Family Planning Essay Sample

Family planning is a crucial thing that every single person on this planet should think about because of the limited number of resources that exist on the earth. If family planning will not be given much attention then there is going to be competition rather we should say tough competition among human beings to grab the maximum resources for their survival.

  • Introductory Part on Family Planning Essay
  • Main Body Of Family Planning Essay
  • Conclusion :- Family Planning Essay

Essay Sample On Family Planning

Introductory Part on Family Planning Essay Planning your family is one of the most important decisions you will make in life. It can be a difficult decision to make, but it is crucial that you plan ahead before having children because this decision will affect your entire life and the lives of those around you. There are many different ways to go about planning for your family, so take some time to think about what would work best for you and your future family. Main Body Of Family Planning Essay Family planning is, therefore, must in such places so that the pressure on the resources of the region can be lowered to a great extent. There are nations like China where the rise of the population has taken a massive range in the country and now the government is trying to have control over the growth of the population. We can see how the population growth of China is in a stagnant state for the past couple of decades. This is because it has taken control of the growth of the population by asking the citizens for better family planning where they cannot reproduce more than one child in their life. Family planning is not only associated with the personal life of a person but at the same time, it is a national issue. It can be associated with the fraction of youth in the population of a country, pressure on the economy and other resources, and competition for survival. If a nation is lacking a young population there is a fair chance that it is going to face severe challenges in the future. This is because when the working population of the country is less than the old one then it is a great concern for the country which can be tackled by the family planning by the citizens by thinking about the growth of the country on a world scale. Various instructions are given by the government of many countries that are concerned with the family planning that citizens are supposed to follow. Buy Customized Essay on Family Planning At Cheapest Price Order Now Must View: Essay Sample On “Adoptive Family Advantages And Disadvantages” Conclusion :- Family Planning Essay Family planning is a very important part of our lives. It’s not just about birth control, it’s also about the emotional and physical well-being of each person in the family. As we know, there are many factors that can affect one or more members of the family including illness, accidents, marriage breakdowns, and work pressures. The truth is that every member has to be considered when making decisions on how often to have children as well as what kind of contraceptive methods will be used. Hire USA Experts for Family Planning Essay Order Now

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Family Planning

Ideal family planning includes consideration of the timing of marriage, number and spacing of children, and when the first and last births will occur. It requires that couples discuss sexuality, contraception, and other long-range plans such as schooling or work plans that affect births. North Americans still do little of this planning, and teenagers receive insufficient instruction about these topics. Family planning should be an important part of the modern lifestyle. If individuals do not take on this responsibility, there is always the potential that government, as in the case of China, will see a need to intervene.

See also: A BORTION ; A CQUIRED I MMUNODEFICIENCY S YNDROME (AIDS) ; A BSTINENCE ; A SSISTED R EPRODUCTIVE T ECHNOLOGIES ; B IRTH C ONTROL : C ONTRACEPTIVE M ETHODS ; B IRTH C ONTROL : S OCIOCULTURAL AND H ISTORICAL A SPECTS ; C HILDCARE ; C HILDLESSNESS ; C IRCUMCISION ; F ERTILITY ; H UTTERITE F AMILIES ; I NFANTICIDE ; P REGNANCY AND B IRTH ; S EXUALITY ; S EXUALITY E DUCATION ; S EXUALLY T RANSMITTED D ISEASES ; S INGLE -P ARENT F AMILIES

Bibliography

Bullough, B., and Bullough, V. (1998). Contraception. Buffalo, NY: Prometheus Books.

Bullough, V. (2001). Encyclopedia of Birth Control. Santa Barbara, CA: ABC-Clio.

Bullough, V., and Bullough, B. (1983–84). "Population Control vs. Freedom in China." Free Inquiry 3:12–15.

Bullough, V., and Bullough, B. (1995) Sexual Attitudes: Myths and Realities. Buffalo, NY: Prometheus.

Central Intelligence Agency. (1998). The World Factbook 1997–98. Washington, DC: Brassey.

Cleland, J., and Hobcraft, J., eds. (1985) Reproductive Change in Developing Countries: Insights from the World Fertility Survey. Oxford, UK: Oxford University Press.

Coale, A. J. (1971). "The Decline of Fertility in Europe from the French Revolution to World War II." In Fertility and Family Planning: A World View, ed. S. J. Behrman, L. Cors, Jr., and R. Freedman. Ann Arbor: University of Michigan Press.

Freeman, S., and Bullough, V. (1993). The Complete Guide to Fertility Planning. Buffalo, NY: Prometheus.

Green, C. P. (1992). The Environment and Population Growth: Decade for Action. Supplement to Population Reports, Series M., No. 10, Vol. 20. Baltimore: Population Information Program, The Johns Hopkins University.

McKeown, T. (1976). The Modern Rise of Population. New York: Academic Press.

Van de Walle, E. (1978). "Alone in Europe, The French Fertility Decline Until 1850." In Historical Studies of Changing Fertility, ed. C. Tilly. Princeton, NJ: Princeton University Press.

"Why Family Planning Matters." Population Reports, Series J., Number 49, 2000.

Other Resources

International Planned Parenthood Federation. (2002). Available from http://www.ippf.org .

VERN L. BULLOUGH

Additional topics

  • Family Planning - Infertility
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Marriage and Family Encyclopedia Pregnancy & Parenthood Family Planning - Methods And Effectiveness, Social Regulation, Infertility, Conclusion

  • Human Reproduction
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The need for family planning

  • Population and Environment 28(4):212-222
  • 28(4):212-222

Ndola Prata at University of California, Berkeley

  • University of California, Berkeley

Abstract and Figures

Percent of married women using contraception, 1960 to the late 1990s

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Family planning/contraception methods

  • Among the 1.9 billion women of reproductive age group (15–49 years) worldwide in 2021, 1.1 billion have a need for family planning; of these, 874 million are using modern contraceptive methods, and 164 million have an unmet need for contraception (1) .
  • The proportion of the need for family planning satisfied by modern methods, Sustainable Development Goals (SDG) indicator 3.7.1, has stagnated globally at around 77% from 2015 to 2022 but increased from 52% to 58% in sub-Saharan Africa (2) .
  • Only one contraceptive method, condoms, can prevent both a pregnancy and the transmission of sexually transmitted infections, including HIV.
  • Use of contraception advances the human right of people to determine the number and spacing of their children.
  • In 2022, global contraceptive prevalence of any method was estimated at 65% and of modern methods at 58.7% for married or in a union women (3) .

There are many different types of contraception, but not all types are appropriate for all situations. The most appropriate method of birth control depends on an individual’s overall health, age, frequency of sexual activity, number of sexual partners, desire to have children in the future, and family history of certain diseases. Ensuring access for all people to their preferred contraceptive methods advances several human rights including the right to life and liberty, freedom of opinion, expression and choice and the right to work and education, as well as bringing significant health and other benefits.

Use of contraception prevents pregnancy-related health risks for women, especially for adolescent girls, and when expressed in terms of interbirth intervals, children born within 2 years of an elder sibling have a 60% increased risk of infant death, and those born within 2–3 years a 10% increased risk, compared with those born after an interval of 3 years or longer (4) . It offers a range of potential non-health benefits that encompass expanded education opportunities and empowerment for women, and sustainable population growth and economic development for countries.

The number of women desiring to use family planning has increased markedly over the past two decades, from 900 million in 2000 to nearly 1.1 billion in 2021 (1) .

Between 2000 and 2020, the number of women using a modern contraceptive method increased from 663 million to 851 million. An additional 70 million women are projected to be added by 2030. Between 2000 and 2020, the contraceptive prevalence rate (percentage of women aged 15–49 who use any contraceptive method) increased from 47.7 to 49.0% (5) .

The proportion of women of reproductive age (aged 15–49 years) who have their need for family planning satisfied with modern methods (SDG indicator 3.7.1) is 77.5% globally in 2022, a 10% increase since 1990 (67%) (2) .

The proportion of women of reproductive age (aged 15–49 years) who have their need for family planning satisfied with modern methods (SDG indicator 3.7.1) is 77.5% globally in 2022, an increase of 10 percentage points since 1990 (67%) (2) . Reasons for this slow increase include limited choice of methods; limited access to services, particularly among young, poorer and unmarried people; fear or experience of side-effects; cultural or religious opposition; poor quality of available services; users’ and providers’ bias against some methods; and gender-based barriers to accessing services. As these barriers are addressed in some regions there have been increases in demand satisfied with modern methods of contraception.

Contraceptive methods

Methods of contraception include oral contraceptive pills, implants, injectables, patches, vaginal rings, intra uterine devices, condoms, male and female sterilization, lactational amenorrhea methods, withdrawal and fertility awareness-based methods. These methods have different mechanisms of action and effectiveness in preventing unintended pregnancy. Effectiveness of methods is measured by the number of pregnancies per 100 women using the method per year. Methods are classified by their effectiveness as commonly used into:

  • very effective (0–0.9 pregnancies per 100 women)
  • effective (1–9 pregnancies per 100 women)
  • moderately effective (10–19 pregnancies per 100 women)
  • less effective (20 or more pregnancies per 100 women).

For details on the mechanism of action and effectiveness of different contraceptive methods, click here .

WHO response

Achieving universal access and the realization of sexual and reproductive health services will be essential to fulfil the pledge of the 2030 Agenda for Sustainable Development that “no one will be left behind”. It will require intensified support for contraceptive services, including through the implementation of effective government policies and programmes.

WHO is working to promote contraception by producing evidence-based guidelines on safety and service delivery of contraceptive methods and on ensuring human rights in contraceptive programmes. WHO assists countries to adapt and implement these tools to strengthen contraceptive policies and programmes. Additionally, WHO participates in developing new contraceptive technologies to and leads and conducts implementation research for expanding access to and strengthening delivery contraceptive information and services .

1.  United Nations Department of Economic and Social Affairs, Population Division (2022). World Family Planning 2022: Meeting the changing needs for family planning: Contraceptive use by age and method. UN DESA/POP/2022/TR/NO. 4 ( https://www.un.org/development/desa/pd/sites/www.un.org.development.desa.pd/files/files/documents/2023/Feb/undesa_pd_2022_world-family-planning.pdf ).

2.  United Nations, Department of Economic and Social Affairs, Population Division (2022). Estimates and Projections of Family Planning Indicators 2022.

3.  United Nations Population Division: www.population.un.org/dataportal/home ( https://population.un.org/dataportal/home . Accessed May 17, 2023).

4.  Cleland J, Conde-Agudelo A, Peterson H, Ross J, Tsui A. Contraception and health. Lancet. 2012;380(9837):149-156. doi:10.1016/S0140-6736(12)60609-6

5.  United Nations Department of Economic and Social Affairs, Population Division (2020). World Family Planning 2020 Highlights: Accelerating action to ensure universal access to family planning (ST/ESA/SER.A/450).

  • Contraception
  • Mechanism of action and effectiveness of different contraceptive methods

Essays on Family Planning

Family Planning Essays

Ivf & nfp: bioethics and family planning, pros and cons of birth control, the autonomy of family planning and male reproductive rights among latino men aged 20, sustainable development goals, popular essay topics.

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Institute of Medicine (US) Committee on a Comprehensive Review of the HHS Office of Family Planning Title X Program; Stith Butler A, Wright Clayton E, editors. A Review of the HHS Family Planning Program: Mission, Management, and Measurement of Results. Washington (DC): National Academies Press (US); 2009.

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A Review of the HHS Family Planning Program: Mission, Management, and Measurement of Results.

  • Hardcopy Version at National Academies Press

2 Overview of Family Planning in the United States

According to the Centers for Disease Control and Prevention (CDC), family planning is one of the 10 great public health achievements of the twentieth century, on a par with such accomplishments as vaccination and advances in motor vehicle safety (CDC, 1999). The ability of individuals to determine their family size and the timing and spacing of their children has resulted in significant improvements in health and in social and economic well-being (IOM, 1995). Smaller families and increased child spacing have helped decrease rates of infant and child mortality, improve the social and economic conditions of women and their families, and improve maternal health. Contemporary family planning efforts in the United States began in the early part of the twentieth century. By 1960, modern contraceptive methods had been developed, and in 1970 federal funding for family planning was enacted through the Title X program, the focus of this report.

This chapter provides an overview of family planning in the United States. It begins by explaining the importance of family planning services and the crucial needs they serve. Next is a review of milestones in family planning, including its legislative history. The third section provides data on the use of family planning services. This is followed by a discussion of the changing context in which these services are provided, including changes in the populations served by Title X, changes in technology and costs, the growing evidence base for reproductive health services, and social and cultural factors. The fifth section addresses the financing of family planning. The final section presents conclusions.

  • WHY FAMILY PLANNING IS IMPORTANT

According to the World Health Organization (WHO), family planning is defined as “the ability of individuals and couples to anticipate and attain their desired number of children and the spacing and timing of their births. It is achieved through use of contraceptive methods and the treatment of involuntary infertility” (working definition used by the WHO Department of Reproductive Health and Research [WHO, 2008]). The importance of family planning is clear from its benefits to individuals, as well as to families, communities, and societies (AGI, 2003). Family planning serves three critical needs: (1) it helps couples avoid unintended pregnancies; (2) it reduces the spread of sexually transmitted diseases (STDs); and (3) by addressing the problem of STDs, it helps reduce rates of infertility.

These benefits are reflected in the federal government’s continued recognition of the contribution of family planning and reproductive health to the well-being of Americans. Responsible sexual behavior is one of the 10 leading health indicators of Healthy People 2010, a set of national health objectives whose goal is to increase the quality of life and years of healthy life. The Healthy People indicators reflect major public health concerns. The United States has set a national goal of decreasing the percentage of pregnancies that are unintended from 50 percent in 2001 to 30 percent by 2010 (HHS, 2000). The objectives for increasing responsible sexual behavior are to increase the proportion of adolescents who abstain from sexual intercourse or use condoms if currently sexually active, and to increase the proportion of all sexually active persons who use condoms.

The 2007–2012 Department of Health and Human Services (HHS) Strategic Plan is intended to provide direction for the Department’s efforts to improve the health and well-being of Americans. The provision of family planning services promotes several HHS goals, including increasing the availability and accessibility of health care services, preventing the spread of infectious diseases (through testing for STDs/HIV), promoting and encouraging preventive health care, and fostering the economic independence and social well-being of individuals and families. The contribution of Title X to these goals is discussed in Chapter 3 . 1

Finding 2-1. The provision of family planning services has impor tant benefits for the health of individuals, families, communities, and societies. There is a continued need for investment in family planning and related reproductive health services, particularly for those who have difficulty obtaining these important services.

Avoiding Unintended Pregnancy

The ability to time and space children reduces maternal mortality and morbidity by preventing unintended and high-risk pregnancies (World Bank, 1993; Cleland et al., 2006). Unintended pregnancy is associated with an increased risk of morbidity for the mother and with health-related behaviors during pregnancy, such as delayed prenatal care, tobacco use, and alcohol consumption, that are linked to adverse effects for the child. According to the Institute of Medicine (IOM) report The Best Intentions: Unintended Pregnancy and the Well-Being of Children and Families :

The child of an unwanted conception especially (as distinct from a mistimed one) is at greater risk of being born at low birth weight, of dying in its first year of life, of being abused, and of not receiving sufficient resources for healthy development. The mother may be at greater risk of depression and of physical abuse herself, and her relationship with her partner is at greater risk of dissolution. Both mother and father may suffer economic hardship and may fail to achieve their educational and career goals. Such consequences undoubtedly impede the formation and maintenance of strong families. (IOM, 1995, p. 1)

In 2000, approximately half of unintended pregnancies resulted in abortion (Finer and Henshaw, 2006); thus the availability and appropriate use of contraception can also reduce abortion rates (AGI, 2003). 2 In addition to preventing unintended pregnancies, effective use of contraceptives (latex condoms) can reduce the transmission of STDs (see the discussion below).

When children are adequately spaced (with conception taking place no sooner than 18 months after a live birth, or about 2.5 years between births), they are less likely to suffer complications. Such complications include low birth weight, which is associated with a host of health and developmental problems (Conde-Agudelo et al., 2006). Low birth weight and premature birth are more likely to occur to women under 18 and over 35, and to those who have already had four or more births (WHO, 1994).

In addition to its maternal and infant health benefits, family planning can increase the involvement of partners in decisions about whether and when to have children. One of the most important aspects of helping people plan for pregnancy is helping them avoid unintended pregnancy. Couples who are able to plan their families experience less physical, emotional, and financial strain; have more time and energy for personal and family development; and have more economic opportunities (Cleland et al., 2006). In turn, effective family planning results in fewer strains on community resources, such as social services and health care systems (WHO, 1994) .

According to the IOM report cited above, women are considered at risk of unintended pregnancy if they “(1) have had sexual intercourse; (2) are fertile, that is, neither they nor their partners have been contraceptively sterilized and they do not believe that they are infertile for any other reason; and (3) are neither intentionally pregnant nor have they been trying to become pregnant during any part of the year” (IOM, 1995, p. 28). Among the nearly 50 million sexually active women aged 18–44, 28 million (56 percent) are at risk of unintended pregnancy (Frost et al., 2008a). Given that the onset of sexual activity increasingly occurs before marriage, when the proportion of pregnancies that are unintended is greatest (see below), the highest proportion of women at risk of unintended pregnancy is found among those aged 18–29 (70 percent), although a significant proportion of women aged 30–44 (40 percent) are also at risk (IOM, 1995).

While significant advances have been made in contraceptive technology and the availability of family planning services, rates of unintended pregnancy in the United States remain high, particularly for certain segments of the population. In 2001, 49 percent of pregnancies were unintended, a rate that had not changed since 1994 (Finer and Henshaw, 2006) . In 2001, unintended pregnancies resulted in 1.4 million births, 1.3 million induced abortions, and an estimated 400,000 miscarriages (Frost et al., 2008a). Notably, the United States has high rates of unintended pregnancy compared with other developed countries. For example, the percentage of unintended pregnancies in France is 33 percent and in Scotland 28 percent (Trussell and Wynn, 2008). Unintended pregnancies result in societal burden, and significant economic savings are realized through investment in family planning services. The Guttmacher Institute has estimated that every $1.00 invested in helping women avoid unwanted pregnancies saved $4.02 in Medicaid expenditures (Frost et al., 2008b).

A variety of factors contribute to unintended pregnancy, including lack of access to contraception, failure of chosen contraceptive methods, less than optimal patterns of contraceptive use or lack of use, and lack of adequate motivation to avoid pregnancy (Frost et al., 2008a). The reasons for the high rate of unintended pregnancies in the United States, particularly in relation to rates in other industrialized countries, are poorly understood. A better understanding of these reasons from the perspective of current, former, and potential users of family planning services is needed (see Chapter 5 for discussion of the need for better data collection systems to capture client perspectives).

Unintended pregnancy is most likely among women who are young, unmarried, low-income, and/or members of racial or ethnic minorities (see Figures 2-1 through 2-3 , respectively), although it occurs in significant numbers across demographic groups (IOM, 1995). Teenagers and young adults aged 18–24 have the highest rates of unintended pregnancy—more than one intended pregnancy occurred for every 10 women in this age range, which is twice the rate for women overall (Finer and Henshaw, 2006). Unsurprisingly, unintended pregnancies represent the highest proportion of all pregnancies among teenagers and young adults as well, ranging from 100 percent for those under 15, to 82 percent among those aged 15–19, to 60 percent among those aged 20–24 (Finer and Henshaw, 2006). However, teenage pregnancy rates dropped 38 percent between 1990 and 2004, from 116.8 per 1,000 to 72.2 per 1,000 among those aged 15–19 (NCHS, 2008). The pregnancy rate dropped more sharply among teenagers aged 15–17 (from 77.1 per 1,000 in 1990 to 41.5 in 2004, a 46 percent decline) than among those aged 18–19 (167.7 per 1,000 to 118.6 per 1,000, a 29 percent decline). The teenage birth rate also declined over the past two decades, from a peak of 61.8 per 1,000 in 1991 to 40.5 per 1,000 in 2005, a 35 percent decrease. The birth rate among teenagers aged 15–19 increased 3 percent between 2005 and 2006, to 41.9 per 1,000 (NCHS, 2008). Teenage pregnancy rates are currently available only through 2004, but preliminary data suggest that there may also have been an increase in the teen pregnancy rate between 2005 and 2006 (The National Campaign, 2009).

Percentage of pregnancies that were unintended, by age, 1994 and 2001. SOURCE: Finer and Henshaw, 2006.

Percentage of pregnancies that were unintended, by race and ethnicity, 1994 and 2001. SOURCE: Finer and Henshaw, 2006.

With regard to marital status, the rate of unintended pregnancy is significantly higher among unmarried women (67 per 1,000) than among married women (32 per 1,000) (Finer and Henshaw, 2006). Fully 74 percent of pregnancies among unmarried women were unintended in 2001, compared with 27 percent of those among married women (Finer and Henshaw, 2006). The rate of unintended pregnancy is also substantially higher among poor women (112 per 1,000) than among women living at or above 200 percent of the federal poverty level (29 per 1,000) (Finer and Henshaw, 2006). The proportion of unintended pregnancies is inversely related to income: among pregnant women living at or below the poverty level in 2001, 62 percent of pregnancies were unintended; in comparison, 38 percent of pregnancies were unintended among women at or above 200 percent of the poverty level (Finer and Henshaw, 2006). However, because women with higher incomes are more likely to have an abortion when they experience an unintended pregnancy, the rate of unintended births among poor women (58 per 1,000) is more than five times greater than that among women in the highest income category (11 per 1,000) (Finer and Henshaw, 2006). Unintended pregnancy rates are also higher among women with lower levels of education and minority women (Finer and Henshaw, 2006).

Percentage of pregnancies that were unintended, by income as a percentage of the federal poverty level, 1994 and 2001. SOURCE: Finer and Henshaw, 2006.

Preventing Sexually Transmitted Diseases and Reducing Infertility

In addition to preventing unintended pregnancies, Title X was designed, particularly after the 1978 amendment, to emphasize services for adolescents and infertility services. As discussed later in this chapter, the 1995 program priorities provided for expansion of reproductive health services to include screening for and prevention of STDs, including HIV/AIDS. The diagnosis and treatment of STDs is an essential component of comprehensive reproductive health care and, as noted above, also helps reduce rates of infertility.

Notable shifts have occurred in the prevalence of STDs. In 1970, gonorrhea was the most prevalent STD (see Figure 2-4 ). Rates of gonorrhea peaked in 1975 at 464 cases per 100,000 and declined dramatically during the 1980s and early 1990s following the implementation of the national gonorrhea control program in the mid-1970s (CDC, 2007). Rates leveled off during the past decade to a low of 112.4 cases per 100,000 in 2004, but increased in both 2005 and 2006 (to 120.9 cases per 100,000). Changes in screening and reporting practices, as well as the use of varying diagnostic tests, may mask true increases or decreases in the disease (CDC, 2007).

Rates of sexually transmitted diseases reported by state health departments per 100,000 population, United States, 1970–2006. NOTE: Chlamydia rates were not reported until 1984.

Rates of chlamydia (reported since 1984) have steadily increased over time, although the increase in reported infections reflects increased screening activities, improvements in diagnostic testing, stronger reporting requirements, and better reporting systems, as well as possible true increases in the disease (CDC, 2007). There is evidence that chlamydia is associated with subsequent infertility (Mol et al., 1997; Land and Evers, 2002), although it is not absolutely clear whether routine screening will reduce tubal infertility. However, screening is a CDC recommendation and Healthcare Employer Data and Information Set requirement. In 2006, there were 347 cases of chlamydia per 100,000 individuals in the civilian population.

Compared with gonorrhea and chlamydia, rates of syphilis have remained relatively low. In 2006, there were 12.5 cases of syphilis at all stages per 100,000 individuals in the United States. Nonetheless, the disease remains an important problem that is more common in the south and in urban areas in other parts of the country (CDC, 2007).

Nonexistent at the time Title X was enacted, HIV/AIDS emerged in the early 1980s, and today more than 1.2 million people in the United States are living with HIV/AIDS. While the number of new AIDS cases and deaths has declined since the early to mid-1990s, the number of Americans living with AIDS has steadily increased (see Figure 2-5 ).

Estimated new AIDS cases, deaths among persons with AIDS, and people living with AIDS, 1985–2004. SOURCE: The Henry J. Kaiser Family Foundation, 2005. This information was reprinted with permission from the Henry J. Kaiser Family Foundation. The (more...)

In 2006, the CDC estimated that approximately 1.1 million persons were living with HIV infection, three-quarters of whom were men and one-quarter of whom were women. In 2006, nearly half (48 percent, or 532,000 persons) of all people living with HIV were men who have sex with men (CDC, 2008b). People exposed through high-risk heterosexual contact (which includes those who report specific heterosexual contact with a person known to have or to be at high risk for HIV infection, such as injection drug users) accounted for an additional 28 percent (305,700 persons) of all people living with HIV in 2006 (CDC, 2008b).

Minorities, particularly African Americans and Hispanics, are disproportionately affected by HIV. While African Americans make up only 12 percent of the U.S. population, they accounted for nearly half (46 percent) of all people living with HIV in the United States in 2006. The HIV prevalence rate for African Americans (1,715 per 100,000 population) was almost eight times as high as that for whites (224 per 100,000) in 2006. Hispanics, who make up 15 percent of the total U.S. population, accounted for 18 percent of people living with HIV in 2006. The prevalence rate for Hispanics (585 per 100,000) was nearly three times that for whites (CDC, 2008b).

As shown in Figure 2-6 , the HIV prevalence rate is far higher among men than women regardless of race or ethnicity. Nonetheless, women are also severely affected, particularly African American and Hispanic women, who experience HIV prevalence rates 18 and 4 times the rate for white women, respectively (CDC, 2008).

Estimated HIV prevalence rate per 100,000 population by race and ethnicity and gender, United States, 2006. SOURCE: CDC, 2008b.

Finding 2-2. A significant number of people remain at risk for unintended pregnancy, sexually transmitted diseases, and infertility, and therefore are in need of family planning services.

  • MILESTONES IN FAMILY PLANNING

The United States saw a dramatic decline in maternal and infant mortality, as well as the total fertility rate, 3 during the twentieth century. These declines are associated with the achievements in family planning that took place in this country during that period.

At the beginning of the twentieth century in the United States, the subject of birth control was not openly discussed. For example, anti-obscenity laws, including the federal Comstock law (March 3, 1873, Ch. 258, § 2, 17 Stat. 599), banned the discussion or distribution of contraceptives. These laws were not declared unconstitutional until 1972 ( Eisenstadt v. Baird, 405 U.S. 438). Nonetheless, public interest in and acceptance of birth control increased greatly between 1920 and 1960. Three primary factors fueled these rapid shifts in attitude toward family planning: (1) the changing role of women in American society; (2) concern about population growth; and (3) the availability of new, highly effective contraceptive methods, such as the birth control pill and intrauterine devices (IUDs). Figure 2-7 provides an overview of milestones in family planning in the United States.

Milestones in family planning in the United States (Part 1 of 3). SOURCES: AGI, 2000; AMA, 2000; PBS, 2003.

The women’s movement, which gained ground during the late eighteenth and early nineteenth centuries, centered largely on women’s suffrage until the right to vote was won in 1920. The birth control movement was founded around that time by a public health nurse, Margaret Sanger, who argued that women had the right to control their own bodies and fertility, and that access to birth control was necessary to achieve gender equality. Sanger opened the first birth control clinic in the United States in 1916 and continued to be a strong advocate for the birth control movement throughout the next half century (Wardell, 1980; PBS, 2003).

part 2 of 3.

part 3 of 3.

In 1935, Title V was enacted by Congress as part of the Social Security Act. With roots in the establishment of the Children’s Bureau in 1912, the Title V legislation authorized the creation of Maternal and Child Health programs, which were dedicated to promoting and improving the health of mothers and children. In 1943, the Emergency Maternity and Infant Care Program was enacted (P.L. 78-156). This program provided payment and services for pregnant wives and infants of low-ranking men in the armed forces. Several other developments and changes to the program occurred over the next several decades.

The strong population growth the country experienced as a result of the postwar baby boom in the late 1950s (see Figure 2-8 ) also had a significant effect on American attitudes toward family planning (Barnes, 1970). Studies conducted in the decades after World War II revealed that women were having more children than they desired (Gold, 2001). Low-income women in particular were found to be at risk for unintended pregnancies, largely because they lacked adequate access to contraception, while unplanned births, as discussed above, were associated with increased poverty and dependence on public services (Gold, 2001). The groundwork laid by the establishment of maternal and child health programs was important for the development of family planning programs. Helping individuals avoid pregnancy is an important aspect of enabling them to plan for pregnancy and also an important strategy in improving maternal and child health.

Fertility rate, United States, 1910–2004.4 NOTE: The fertility rate reflects the total number of live births, regardless of age of the mother, per 1,000 women aged 15–44.

The Food and Drug Administration’s (FDA’s) approval of the birth control pill in 1960 marked a significant turning point in the availability of effective and reversible contraceptive methods. Previously, couples had relied on less effective methods, such as condoms, diaphragms, withdrawal, and the rhythm method (Westoff, 1972). The birth control pill was adopted quickly by American women, and by 1970 approximately 22 percent of married women of reproductive age (nearly 6 million women) were using oral contraceptives (Westoff, 1972). The availability and use of the highly effective IUD also grew during this period.

Today, contraceptive technology and options, including long-term methods, are advancing rapidly and increasing in number. More effective methods have been developed, including the combined pill (most recent FDA approval in 2003), Seasonale oral contraceptive (FDA approved in 2003), the contraceptive patch (FDA approved in 2001), the vaginal contraceptive ring (FDA approved in 2001), the contraceptive injectable (most recent [Lunelle] FDA approval in 2000), the sterilization implant (FDA approved in 2002), and the lovenorgestrel-releasing IUD Mirena (FDA approved in 2000). However, the high cost of some of these options, particularly long-term methods, may prohibit their use by many women (see the discussion of changes in technology and costs later in this chapter).

The impact of family planning and contraceptive use in helping couples achieve their desired family size and timing is reflected in the reduction in the national total fertility rate (live births per 1,000 women aged 15–44) shown in Figure 2-8 . Between 1900 and 2004, the rate decreased from 127 to 66 (NCHS, 1975, 2007; Darroch, 2006).

The first federal family planning grants were funded in 1964 through the Office of Economic Opportunity as part of President Lyndon B. Johnson’s War on Poverty. The genesis and popularity of these grants reflected, in part, the recent and increasing availability of new reversible methods of contraception as outlined above. In the mid-1960s, however, it became evident that, because the modest funds from these grants were controlled by the states, the family planning programs developed with these funds varied greatly in their accessibility, eligibility requirements, and services provided. This realization added to the growing interest in having a federal program that could make grants directly to public and private entities within a state, bypassing the state governments.

President Richard Nixon showed a particular interest in family planning. In a message to the Congress in July 1969, he wrote: “It is my view that no American woman should be denied access to family planning assistance because of her economic condition. I believe, therefore, that we should establish as a national goal the provision of adequate family planning services within the next five years to all those who want them but cannot afford them” (Nixon, 1969).

As discussed in Chapter 1 , the Title X Family Planning Program, established in 1970 under Title X of the Public Health Service Act and signed into law by President Nixon, provides grants for family planning services, training, research, and informational and educational materials. In enacting Title X, Congress emphasized that many poor women desired family planning but were unable to obtain it. The program was also intended to decrease the adverse health and financial effects of inadequately spaced childbearing on children, women, and their families (S. Rep. 91-1004, 91st Cong., 2d Sess., [July 7, 1970]; H.R. Rep. No. 91-1472, 91st Cong., 2d Sess., [September 26, 1970]).

Title X has often been affected by the strongly held differences of opinion in this country regarding the acceptability of abortion. The program has been forbidden to pay for abortions since its inception. In the waning days of the Reagan Administration, however, the Secretary of Health and Human Services issued regulations stating that a “Title X project may not provide counseling concerning the use of abortion as a method of family planning or provide referral for abortion as a means of family planning” (53 Fed. Reg 2922-01 [Feb. 2, 1988] codified at 42 CFR § 59.8[a][1], repealed by Presidential Memorandum on January 22, 1993 [58 Fed. Reg. 7455] 42 CFR § 59.8(a)(1)), and forbidding referral of a pregnant woman to an abortion provider even if she specifically requested it (53 Fed. Reg 2922-01 [Feb. 2, 1988] codified at 42 CFR § 59.8[b][5], repealed by Presidential Memorandum on January 22, 1993 [58 Fed. Reg. 7455]) (42 CFR § 59.8(b)(5)). Title X providers were also forbidden to advocate for or support abortion in a host of ways and were required to be “physically and financially separate” from any abortion activities (53 Fed. Reg 2922-01 [Feb. 2, 1988] codified at 42 CFR § 59.9, repealed by Presidential Memorandum on January 22, 1993 [58 Fed. Reg. 7455]) (42 CFR § 59.9). These regulations were upheld by the Supreme Court in 1991 in Rust v. Sullivan (500 U.S. 173) against challenges that they were inconsistent with the statutory language of Title X and violated the constitutional rights of providers and patients, but were repealed shortly after President Clinton took office (58 Fed. Reg. 7455 [January 22, 1993] 59 Fed. Reg. 57560-1, November 14, 1994). In 2000, the following language was adopted (65 Fed. Reg. 41278 [July 3, 2000]; 65 Fed. Reg. 49057 [August 10, 2000]):

Each project supported under this part must: …

(5) Not provide abortion as a method of family planning. A project must:

Offer pregnant women the opportunity to be provided information about each of the following options:

Prenatal care and delivery;

Infant care, foster care, or adoption; and

Pregnancy termination.

If requested to provide such information and counseling, provide neutral, factual information and nondirective counseling on each of the options, and referral upon request, except with respect to any options(s) about which the pregnant woman indicates that she does not wish to receive such information and counseling. 45 CFR § 59.5(a)(5)

The Bush Administration promulgated new regulations, stating that recipients of federal funds may not force clinicians with religious or conscientious objections to abortion to mention or counsel patients about that option or penalize these providers for refusing to do so. The regulations also imposed new requirements for documentation of nondiscrimination against religious objectors. However, a notice of rescission has been published by the Obama Administration (74 Fed. Reg. 10207, March 10, 2009).

Additional funding for family planning services for low-income individuals became available when Congress amended the Medicaid program in 1972 (AGI, 2000). The amendment required all state Medicaid programs to cover family planning services and established two additional Medicaid provisions intended to improve access to such services (Gold et al., 2007). The amendment required that states provide family planning services and supplies to all individuals who desire them and are eligible for Medicaid without cost sharing, and established a special matching rate of 90 percent for those services and supplies. Although Title X was the primary public funding source for family planning in the years after its introduction, Medicaid soon assumed that role (Sonfield et al., 2008a). (See the discussion of financing of family planning services later in this chapter, and Chapter 3 for discussion of the unique role of Title X funding.)

  • THE USE OF FAMILY PLANNING SERVICES

According to CDC, nearly three-quarters of women of reproductive age (approximately 45 million women aged 15–44) received at least one family planning or related medical service in 2002 (Mosher et al., 2004). Among women who have ever had intercourse, 98 percent have used at least one method of contraception (Mosher et al., 2004).

Contraceptive use is common among women aged 15–44. In 2002, almost two-thirds (62 percent) of women in this age group reported using one or more forms of contraception; the remaining 38 percent were not currently using a contraceptive method for such reasons as being pregnant or postpartum, trying to get pregnant, or not being sexually active (Chandra et al., 2005). Among those reporting using contraception in the month of interview, the most common methods cited were the contraceptive pill (19 percent), female sterilization (17 percent), male condoms (15 percent), male sterilization (6 percent), and withdrawal (5 percent). Other methods, including the contraceptive implant, patch, diaphragm, periodic abstinence, rhythm, natural family planning, sponge, cervical cap, and female condom, were reported by 4 percent; the 3-month injectable Depo-Provera by 3 percent; and an IUD by 1 percent (Chandra et al., 2005). Women may have reported multiple methods used concurrently.

Figure 2-9 illustrates the percentage of women aged 20–44 who reported current use of a contraceptive method in 2002, by percent of the federal poverty level. The incidence of female sterilization is strongly correlated with poverty. It is the contraceptive method reported most commonly by women living below 149 percent of the federal poverty level (41 percent), as well as those living at 150–299 percent of that level (33 percent). By contrast, among those earning above 300 percent of the federal poverty level, 20 percent reported using female sterilization. The pill is the most popular method cited by those with incomes at or above 300 percent of the federal poverty level (36 percent), and the second most popular among women at lower income levels (Chandra et al., 2005).

Percentage of women aged 20–44 currently using a method of contraception, by primary method and percent of federal poverty level (FPL), United States, 2002. NOTE: “Other methods” include Norplant TM , Lunelle TM , contraceptive patch, (more...)

Figure 2-10 shows the percentage distribution of women aged 15–44 by current contraceptive status and race and ethnicity. Women of Hispanic or Latina origin and black women reported greater rates of female sterilization, while white women were more likely than Hispanic or black women to report relying on male sterilization as their primary form of contra ception. White women reported significantly higher use of the contraceptive pill (22 percent) as compared with black (13 percent) and Hispanic (13 percent) women. Hispanic women were more likely to use an IUD as a contraceptive method. Condom use did not appear to vary by race and ethnicity (Chandra et al., 2005). The reasons for these differences in contraceptive methods, which may reflect social, economic, or cultural factors, are not fully understood and warrant further exploration.

FIGURE 2-10

Percentage distribution of women aged 15–44, by current contraceptive status and race and ethnicity, United States, 2002. SOURCE: Chandra et al., 2005.

  • THE CHANGING CONTEXT IN WHICH FAMILY PLANNING SERVICES ARE PROVIDED

In the 38 years since the establishment of Title X, the health care system and the overall social environment of the United States have changed in ways that dramatically increase the complexity and cost of providing family planning services to the groups served by the program. The numbers of individuals requiring publicly funded family planning services have undergone substantial shifts and grown dramatically overall. Social changes, particularly sexual values and social norms regarding sexual activity and reproductive health services, have affected the desire for and delivery of services. Technological advances have expanded the number and quality of contraceptive options available to women, leading to rapidly changing standards of care and increased costs. The greater diversity of people in need also increases the complexity of providing appropriate care. Changes in the financing of health care have left an ever-growing number of people in need of family planning services, despite the infusion of new funds from Medicaid. This section reviews these changes in the social and health care landscapes to provide a clearer picture of the ongoing need for and challenges facing the Title X program.

Changes in Populations Served by Title X

As noted earlier, while the Title X program is designed to provide access to services for all who want and need them, special emphasis is placed on low-income individuals and adolescents. The population of low-income individuals is disproportionately comprised of racial and ethnic minorities. According to a recent estimate, of the 36.2 million women in need of contraceptive services and supplies (sexually active and able to become pregnant, but not wishing to become pregnant), 17.5 million needed publicly funded services because they had incomes below 250 percent of the federal poverty level or were younger than 20 (Guttmacher Institute, 2008b). This figure represents an increase of 7 percent since 2000. While men are identified as a group to be served by Title X, they make up only a small percentage of Title X clients.

When the program was established in 1970, approximately 6.4 million people aged 18–44 (3.9 million women and nearly 2.5 million men) were living below the federal poverty level (see Figure 2-11 ). The number of adults living in poverty peaked in 1993 at 15.1 million. After a steady decline for several years, the number of poor Americans began to rise again in 2001. In 2007, 13.8 million Americans aged 18–44 (8.2 million women and 5.6 million men) lived in poverty. (While these absolute numbers more than doubled between 1970 and 2007, the percentage living in poverty among all people aged 18–44 increased more gradually, from 9 to 12.5 percent.)

FIGURE 2-11

Number and percent of people aged 18–44 living in poverty, 1970 to 2007. NOTES: Data prepared by Census Survey Processing Branch/Housing and Household Economic Statistics Division. For information on confidentiality protection, sampling error, (more...)

Although projections of the number of people living in poverty are not provided by the Census Bureau, Figure 2-12 indicates that the total number of adults aged 18–44 is expected to grow over the next 20 years—from 112 million in 2007 to 125 million in 2025. One would expect the number of people in need of publicly funded family planning services to rise accordingly, especially in light of current economic conditions. Specific subpopulations—adolescents, racial and ethnic minorities, immigrants, and the undocumented population—are discussed in turn below.

FIGURE 2-12

Projections of numbers of U.S. adult residents aged 18–44, 2007–2025. SOURCE: U.S. Census Bureau, 2008b.

Adolescents

Providing family planning services to adolescents is a crucial function of Title X programs; the 1978 amendment to Title X emphasized expanding services to this population. As discussed above, the rate of unintended pregnancy is higher in this group compared with women in other age groups. The adolescent population has changed dramatically in the past several decades (see Figure 2-13 ). In 1970, there were approximately 20.1 million adolescents between the ages of 13 and 17 in the United States. By 1975, this number had increased to 21.3 million. From the late 1970s through the 1980s, the population of teens declined, reaching a low point of 16.7 million in 1990. Since then, the number of teens has steadily increased. In 2006, the last year for which population estimates are currently available from the Census Bureau, there were 21.4 million adolescents aged 13–17. The ratio of male to female adolescents remained constant throughout the period 1970–2006, with males making up 51 percent of the adolescent population and females 49 percent. Projections for 2008, which are based on Census 2000, suggest that the adolescent population will decrease from 2008 to 2012 (from 21.5 to 20.9 million), and then steadily increase from 2013 to 2025 (from 20.9 to 23.6 million). As shown in Figure 2-13 , the proportion of the total U.S. population represented by adolescents has decreased since 1970, but has hovered at about 7 percent since the late 1980s and is expected to remain steady at around this level over the next 20 years. Nonetheless, as the absolute number of adolescents continues to rise, so, too, will their need for care.

FIGURE 2-13

Estimates and projections of number of adolescents aged 13–17 and adolescents as a proportion of the total population, 1970–2025. SOURCES: U.S. Census Bureau, 2008b, 2009a,b.

The adolescent population is more racially and ethnically diverse than the general population, with greater percentages of African Americans, Hispanics, and American Indians than are found among the population as a whole (NAHIC, 2003). African American and Hispanic adolescents are significantly more likely than same-age peers of other racial/ethnic groups to have family incomes at or below the federal poverty level (NAHIC, 2003). Adolescents also have unique health needs stemming from the developmental and mental health factors associated with this age period. They are often using contraception for the first time and so need extra attention to ensure success. Moreover, adolescents may be more likely than adults to engage in risky behaviors that can have adverse health effects. Some adolescents, particularly those who are uninsured or underinsured (see the discussion of the uninsured below), may have little access to primary medical care and may instead rely for care on school health centers, publicly funded clinics, and hospital emergency departments. Finally, confidentiality is a particularly common concern among adolescents that requires a unique response from health care providers. (See the further discussion of adolescents in the section on serving populations that are the focus of Title X in Chapter 4 .)

Racial and Ethnic Minorities

As noted earlier, the population of low-income individuals is disproportionately composed of racial and ethnic minorities. Changes in the definitions of various racial and ethnic groups in the United States make it somewhat difficult to assess trends. (Starting with the 2000 Census questionnaire, race and Hispanic ethnicity were recorded separately.) Nonetheless, marked shifts have clearly occurred in the racial and ethnic composition of the U.S. population (see Figure 2-14 ). In 1980, Hispanics made up 6.5 percent of the total U.S. population; by 2000, this proportion had risen to approximately 12.6 percent (CensusScope, 2001). In 2007, 20 million Hispanics (of any race) of reproductive age (18–44) were living in the United States, 3.8 million (18.9 percent) of whom were living below 100 percent of the federal poverty level (U.S. Census Bureau, 2008a). The proportion of black non-Hispanics remained relatively stable, increasing from 11.5 to slightly over 12 percent between 1980 and 2000 (CensusScope, 2001). In 2007, 14.6 million African Americans (who did not report any other race category, including Hispanic) of reproductive age (18–44) were living in the United States, 3.2 million (21.7 percent) of whom were living below 100 percent of the federal poverty level (U.S. Census Bureau, 2008a). The Asian population grew from 1.5 percent to 3.6 percent between 1980 and 2000 (CensusScope, 2001). In 2007, 5.8 million Asians (who did not report any other race category, including Hispanic) of reproductive age (18–44) were living in the United States, 563,000 (9.7 percent) of whom were living below 100 percent of the federal poverty level (U.S. Census Bureau, 2008a). The American Indian population remained at less than 1 percent in 2000 (CensusScope, 2001).

FIGURE 2-14

Race and ethnicity selections, U.S. Census, 1998–2000. SOURCE: CensusScope, 2001.

Figure 2-15 shows the 2006 racial distribution of the U.S. population for both people of Hispanic origin and those who did not identify themselves as Hispanic or Latino. In 2006, 67 percent of the U.S. population self-identified as white, not of Hispanic origin, while 12 percent self-identified as black or African American, not of Hispanic origin (U.S. Census Bureau, 2000). An additional 4 percent self-identified as Asian, not of Hispanic origin. Within the 15 percent of the population that identified themselves as being of Hispanic or Latino origin, the most common racial designation was white (53 percent of the population), followed by some other race alone (40 percent) and two or more races (7 percent) (U.S. Census Bureau, 2000).

FIGURE 2-15

Racial distribution of the U.S. population by Hispanic or Latino origin, 2006. SOURCE: U.S. Census Bureau, 2006.

A greater proportion of racial and ethnic minorities lived in poverty compared with white Americans (see Figure 2-16 ). Compared with 8.8 percent of white non-Hispanics, 21.7 percent of non-Hispanic blacks, 9.7 percent of non-Hispanic Asians, 21.5 percent of Hispanics (of any race) had incomes below the federal poverty level in 2007 (U.S. Census Bureau, 2008a). Despite the lower percentage of non-Hispanic whites living in poverty, this population made up almost half of those living in poverty because it represents two-thirds of the overall population.

FIGURE 2-16

Percentage of people aged 18–44 living below 100 percent of the federal poverty level, by race and ethnicity, 2007. SOURCE: U.S. Census Bureau, 2008a.

In 2003, the most recent year for which data are available, there were approximately 33.5 million “foreign born” individuals living in the United States, representing 11.7 percent of the population (U.S. Census Bureau, 2003). The U.S. Census Bureau uses the term “foreign born” to refer to anyone who is not a U.S. citizen at birth, including naturalized U.S. citizens, lawful permanent residents, temporary residents (such as foreign students), refugees, and those who are present illegally (undocumented) in the United States. Because the Current Population Survey (CPS) conducted by the Census Bureau is intended to represent all residents of the United States living in households (persons in institutions are excluded), undocumented immigrants are assumed to be included in the data. However, because the CPS includes no questions intended to determine legal status, undocumented immigrants cannot be identified from CPS data (see the section on the undocumented population below).

Both the number of foreign born persons in the United States and their proportion of the American population have risen since Title X was enacted in 1970 (see Figure 2-17 ). In 2003, approximately 30 percent of foreign born persons currently residing in the United States (9.2 million) were women aged 15–44 (U.S. Census Bureau, 2003).

FIGURE 2-17

Foreign born persons aged 15–44 in the United States, number and percent of the total population, 1900–2003. NOTE: These numbers reflect the civilian noninstitutionalized population aged 15–44 living in the United States; institutionalized (more...)

Among the 33.5 million foreign born persons living in the United States in 2003, the most common region of birth was Latin America (52.3 percent), followed by Asia (27.3 percent); Europe (14.2 percent); and “other areas,” including Africa, Oceania, and North America (6.2 percent) (U.S. Census Bureau, 2003). The majority of those born in Latin America were originally from Mexico.

Foreign born persons who become naturalized citizens of the United States are less likely to have household incomes below the federal poverty level than citizens born in the United States (13.2 percent of native U.S. citizens aged 18–44 were living below the poverty level in 2007, as compared with 9.1 percent of naturalized U.S. citizens) (see Figure 2-18 ). In contrast, a significantly higher proportion (20.4 percent in 2007) of foreign born persons aged 18–44 who are not citizens have household incomes below the poverty level (based on the 2007 American Community Survey Public Use Microdata Sample [ http://factfinder.census.gov/home/en/acs_pums_2007_1yr.html ]).

FIGURE 2-18

Poverty status of the population aged 18–44 by origin of birth and U.S. citizenship status, 2007. SOURCE: Based on the 2007 American Community Survey Public Use Microdata Sample (http://factfinder.census.gov/home/en/acs_pums_2007_1yr.html).

Undocumented Population

The number of undocumented individuals has grown significantly in the past 20 years. While U.S. government agencies do not count this population or define its demographic characteristics, others have provided estimates of its size. According to the Pew Hispanic Center, 11.9 million unauthorized migrants were residing in the United States in 2008, representing about one-third of the country’s foreign born and 4 percent of its total population (Pew Hispanic Center, 2008). This undocumented population was composed primarily of individuals from Mexico (59 percent). Approximately 22 percent were from other Latin American countries, 12 percent were from Asia, 4 percent had immigrated from Europe and Canada, and 4 percent were from elsewhere (Pew Hispanic Center, 2008). According to 2004 data, the undocumented population resided across the country, with 68 percent living in eight states: California, Texas, Florida, New York, Arizona, Illinois, New Jersey, and North Carolina (Pew Hispanic Center, 2008). Women aged 18–39 made up 29 percent (3 million) of undocumented persons, and children under 18 represented 17 percent (1.7 million) (Pew Hispanic Center, 2005).

Finding 2-3. Populations in greatest need of family planning services—low-income individuals and adolescents—have grown dramatically in the last 40 years in absolute numbers, in diversity, and in the complexity of their needs. Their demand for care is likely to continue to grow.

Changes in Technology and Costs

Since 1970, the number of contraceptive methods available to men and women has increased. The birth control pill, the IUD, the male condom, and sterilization were the primary methods available when Title X was enacted. Additional, more effective and safer methods have since become available, including improved oral contraceptives and IUDs, injectables, the contraceptive patch, and the contraceptive ring (see Table 2-1 for an overview of family planning methods and their effectiveness).

TABLE 2-1. Summary of Contraceptive Efficacy: Percentage of Women Experiencing an Unintended Pregnancy During the First Year of Typical Use and the First Year of Perfect Use of Contraception and the Percentage Continuing Use at the End of the First Year, United States.

Summary of Contraceptive Efficacy: Percentage of Women Experiencing an Unintended Pregnancy During the First Year of Typical Use and the First Year of Perfect Use of Contraception and the Percentage Continuing Use at the End of the First Year, United (more...)

A large gap exists between typical and perfect use across contraceptive methods. Because there is less reliance on accurate use by the patient, long-term methods such as injectables and IUDs are more effective in practice than oral contraceptives or condoms at preventing pregnancy. Greater knowledge clearly is needed regarding the most effective ways to support successful method use for shorter-term contraceptives. More effective and long-term contraceptives are more expensive to provide. Comprehensive data on prices paid by providers and clinics for contraceptive supplies are limited, as confidentiality agreements with manufacturers prohibit the disclosure of this information (Sonfield et al., 2008a). However, the limited data available indicate that the patch and vaginal ring generally cost pub licly funded family planning agencies more ($11 and $26 per patient per cycle, respectively, in 2005) than the most commonly used oral contraceptives among Title X clients ($2 per cycle) (Lindberg et al., 2006).

In addition to the cost of contraceptive supplies, the cost of diagnostic tests has increased significantly. Federal regulation of clinical laboratories (Clinical Laboratory Improvement Amendments Act of 1988, P.L. 100-578) contributed to increased costs for Pap tests (Dailard, 1999). Costs are also greater for new technologies such as improved Pap smears for the detection of cervical cancer and human papillomavirus, DNA-based tests for chlamydia, and STD/HIV tests.

The Growing Evidence Base for Reproductive Health Services

Guidelines for reproductive health services issued by professional societies and organizations reflect advances in medical technology and increased understanding that various groups (such as those with low incomes and adolescents) have unique reproductive health and other health care needs. These guidelines are intended to disseminate current clinical and scientific advances. They are issued on a variety of topics by several organizations, most notably the American College of Obstetricians and Gynecologists. Other bodies issuing guidelines, policy statements, opinions, and statements regarding reproductive health services include the Society for Adolescent Medicine, the American Academy of Pediatrics, and WHO. Examples of guidelines that are relevant to family planning are listed in Box 2-1 . These guidelines represent the recommendations of experts in the field, and therefore should play an important role in shaping the delivery of family planning services, particularly to the extent that they have a sound evidence base.

Examples of Guidelines for Reproductive Health Care. American College of Obstetricians and Gynecologists 2008—Routine Human Immunodeficiency Virus Screening

Social and Cultural Factors

The many guidelines identified above reflect the recognition that effective family planning requires more than the existence of effective biomedical interventions. Family planning by nature requires close attention to social and cultural factors as well. Women and men may experience a number of sociocultural barriers to accessing family planning services, including distance to a family planning provider, difficulty in arranging transportation, limited days and hours of service operation, costs to receive services, long waiting times either to schedule an appointment or to be seen by a provider, poor quality of care, concerns about confidentiality, language barriers for those with limited English proficiency, lack of awareness of the availability of services, and perceived or real cost barriers (discussed further below) (Bertrand et al., 1995; Brindis et al., 2003).

Women in rural areas may have particular difficulty finding and obtaining family planning services (Frost et al., 2001). Some special populations, such as homeless women (Wenzel et al., 2001) and those who are incarcerated, may be especially likely to face access and cost barriers. Among teenagers, concern about confidentiality is the most significant barrier to obtaining family planning services (NRC, 2008). Additional barriers for adolescents may include community disapproval of their use of family planning, stigma related to obtaining contraceptives, lack of knowledge about the existence of publicly funded clinics, a perceived lack of affordable services, ambivalence, a history of sexual abuse, and fears of side effects (Frost and Kaeser, 1995; Brindis et al., 2003).

Medical barriers can also inhibit the use of family planning services. These barriers include service providers basing care decisions on outdated information or contraindications (IUDs, for example, are underutilized in the United States in part because of outdated information regarding the risks of this contraceptive method [Morgan, 2006]); process or scheduling impediments, such as physical exams that clients must undergo before receiving contraceptives; service provider qualifications or regulations that unnecessarily limit the types of personnel who can provide a service; provider bias toward a particular method or procedure; inappropriate management of side effects; and regulatory barriers (Bertrand et al., 1995).

Providing Culturally Appropriate Care

The increasing numbers of racial and ethnic minorities in the United States highlight the importance of providing culturally appropriate care to these populations. HHS’s Office of Minority Health has issued Standards for Culturally and Linguistically Appropriate Services (CLAS) in health care, which are directed primarily at health care organizations. Fourteen standards include culturally competent care, language access services, and organizational supports for cultural competence (see Box 2-2 ). Some of the standards are required for all recipients of federal funds (standards 4, 5, 6, and 7); others are recommended for adoption as mandates by federal, state, and national accrediting organizations (standards 1, 2, 3, 8, 9, 10, 11, 12, and 13); and one is suggested for health care organizations to adopt voluntarily (standard 14).

National Standards on Culturally and Linguistically Appropriate Services (CLAS). Health care organizations should ensure that patients/consumers receive from all staff members effective, understandable, and respectful care that is provided in a manner (more...)

Patient-centered care is also an important goal to improve the functioning of the health care system generally. It is particularly important for the delivery of care for underserved populations, including low-income individuals, the uninsured, immigrants, and racial and ethnic minorities (Silow-Carroll et al., 2006). Patient-centered care is defined as “providing care that is respectful of and responsive to individual patient preferences, needs, and values, and ensuring that patient values guide all clinical decisions” (IOM, 2001, p. 40).

Beach and colleagues (2006, p. vii) note that proponents of “the patient-centeredness movement, [as well as] pioneers of cultural competence recognized that disparities in health care quality may result not only from cultural and other barriers between patients and health care providers but also between entire communities and health care systems.” Patient-centeredness and cultural competence represent different aspects of quality. Patient-centeredness focuses on better individualized care through improved relationships with the health care system, while the aim of cultural competence is to increase equity and reduce disparities in health care by focusing on people of color or those otherwise disadvantaged. The merging of these movements would help support the current push to develop “patient-centered medical homes” (Bergeson and Dean, 2006; The Patient Center Primary Care Collaborative, 2008) and provide “inter-professional education for collaborative patient-centered practice” (Health Canada, 2008).

In 2000, Approximately 17 percent of the U.S. population (47 million people) spoke a language other than English at home; 7 percent of the population (21 million Americans) had limited English proficiency (Flores et al., 2005; U.S. Census Bureau, 2008d). Meeting the needs of those who are limited English proficient is a challenge for the health care system.

Adequate communication between patients and their providers is essential to high-quality medical care. Many clinics have staff, including clini cians, who can converse with clients in their own language. In addition, evidence suggests that access to trained interpreters helps improve patient–provider communication, patient satisfaction, and health outcomes, and that quality of care is compromised when interpreters are not provided for those who need them (Flores, 2005). HHS’s Guidance Regarding Title VI Prohibition Against National Origin Discrimination Affecting Limited English Proficient Persons requires agencies that receive federal funding from HHS to ensure that such clients have access to the services provided by the agency (HHS, 2004b). An additional challenge that may affect adequate communication is a patient’s basic literacy in his or her native language. The cost of making interpreter services available and hiring bilingual staff may be a challenge for agencies.

Serving the Undocumented Population

The Personal Responsibility and Work Opportunity Act of 1996 limits federal Medicaid coverage for noncitizens. Coverage is limited to legal immigrants; no coverage is provided for the undocumented. (Legal immigrants must have arrived in the United States before 1996 or have resided here for at least 5 years.) However, hospitals must provide emergency medical services to the undocumented, including labor and delivery services (Kullgren, 2003). There have been no large-scale studies of births to undocumented women. However, a recent study describes birth outcomes for undocumented women in the state of Colorado (Reed et al., 2005). It indicates that, compared with the general population, undocumented mothers were younger, less educated, and more likely to be unmarried. While their infants had better birth outcomes (lower rates of low birth weight and preterm birth) than infants in the general population, they were at greater risk for certain abnormalities (including infant anemia, birth injury, fetal alcohol syndrome, hyaline membrane disease, seizures, and requirements for assisted ventilation) (Reed et al., 2005). Undocumented mothers also experienced higher-risk pregnancies and more complications of labor.

Many in the health care community argue that government’s failure to pay for primary and preventive health care services for undocumented noncitizens under the federal Medicaid program places a heavy burden on institutions that care for immigrant populations and also threatens the public’s health (Kullgren, 2003). The limitations on care mean that many immigrant women have no prenatal care and thus receive their first pregnancy-related medical attention when they are about to deliver. Such an absence of prenatal care may result in avoidable problems with a woman’s pregnancy or delivery and the health of the woman or her child. There are efforts at the state level to provide reproductive health services to undocumented populations. For example, the state of California recognizes the value of family planning care for this population and its cost-effectiveness, and uses state dollars to support this care when the federal government does not reimburse for these services under the state’s 1115 waiver.

Kullgren (2003) argues that this restriction of health services jeopardizes legal immigrants’ and citizens’ access to care by making it necessary to review immigration documents, thereby increasing administrative costs and reducing the efficiency-of-care provision. Moreover, failing to cover preventive care for the undocumented while requiring hospitals to provide them with emergency care, which is typically more expensive, prevents resources from being used in the most cost-effective manner. Finally, limiting access to care undermines efforts to control the spread of disease among the general population and compromises the ethical obligations of clinicians.

Finding 2-4. Providing the many effective methods of birth control now available requires careful attention to the complex social and cultural factors that affect access and utilization.

  • FINANCING OF FAMILY PLANNING

Financing for reproductive health services comes from a variety of sources. As noted earlier, the proportion of public funds for family planning contributed by Title X has decreased over the last several decades. In 1980, Title X was the source of 44 percent ($162 million) of all public dollars spent for contraceptive services and supplies (AGI, 2000); by 2006, Title X accounted for just 12 percent ($215.3 million) of public funding (Sonfield et al., 2008a). Medicaid expenditures on family planning followed the opposite trajectory, accounting for 20 percent ($70 million) of total funding in 1980 (Gold et al., 2007) but increasing to 71 percent ($1.3 billion) by 2006 (Sonfield et al., 2008a).

In large measure, the growth of Medicaid’s role in family planning has been driven by state-initiated expansions of these services. To date, 27 states have sought and received permission from the Centers for Medicare and Medicaid Services, the federal agency that administers Medicaid, to expand eligibility under the program specifically for family planning (Guttmacher Institute, 2008a). While the expansion efforts in six states are limited and extend eligibility only to individuals who are otherwise losing Medicaid coverage, efforts in the remaining 20 states extend eligibility for family planning based solely on income, regardless of whether the individual has ever been enrolled in Medicaid. Most of these latter states set the income eligibility ceiling for Medicaid-covered family planning services at the same level used to determine eligibility for pregnancy-related care, generally at or near 200 percent of the federal poverty level—well above the usual state-set income ceilings (The Henry J. Kaiser Family Foundation, 2008).

State efforts to expand eligibility for family planning under Medicaid have infused new funding into the system. Two-thirds of the growth in family planning spending nationwide from 1994 to 2006 occurred in states that initiated broadly based Medicaid family planning expansions during that period (Sonfield et al., 2008a). As a result, those states have twice the resources per woman in need of programs in other states. 4 Between 1994 and 2001, family planning clinics in states with income-based waivers increased the number of clients served and also increased by one-quarter the proportion of women who received needed family planning care, while clinics in states without waivers experienced no increase at all (Frost et al., 2004). Although the expansion of Medicaid has infused new funds into family planning, tremendous unmet need remains. In 2005, while 12 percent of women (7.4 million) aged 15–44 were enrolled in Medicaid, 20.8 percent (12.9 million) remained uninsured (Guttmacher Institute, 2007). Title X offers critical services not offered under other insurance programs (see Chapter 3 ).

Some of the unmet need for family planning services may be attributable to increasing gaps in health insurance coverage. The increased cost of insurance has been affected by several factors, including technological advances in medicine, pharmaceutical development, and the aging population (Heffler et al., 2001). The growing cost of health insurance in turn has led to an increase in the number of people who are uninsured. In 1987, 12.9 percent of Americans lacked health insurance; that figure rose to 15.3 percent in 2007 (see Figure 2-19 ) (DeNavas-Walt et al., 2008). Among women aged 15–44, 20.8 percent were uninsured in 2005 (Guttmacher Institute, 2007).

FIGURE 2-19

Number of uninsured and uninsured rate, 1987–2007. a Implementation of Census 2000–based population controls occurred for the 2000Annual Social and Economic Supplement, which collected data for 1999. These estimates also reflect the results (more...)

A high proportion of the uninsured are young: 18 percent are below age 18 and 58 percent below age 34 (U.S. Census Bureau, 2008e). Adults aged 18–34 are disproportionately uninsured relative to their representation in the overall population. This is most likely because younger adults have lower incomes than older adults and are more likely to have jobs without health insurance benefits. Figure 2-20 presents the percentages of the uninsured and of the total population by age group among those below 100 percent of the federal poverty level. While children and the elderly have among the highest rates of poverty, they have the lowest rates of uninsurance because of targeted government programs, such as the State Children’s Health Insurance Program and Medicare. Thus the population most in need of family planning is least likely to have health insurance coverage.

FIGURE 2-20

Percentage of uninsured and total U.S. population below 100 percent of the federal poverty level (FPL), by age, 2007. SOURCE: U.S. Census Bureau, 2008e.

Those with full-time, year-round employment and an annual income greater than 200 percent of the federal poverty level are most likely to have health insurance (Custer and Ketsche, 2000). However, health insurance coverage has become less stable even for those who are employed (National Coalition on Health Care, 2009). Rapidly rising health insurance premiums have prevented many, particularly small, businesses from offering coverage to their employees (DeNavas-Walt et al., 2008). The increase in the number of uninsured has occurred to a large degree among working adults. The percentage of working adults ages 18 to 64 without health coverage was 20.2 percent in 2006 (DeNavas-Walt et al., 2008).

In addition to the population of uninsured Americans, millions of adults are underinsured: they have insurance, but their medical costs are high relative to their income. Being underinsured is defined as either (1) having out-of-pocket medical expenses for care amounting to 10 percent of income or more; (2) for low-income adults (below 200 percent of the federal poverty level), having medical expenses amounting to at least 5 percent of income; or (3) having deductibles equal to or exceeding 5 percent of income (Schoen et al., 2008). Schoen and colleagues estimate that in 2007, approximately 25 million people aged 19–64 were underinsured—a 60 percent increase since 2003. In total, the authors report that 42 percent of adults under age 65 are uninsured or underinsured.

Even those who have employer-based insurance may find that basic family planning services are not a covered benefit. In 2003, 7 percent of health plans did not cover an annual obstetrical and gynecologic visit, 12 percent did not cover oral contraceptives, 13 percent did not provide payment for sterilization, and 28 percent did not cover all major types of contraceptives. Health maintenance organizations were more likely to cover contraceptives and sterilization than were preferred provider organizations or point-of-service plans (Klerman, 2006). This situation has improved in recent years, and by 2008, 24 states required insurers that cover prescription drugs to also provide coverage for any FDA-approved contraceptive (National Conference of State Legislatures, 2009); however, it is important to recognize that state mandates do not apply to self-insured plans. Women find it particularly difficult to obtain coverage in the individual insurance market. They are frequently charged higher premiums than men and have difficulty finding affordable coverage for maternity care. They can also have difficulty finding affordable coverage for prescription drugs, such as contraceptives.

  • CONCLUSIONS

The following conclusions emerged from the committee’s review of the literature on the role and history of family planning in the United States:

The provision of family planning services has important ben efits for the health and well-being of individuals, families, communi ties, and the nation as a whole.

Planning for families—helping people have children when they want to and avoid conception when they do not—is a critical social and public health goal.

The federal government has a responsibility to support the attainment of this goal. There is an ongoing need for public invest ment in family planning services, particularly for those who are low income or experience other barriers to care.

It should be noted that, despite the clear contributions of family planning to important public health goals, the public varies widely in its attitudes toward family planning and contraception. A large majority (86 percent) of the American public supports family planning services as part of health care for low-income women (where family planning is defined to exclude abortion) (Adamson et al., 2000). However, not everyone wants or believes in birth control. Some believe it should be available for married couples but not for unmarried people or teenagers for fear of encouraging sexual activity. Some religions, notably the Roman Catholic Church, oppose certain methods of contraception, although these strictures often are not followed by their congregants. Recent years have also seen vigorous political debates about emergency contraception (Plan B ® ), the rights of providers to refuse to offer care that violates their beliefs, and whether teens have a right to access reproductive health care without parental involvement.

By law, Title X funds cannot be used in programs that provide abortion services.

The total fertility rate reflects the total number of live births per 1,000 women aged 15–44.

Unpublished Guttmacher Institute tabulations.

  • Cite this Page Institute of Medicine (US) Committee on a Comprehensive Review of the HHS Office of Family Planning Title X Program; Stith Butler A, Wright Clayton E, editors. A Review of the HHS Family Planning Program: Mission, Management, and Measurement of Results. Washington (DC): National Academies Press (US); 2009. 2, Overview of Family Planning in the United States.
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ESSAYS ON FAMILY PLANNING POLICIES

by

Fei Wang




A Dissertation Presented to the  
FACULTY OF THE USC GRADUATE SCHOOL  
UNIVERSITY OF SOUTHERN CALIFORNIA  
In Partial Fulfillment of the Requirements for the Degree  
DOCTOR OF PHILOSOPHY  
(ECONOMICS)
August 2014

Copyright 2014 Fei Wang

1
Acknowledgements
The most correct decision that I made six years ago is to have Professor John Strauss as
my advisor. He is a big name in Development Economics, and his mentoring is as
incomparable as his academic achievements. He has been giving uncountable advice,
from how to think, to how to word. I am going to start my academic career soon, and
will also have my own students. I think the best way of saying thanks to John is to
become someone like him, an accomplished scholar and a conscientious mentor.  
I also greatly appreciate the advice of many professors, including but not limited
to Caroline Betts, Eileen Crimmins, Richard Easterlin, Cheng Hsiao, Adriana Lleras-
Muney, Roger Moon, Jeff Nugent, Anant Nyshadham, Geert Ridder, Guofu Tan,
Guillaume Vandenbroucke, and Simon Wilkie.
Department of Economics is a warm family. Without Young Miller and Morgan
Ponder, my life would be a mess. I enjoy fighting on with Will Kwon and Jaime Meza,
the other two graduating students of John. I am also excited to collaborate with Robson
Morgan, Brijesh Pinto, and Malgorzata Switek on academic projects. Knowing all my
friends in the department, too many to be listed, is one of the most amazing experiences
in my life.  
This paper is particularly for my parents. They were exposed to the Great Famine
as young kids, to the Cultural Revolution as teenagers, and to the One-Child Policy as
parents. Without them, I myself would never have chances to make the Quantity-
Quality Trade-off Hypothesis a reality.  

2
Table of Contents

Acknowledgements ........................................................................................................................ 1
List of Figures ................................................................................................................................... 3
List of Tables ..................................................................................................................................... 4
Abstract .............................................................................................................................................. 5
Chapter 1 Introduction ................................................................................................................ 6
Chapter 2 History of China's Family Planning Policies ................................................... 12
2.1 Period 0: Without family planning policies (1949-1962) .............................................. 15
2.2 Period 1: Mild and narrowly implemented family planning policy (1963-1970) 17
2.3 Period 2: Strong and widely implemented family planning policy (1971-1979) . 18
2.4 Period 3: One-child policy (since 1980) .............................................................................. 20
Chapter 3 Static Analysis ........................................................................................................... 23
3.1 Review of measures of China’s family planning policies .......................................... 24
3.2 Data ................................................................................................................................................ 29
3.3 Empirical strategy and policy measurement .................................................................... 33
3.4 Empirical results ........................................................................................................................ 40
3.4.1 Estimation results .............................................................................................................................. 40
3.4.2 Partial effects of family planning policies on the number of births .......................... 42
3.4.3 Simulated over-cohort fertility under several scenarios of policy history ............ 45
3.4.4 Policy effects by schooling and gender of the first birth ................................................ 49
3.4.5 Sensitivity of results to different policy measures ............................................................ 53
3.5 Conclusion ................................................................................................................................... 63
Chapter 4 Dynamic Analysis .................................................................................................... 64
4.1 Literature review on the application of duration analysis.......................................... 65
4.2 Data ................................................................................................................................................ 67
4.3 Duration model and policy measurement ........................................................................ 70
4.3.1 Duration model .................................................................................................................................. 70
4.3.2 Policy measurement ......................................................................................................................... 77
4.3.3 Other covariates ................................................................................................................................. 78
4.4 Empirical results ........................................................................................................................ 80
4.4.1 Estimation results .............................................................................................................................. 80
4.4.2 Policy effects on the probability of having a certain number of births ................... 84
4.4.3 Heterogeneous policy effects by urban-rural and ethnicity ......................................... 88
4.4.4 Policy effects on fertility decline by cohort ........................................................................... 90
4.4.5 Model without frailty .................................................................................................................... 100
4.5 Conclusion ................................................................................................................................ 101
Chapter 5 Conclusion ............................................................................................................... 102
Reference ...................................................................................................................................... 104
Appendix A ................................................................................................................................... 110
Appendix B ................................................................................................................................... 112




3
List of Figures

Figure 1.1 Total fertility rate of China by year .................................................................... 7
Figure 2.1 Overall, urban, and rural total fertility rates of China by year .................... 14
Figure 2.2 Overall, Han, and non-Han total fertility rates of China by year ................ 15
Figure 3.1 Number of births by cohort of mothers, CHNS versus census ................... 33
Figure 3.2 Probability of conception by age ...................................................................... 37
Figure 3.3 Intensity of exposure to period 1, 2 and 3 policies by cohort of women .... 38
Figure 3.4 Number of births by cohort of women ............................................................ 46
Figure 3.5 Predicted number of births under different policy histories ....................... 47
Figure 3.6 Predicted number of births with actual schooling and no schooling ......... 49
Figure 3.7 Probability of conception by age, separately plotted for urban Han women,
rural Han women, urban non-Han women, and rural non-Han women ............. 54
Figure 3.8 Probability of conception by age, separately plotted for cohorts 1950 or older,
cohorts 1951-60, cohorts 1961-70, and cohorts 1971 or younger ............................ 55
Figure 4.1 Distribution of durations between two births ................................................ 74
Figure 4.2 Comparison between predicted probabilities and actual fractions, by cohort
of women ........................................................................................................................ 86
Figure 4.3 Predicted probability of childlessness under different policy histories ..... 92
Figure 4.4 Predicted probability of having exactly 1 birth under different policy histories
.......................................................................................................................................... 93
Figure 4.5 Predicted probability of having exactly 2 births under different policy
histories .......................................................................................................................... 94
Figure 4.6 Predicted probability of having exactly 3 births under different policy
histories .......................................................................................................................... 95
Figure 4.7 Predicted probability of having 4 or more births under different policy
histories .......................................................................................................................... 96
Figure 4.8 Actual number of births, and the lower and upper bounds of predicted
number of births, by cohort of women ...................................................................... 98
Figure 4.9 Predicted number of births under different policy histories ....................... 99





4
List of Tables

Table 2.1 Secular and cross-sectional variations of birth quota ..................................... 22
Table 3.1 Descriptive statistics of selected variables for static analysis ........................ 31
Table 3.2 OLS regressions of number of births on determinants ................................... 40
Table 3.3 Effect of each policy on the number of births of each group of women ...... 43
Table 3.4 OLS regressions of number of births on determinants, by women’s schooling
and gender of the first birth ................................................................................................. 50
Table 3.5 Effect of each policy on the number of births of each group of women, by
women’s schooling and gender of the first birth ............................................................. 52
Table 3.6 OLS regressions of number of births on determinants, using different
probabilities of conception to construct policy measures ............................................... 56
Table 3.7 Effect of each policy on the number of births of each group of women, by the
probability of conception used to construct policy measures ........................................ 58
Table 3.8 OLS regressions of number of births on determinants, using incomplete
measures or measures lacking heterogeneity ................................................................... 60
Table 3.9 Effect of each policy on the number of births of each group of women, using
incomplete policy measures or measures lacking heterogeneity .................................. 62
Table 4.1 Number and fraction of women with certain number of birth spells .......... 68
Table 4.2 Descriptive statistics of selected variables for spells 1 to 4 ............................ 69
Table 4.3 Estimation results of the duration model ......................................................... 80
Table 4.4 Specification tests: 3-point frailty, 2-point frailty, or no fraity? ..................... 83
Table 4.5 Comparison between predicted probabilities and actual fractions, full and
subsamples ............................................................................................................................. 85
Table 4.6 Policy effects on the probability of having a certain number of births ........ 88
Table 4.7 Policy effects on the probability of having a certain number of births, by
urban-rural and ethnicity ..................................................................................................... 89
Table 4.8 Policy effects on the probability of having a certain number of births, models
without frailty versus with 3-point frailty....................................................................... 100



5
Abstract
This paper estimates the effect of family planning policies on fertility in China. Both
static and dynamic analyses are conducted. The static analysis estimates the policy
effects on the number of births that a woman has ever had, using a cross-sectional
sample of ever-married women with their birth records, from the China Health and
Nutrition Survey (CHNS). The dynamic analysis explores the relationship between
family planning policies and the likelihood of childbearing over time, using a panel
sample of CHNS that records women’s births in each year since age 15. The dynamic
analysis applies a multiple-spell mixed-proportional hazard model where the
unobserved individual heterogeneity is non-parametrically estimated, as suggested by
Heckman and Singer (1984). Both static and dynamic analyses show that, family
planning policies could explain about half of the fertility decline between cohorts 1943
and 1972 in the sample. Both analyses also improve policy measures adopted by
previous studies, and make them reflect more complete policy history, and capture
more heterogeneity of policy exposure. Particularly, the static analysis shows that,
different policy measures could lead to substantially different results, which highlights
the importance of measuring family planning policies appropriately.  
 








6
Chapter 1  Introduction
After World War II, family planning programs, aiming to lower birth rates, started to
prevail in the developing world, triggered by popular beliefs that rapid population
growth could obstruct the economic development of developing countries (Bongaarts,
Mauldin, and Phillips, 1990; Lapham and Mauldin, 1985; Szreter, 1993). Soon
afterwards, fertility rates substantially dropped in many developing countries during
the 1970s and 1980s, particularly in Asia and Latin America (Bongaarts, Mauldin, and
Phillips, 1990; Lapham and Mauldin, 1985). The concurrence of family planning
programs and demographic transitions has spawned a large number of studies that
attempted to explore their relations.
Such coexistence also emerges in China, the most populous country and the
largest developing economy. China initiated family planning policies in 1963. The
policies evolve over three periods, from a mildly and narrowly enforced policy in the
1960s, to a widely and strongly implemented policy in the 1970s, and eventually
transformed to the harshest one-child policy in 1980. In parallel, Figure 1.1 illustrates
China’s total fertility rates from 1949 to 2001. During the 1950s and 1960s, fertility rates
stayed at high levels, except for a dip in 1959-1961 caused by a great famine. Since 1970,
fertility rates have dived from 6 to nearly 2 within just 10 years, and continued to
decline after 1980.
1


                                               
1
The most recent officially released total fertility rate, 1.18 in 2010, failed to convince many scholars who believed the
true figure should have been higher. Nevertheless, it has been a consensus that China’s current fertility rate is below
the replacement level.

7
Figure 1.1 Total fertility rate of China by year
 
Note: Data originally came from national surveys conducted by China’s statistical authorities, and were
collected by Yang (2004, pp. 264– 265).  

This paper explores to what extent China’s family planning policies could
explain its fertility transition. Previous studies fail to reach an agreement on the issue.
Many papers conclude that family planning policies explained a sizable fraction of
China’s fertility decline. However, other studies argue that the policy effects had been
overstated.
The disagreement partly results from different ways of measuring family
planning policies. Furthermore, the policy measures generally have shortcomings.
Previous studies might set up policy measures based on incomplete policy history, or
apply endogenous measures to estimation. Moreover, their measures in general ignore

8
people’s heterogeneous exposure to policies. This paper tries to unify and improve
previous measures. First, this paper creates policy measures by taking advantage of
more complete policy variations over time and across people. Second, policy measures
will be mainly constructed on mothers’ birth cohort, which is exogenous. Third, this
paper heterogenizes policy measures by the length of mothers’ policy exposure and the
age at which they were exposed to policies. Such heterogeneity is characterized based
on women’s probability of conception by age. Estimation results are robust to the use of
different probabilities of conception.
Using the improved policy measures, this paper first estimates policy effects on
the total number of births that a woman has ever had. This static analysis uses a cross-
sectional sample of ever-married women from the China Health and Nutrition Survey
(CHNS). The sample records the entire birth history of a woman up to the year when
she was surveyed, as well as other demographic and socioeconomic variables.  
Regressing the number of births on family planning policies and other
determinants, the static analysis draws several conclusions. First, with actual policy
exposure, the predicted number of births dropped by about 2 from cohort 1943 to
cohort 1972. While had there been no family planning policies, the number of births
would have declined by around 1 for the same cohort span. Therefore, family planning
policies could explain about half of the fertility decrease between cohorts 1943 and 1972
in the sample. As a comparison, women’s schooling could explain about 10% of the
fertility decline for the range of cohorts.  Second, policy effects tend to be smaller for
more-educated women or a woman whose first birth is a son, than less-educated

9
women or a woman whose first birth is a daughter, probably because the former desire
fewer births than the latter, and thus receive lighter pressure from the policies. Third,
given the data and empirical specifications, using defective policy measures that are
adopted by previous studies may generate substantially different policy effects.
Because such static analysis is incapable to capture the dynamic process of
childbearing and other factors, the paper continues to explore the policy effect on
fertility with dynamic analysis, and adjusts the improved policy measures for the new
framework.  
The dynamic analysis uses a panel sample, which is constructed from the cross-
sectional sample for the static analysis, and records women’s births and other
characteristics in each year since age 15.  
The dynamic analysis applies a multiple spell duration model to evaluate policy
effects for the first four birth spells. The fertility outcome is a dummy variable
indicating whether a woman had a birth in some year. The duration model expresses
the probability of having a birth in some year as a non-linear function of observed
characteristics and unobserved individual heterogeneity. The observed variables
include family planning policies and other demographic and socio-economic factors
that have been considered to be related to fertility. Their coefficients are estimated
parametrically and are assumed to change over birth spells. The unobserved individual
heterogeneity is assumed to follow a mass-point distribution, and is estimated non-
parametrically. Specifically, the number of mass points and their locations and

10
probabilities are all estimated from the data, as suggested by Heckman and Singer
(1984).
Based on the estimated model, this paper derives the probability of childlessness,
having exactly 1, 2, 3, and 4 or more births. The predicted probabilities match well with
actual fractions in the data. By turning on and off the policy period by period, this paper
further calculates the probability difference with and without some period of policy.
Being exposed to the one-child policy reduces the probability of having exactly 2, 3, and
4 or more births by 12.4%, 72.1%, and 37.1%, respectively, and correspondingly
increases the probability of childlessness and having exactly 1 birth by 105.5% and
187.6%. Earlier periods of policy present similar patterns, but smaller effects. The
dynamic analysis further examines the policy effects by residential location and
ethnicity. Generally, the policy has stronger effects for urban women and ethnic
majorities than for rural women and minorities. These results are consistent with the
policy history.
Moreover, the dynamic analysis simulates fertility rates by birth cohort of
women under different policy histories. Conclusions are similar to the static analysis.
Family planning policies could explain about 40%-50% of the fertility decline between
cohort 1943 and 1972 in the sample. However, without any policy, fertility would still
have demonstrated a downward trend over cohorts.  
In addition to family planning policies, other individual characteristics have
shown noticeable impact. Better-educated women tend to substantially decrease their
likelihood of childbearing. If a woman’s first birth is a son, she would be much less

11
likely to have a large number of births, which manifests the strong son preference in
China.
The whole paper is arranged as follows. Chapter 2 introduces the history of
China’s family planning policies. Chapter 3 conducts the static analysis. Chapter 4
continues with the dynamic analysis. Chapter 5 concludes.


















12
Chapter 2  History of China's Family Planning Policies
China's Population and Family Planning Law
2
indicates:
The State adopts a comprehensive measure to control the size and raise the general
quality of the population. The State relies on publicity and education, advances in science and
technology, multi-purpose services and the establishment and improvement of the reward and
social security systems in carrying out the population and family planning programs.
The comprehensive measure, plainly speaking, chiefly comprises propaganda,
service and birth quota. Propaganda endeavors to convince the public that family
planning benefits the nation’s development and their own welfare. Local clinics offer
free contraceptives and low-priced family planning medical service. Being an exclusive
feature, birth quota limits the number of births per married couple. Those who comply
with the birth quota are rewarded, while violators are penalized.
According to the stringency and enforcement of the policy measures, China's
family planning policies can be segmented into four periods: the period without policies
(1949-1962), the period with mild and narrowly implemented policies (1963-1970), the
period with strong and widely enforced policies (1971-1979), and the period with the
harshest one-child policy (since 1980).  
In each period, policies are tougher for urban people than for rural people,
because the ideologies of big families and son preference have been more deep-rooted
                                               
2
http://english.gov.cn/laws/2005-10/11/content_75954.htm. This paper studies family planning policies in the
People's Republic of China.

13
in rural areas. Moreover, policies are stricter for Han people
3
than for non-Han people
as family planning is less urgent for the latter whose fraction in the population is small.
The rest of this chapter introduces details for the policy evolution over periods,
4

and the urban-rural and ethnic policy differences, putting emphasis on birth quota.
Figure 2.1 and Figure 2.2 will further help visualize the policy history. Both figures
incorporate the overall total fertility rate (TFR) of China by calendar year. Figure 2.1
also shows urban and rural TFRs, and Figure 2.2 adds TFRs for Han and non-Han
people. Vertical dotted lines segment the policy periods.
5
 











                                               
3
Han is the major ethnicity of China. The 2010 Census of China indicated that 91.51% were Han Chinese
(http://en.wikipedia.org/wiki/Sixth_National_Population_Census_of_the_People's_Republic_of_China).
4
For convenience, number the four periods with 0, 1, 2 and 3.
5
The two figures will show the consistency between TFRs and policy history, rather than prove the causal effects of
policies on TFRs.

14
Figure 2.1 Overall, urban, and rural total fertility rates of China by year

Note: The overall total fertility rate is cited from Yang (2004, pp. 264-265). The urban and rural total
fertility rates are cited from Yang (2004, pp. 134, 135 and 139). Data originally come from various national
surveys conducted by China's statistical authorities. The left, middle and right dotted lines mark the years
of 1963, 1971 and 1980, and segment the whole history into four periods.









15
Figure 2.2 Overall, Han, and non-Han total fertility rates of China by year

Note: The overall total fertility rate is cited from Yang (2004, pp. 264-265). The Han (ethnic majority) and
non-Han (ethnic minority) total fertility rates are cited from Yang (2004, pp. 145 and 150). Data originally
come from various national surveys conducted by China's statistical authorities. The left and right dotted
lines mark the years of 1971 and 1980, the starting years of the period 2 and 3 family planning policies.

2.1 Period 0: Without family planning policies (1949-1962)
On the eve of the foundation of the People's Republic of China, the supreme leader Mao
Zedong publicly argued that China preferred a large population,
6
which also fit China's
traditional ideology of family size, Duo Zi Duo Fu (more children, more happiness).
Moreover, China was deeply influenced by a birth-encouraging policy of the Soviet
                                               
6
Mao said: “A large population is preferred in China. No matter how large it is, we can always handle it with
production…Human being is the most valuable resource of the world…Human can create any miracle.” (Yang, 2004,
pp. 43)

16
Union.
7
Consequently, in 1949-1953, China curbed measures of birth control and
financially subsidized large families.
8

Challenged by rapid population growth, in 1954, China began to terminate or
relax certain restrictions on birth control.
9
Meanwhile, a few public intellectuals, for
instance, Shao Lizi and Ma Yinchu, publicly advocated family planning.
10
Thereafter,
the knowledge of birth control spread through public media.
11
However, family
planning policies were not officially conceived.
In 1958, with the onset of the Great Leap Forward campaign that aimed to use
China's vast population to rapidly transform the country from an agrarian economy
into a modern communist society,
12
endorsing family planning was politically
incorrect.
13
The campaign was followed by a great famine (1959-1962), which caused a
dramatic TFR decline, from 5.679 in 1958 to 3.287 in 1961.
14
Under such circumstances,
family planning was rarely discussed. When the famine ended, women started to make
up fertility and the TFR rose back to 6.023 in 1962 and even shot up to 7.502 in 1963.
15

Figure 2.1 and Figure 2.2 illustrate this history. Figure 2.1 further shows that urban and
                                               
7
A mother bearing and raising a large family in the Soviet Union would be awarded an honorary title “Mother
Heroine” (Yang, 2004, pp. 44). Also see http://en.wikipedia.org/wiki/Mother_Heroine.
8
China strongly restricted sterilization and abortion, and strictly controlled the production and sale of contraceptives
which were prohibited from import (Yang, 2004, pp. 44-45).
9
In 1954, China removed restrictions on contraception and the sale of contraceptives, and relaxed restrictions on
abortion. However, sterilization was still under strong control (Yang, 2004, pp. 47-48).
10
Shao and Ma both supported contraception and late marriage, but disagreed on abortion (Yang, 2004, pp. 48-50,
52).
11
The knowledge of birth control only spread to some cities of some provinces (Yang, 2004, pp. 50, 53, 54, 58).
12
http://en.wikipedia.org/wiki/Great_Leap_Forward.
13
Yang (2004, pp. 59).
14
Yang (2004, pp. 61).
15
Yang (2004, pp. 61-62).

17
rural TFRs co-moved in the period, the urban TFR being slightly lower. Data on Han
and non-Han TFRs for this period were not found.

2.2 Period 1: Mild and narrowly implemented family planning policy (1963-1970)
In 1962, the Chinese government issued an instruction about the implementation of
family planning on December 18
th
, 1962, known as the No. [62] 698 document, which
marked the start of China's family planning policies.
16

The period 1 policy set a population growth target,
17
approved late marriage,
18

established family planning institutions,
19
and disseminated family planning
knowledge and technology.
20
Specific policies varied by province. For instance,
Shandong's policy could be summarized as “one (child) is not few, two are just right,
three are too many”. Shanghai's policy advocated that a married couple should not
have more than three children, birth spacing should be at least four years, and a
woman's age of having the first birth should exceed 26.
21
This paper assumes the birth
quota in period 1 to be 3. Although bearing more than three children was not
mandatorily prohibited, having a large family would result in political or social
pressure because the period 1 policy was promoted primarily through effective political
                                               
16
Yang (2010, pp. 27). Because the document was released in the end of 1962, I assume it came into effect from 1963.
17
The annual population growth rate targets were 2%, 1.5%, and 1% for the Recovery period (1963-1965), the third
Five-year plan (1966-1970), and the fourth Five-year plan (1971-1975), respectively (Yang, 2004, pp. 62).  
18
The Ministry of Health proposed that, the marriage age for male and female should be 28 and 25, respectively. In
practice, age of late marriage varied by province (Yang, 2004, pp. 62, 68).
19
The national family planning institution was established in 1964 and local agencies have been founded
successively since 1963 (Yang, 2004, pp. 65).
20
Contraceptive knowledge and tools were available in local clinics. Restrictions on abortion and sterilization were
basically removed (Yang, 2004, pp. 65-67).
21
Yang (2004, pp. 68).

18
or social movements. Economic incentives were also established. For example, families
abiding by family planning policies would be subsidized in wages, housing and
commodities.
22

The period 1 policy was implemented for urban Han people only.
23
Figure 2.1 is
consistent with this history. On one hand, urban TFR started to decline in period 1;
while on the other hand, rural TFR remained high. As 80% of the population was in
rural areas,
24
the overall TFR stayed at high levels in this period.  
The Cultural Revolution, launched in 1966, paralyzed family planning
institutions and disrupted the implementation of family planning policies. However,
the policy was not abolished and the urban TFR remained at low levels.
25


2.3 Period 2: Strong and widely implemented family planning policy (1971-1979)
Concerned about the negative impact of the Cultural Revolution, the Chinese
government issued a report on family planning in 1971, known as the No. [71] 51
document, to restate the importance of family planning. The report signified that family
planning policies recovered from the Cultural Revolution and stepped into a new
stage.
26

                                               
22
Yang (2004, pp. 64, 74).
23
Urban Han people living in the five autonomous regions were not exposed to family planning policies until the
beginning of 1970s (Yang, 2004, pp. 144-145). The five autonomous regions, Xinjiang, Inner Mongolia, Tibet, Ningxia,
and Guangxi, are provincial administrative areas where non-Han people agglomerate. See
http://en.wikipedia.org/wiki/Autonomous_regions_of_China for more details.
24
Yang (2004, pp. 69).
25
The urban TFR kept falling in this period expect in 1968. Moreover, family planning institutions started to restore
in 1969 (Yang, 2004, pp. 75).
26
Yang (2004, pp. 73).

19
Like period 1, the period 2 policy also comprised a population growth target and
contraceptive support.
27
Moreover, the policy became nationally uniform, known as
“late, long, few”. “Late” means late marriage and childbearing. The recommended
minimum age of marriage was 25 for men and 23 for women; women were suggested
having births after 24. “Long” means the birth spacing should be at least three years.
“Few” means a married couple could at most have two children.
28

The period 2 policy was stronger than the period 1. First, a married couple could at
most have two children in period 2, while three children were allowed, though
discouraged, in period 1. Second, the enforcement of period 2 policy was stricter. Mao
Zedong, the supreme leader, backed family planning policies in period 2,
29
and thus,
greatly bolstered its enforcement. The mode of agricultural production in this period
also discouraged large families.  Farming jobs were centrally and equally assigned to
adult peasants, and they were not able to flexibly work more and earn more, in order to
raise more children.
30

In 1971, the policy began to spread to the urban Han people living in the five
autonomous regions
31
and to all rural Han people.
32
However, population growth
targets differed between urban and rural areas. The urban population annual growth
                                               
27
In 1971, the policy proposed that urban and rural population growth rates should reach down to 1% and 1.5% by
1975 (Yang, 2004, pp. 72). In 1978, the policy proposed that the national population growth rate should go below 1%
by 1981 (Yang, 2004, pp. 74). From 1974 on, 14 contraceptive pills or tools were supplied without charge (Yang, 2004,
pp. 76).  
28
The policy was first implemented in some parts of China, and then was extended to the whole nation in 1973
(Yang, 2004, 73).
29
For example, in 1974, Mao said: “We must control the population.” (Yang, 2004, pp. 73)
30
Yang (2004, pp. 80, 135).
31
Yang (2004, pp. 144, 145).
32
Yang (2004, pp. 77-79).

20
rate was set to be 1% and the rural growth rate was 1.5%.
33
Figure 2.1 and Figure 2.2
have shown consistent facts. In Figure 2.1, the rural TFR started to drop in 1971, but was
higher than the urban TFR. Decreasing urban and rural TFRs also pulled down the
overall TFR. In Figure 2.2, the Han TFR dropped after 1971 and the TFR gap between
Han and non-Han people widened.
34
The urban or rural non-Han people who were
living outside the five autonomous regions were also affected by the period 2 policy.  

2.4 Period 3: One-child policy (since 1980)
As a natural evolution of the period 2 policy, the one-child policy was conceived in 1979
and was officially launched in 1980.
35
The one-child policy, as its name suggests, allows
a married couple to have only one child, particularly designed for Han families. This
policy is stricter than previous versions.
The strictness of the one-child policy is also enhanced by its enforcement.
Previous policies were mainly implemented with political, social, or administrative
measures. In 1978, family planning policies, for the first time, appeared in the
Constitution and more details were added to the 1982 amended Constitution. Since late
1980s, the central and local governments have successively legislated family planning.
36

                                               
33
Yang (2004, pp. 72).
34
The non-Han TFR also declined, even though non-Han people were not officially constrained by family planning
policies in period 2 (Yang, 2004, pp. 143-145), implying externalities of family planning policies or the impact of other
factors.
35
In September 1980, the CPC central committee published an open letter to expound the necessity of the one-child
policy. This event was usually considered as the starting point of the one-child policy (Yang, 2004, pp. 86).
36
Yang (2004, pp. 161).

21
Legal measures, such as monetary penalties and subsidies,
37
have ensured the effective
enforcement of the one-child policy.
In early 1980s, the one-child policy was successfully implemented for urban Han
families, but received large resistance from rural Han people.
38
Subsequently, in the
mid-1980s, the one-child policy was relaxed for rural Han families and they were
allowed to have a second child if certain conditions were met. For example, they could
have the second birth when the first child was a daughter.
39
Figure 2.1 shows that both
urban and rural TFRs stayed at low levels, but with a gap.
In 1982, the policy started to cover most non-Han people, but in more relaxed
forms. In general, an urban non-Han family could conditionally have two children and
a rural non-Han couple might be allowed to have three or even more children. For the
ethnic groups with small population sizes, the policy is even further relaxed.
40
In Figure
2.2, the Han TFR remained low and the non-Han TFR substantially dropped in 1980-
1989. The Han and non-Han TFR gap, though smaller, still exist.
The secular and cross-sectional variations of the birth quota are summarized in
Table 2.1.  


                                               
37
Families with only one child would receive the one-child subsidy. While families which illegally had more births
would have to pay fines. Fines are multiple times of local annual income, but standards are different across provinces.
For example, Beijing women who illegally have the second birth would have to pay fines that are three to ten times of
the local average annual income. McElroy and Yang (2000), and Li and Zhang (2009) discuss relevant topics.
38
Yang (2004, pp. 86).
39
Yang (2004, pp. 87). This case reflects strong son preference in rural areas.
40
Yang (2004, pp. 146-148).

22
Table 2.1 Secular and cross-sectional variations of birth quota
Period 1 (1963-70) Period 2 (1971-79) Period 3 (since 1980)
Urban Han
Mild policy allowed
but discouraged three
children*

Strong policy allowed
but discouraged two
children
One-child policy
allows only one child
Rural Han No restriction
Milder policy than the
urban Han version
One-child policy
conditionally allows
two children
Urban non-Han No restriction** No restriction**
Specific policy
conditionally allows
two children
Rural non-Han No restriction No restriction**
Specific policy
conditionally allows
three or even more
children
Note: * The urban Han people living in the five autonomous regions were not exposed to family planning
policies in period 1.
** Part of the non-Han people might be affected by family planning policies, particularly when they were
living outside the five autonomous regions.

Over time, the birth quota and its enforcement get stronger. Within each period,
the birth quota is more stringent for urban and Han people, than for rural and non-Han
people. The evolution of propaganda and service has not been as sharp as the birth
quota, but their secular and cross-sectional patterns are similar. Throughout this paper,
I will treat the history of the birth quota as the history of family planning policies.
41


                                               
41
I will mainly use urban-rural and ethnicity to capture the cross-sectional variations of family planning policies.
Policies also varied across provinces, but information is insufficient to specify provincial policy differences,
particularly for early periods. Fines differentials could have been used as an alternative, but data are not available for
the period 1 and 2 policies either. Moreover, recent policy changes are not considered in the paper. For example, if
one of a married couple is the only child, the couple could have a second birth.

23
Chapter 3  Static Analysis
This chapter analyzes the effect of family planning policies on the number of births that
a woman has ever had, using a cross-sectional sample of ever-married women. This
analysis is static.  
The contribution of family planning policies to China’s fertility transition has
been under debate. Many papers conclude that family planning policies explain a
sizable portion of China’s fertility decline, including Lavely and Freedman (1990), Yang
and Chen (2004), and Li, Zhang and Zhu (2005). However, other studies argue that the
impact of family planning policies on fertility has been overstated (Cai (2010), McElroy
and Yang (2000), Narayan and Peng (2006), and Schultz and Zeng (1995)).
One source of the disagreement is that those studies measure family planning
policies differently. This analysis attempts to highlight the importance of measuring
family planning policies, and tries to unify and improve the policy measures adopted
by previous studies. Chapter 3.1 reviews the static analyses on the fertility effect of
China’s family planning policies, underscoring the shortcomings of their policy
measures. Chapter 3.2 introduces the data used in this chapter. Chapter 3.3 shows
model specifications, and the way of constructing policy measures. Chapter 3.4 displays
and interprets the empirical results. Chapter 3.5 concludes.


24
3.1 Review of measures of China’s family planning policies
Quantitative analyses of family planning policies require appropriate policy measures.
Previous studies mainly construct policy measures with general demographic variables,
based on secular and cross-sectional policy variations. Such measures are named
“constructed measures” in the paper.
Previous constructed measures are generally incomplete, sometimes endogenous,
and usually lack heterogeneity. An incomplete measure ignores part of the policy
variations and tends to underestimate the policy effect. Some constructed measures
reflect a part of secular policy variations, but fail to take cross-sectional variations into
account. Yang and Chen (2004) use the 1992 Household and Economy Fertility Survey
(HESF) sample to assess the fertility effect of family planning policies. They apply the
year dummies of being married, from 1970 to 1989, to capture policy effects for different
marriage cohorts. Narayan and Peng (2006) use time series data and models to estimate
policy effects on fertility. Their policy measures are time dummies for two periods,
1970-1979 and 1980-2000. Similarly, Edlund, Li, Yi and Zhang (2008) measure policies
with a dummy variable of being exposed to the one-child policy one year prior to a
mother’s childbearing.
Some studies utilize cross-sectional policy variations, but fail to capture secular
evolution. Cai (2010) uses a county level cross-sectional data of Jiangsu and Zhejiang,
collected from the 2001 statistical yearbooks of the two provinces and the 2000 census
compilations, to estimate the effect of family planning policies on fertility. He measures

25
policies with the percentage of population with agricultural hukou
42
and the percentage
of Han population in each county.  
More studies take both secular and cross-sectional policy variations into account,
but either omits a part of the urban-rural or ethnic variations or a part of the policy
change over time. Li, Zhang and Zhu (2005) apply a difference-in-difference approach
to assess the impact of the one-child policy on fertility. The treatment and control
groups are Han and non-Han people. The pre-treatment and post-treatment samples
are taken from the 1982 and 1990 census, respectively. Li and Zhang (2007) use a
provincial panel data involving 28 provinces over 20 years (1978–1998) to estimate the
effect of birth rate on economic growth. In their first stage regressions, they use the
percentage of non-Han people in each province/year to instrument the birth rate. Li
and Zhang (2009) also adopt a difference-in-difference approach in the first stage
regressions, similar to Li, Zhang and Zhu (2005). Qian (2009) uses an individual level
cross-sectional sample from the 1990 census and the 1989 CHNS to test the quantity-
quality trade-off hypothesis. In the first stage regressions, she instruments the number
of an individual’s siblings with a triple interaction of the individual’s gender, year of
birth and region of birth. This identification strategy is essentially difference-in-
difference-in-difference. First, under the one-child policy, rural parents can have the
second birth if the first is a girl. Second, such policy relaxation varies by region. Third, if
                                               
42
Hukou is a household registration system in China. In general, urban and rural people have non-agricultural and
agricultural hukou, respectively. Rural people who temporarily migrate to urban areas generally keep their
agricultural hukou as before.


26
the individual was born in early years, his/her parents may not be influenced by the
one-child policy. Islam and Smyth (2010) use the 2008 China Health and Retirement
Longitudinal Survey (CHARLS) data to estimate the effect of number of children on
parental health. In the first stage regressions, similar to Qian (2009), they instrument the
number of children with a triple interaction of a rural dummy, child’s gender and
child’s birth period. Compared to Qian (2009), they do not take advantage of the policy
variations among rural regions, but instead, utilize the urban-rural policy difference.
Banerjee, Meng and Qian (2010) use an individual level cross-sectional data, collected in
the 2008 Urban-Rural Migration in China and Indonesia Survey (RUMiCI), to study the
impact of number of children on parental saving behaviors. In their first stage
regressions, they instrument the number of children with a dummy variable indicating
if a child was born after 1971, starting year of the period 2 policy, and its interaction
with the child’s gender. Wu and Li (2012) use an individual level panel sample with five
waves from the CHNS data to assess the effect of family size on maternal health. In
their first stage regressions, they construct a time variable about the one-child policy,
interact it with urban dummy and Han dummy, and used them to instrument family
size.
Some measures are endogenously constructed, which may bias the effect of
family planning policies on fertility or invalidate policy variables as instrumental
variables for fertility. As reviewed above, Yang and Chen (2004) use year dummies of
being married to capture secular policy variations. Similarly, Banerjee, Meng and Qian
(2010), Edlund, Li, Yi and Zhang (2008), Islam and Smyth (2010), and Qian (2009) take

27
advantage of actual timing of childbearing to measure policy exposure. However, the
timing of marriage and childbearing is endogenous and might be correlated with
unobserved factors related to fertility.
In addition to suffering from endogeneity, those measures also lack
heterogeneity. For example, a 20-year-old woman and a 40-year-old woman may both
bear a child during the one-child policy. If a single dummy variable is used to measure
the policy exposure, then the value of exposure for both women would be 1. However,
intuitively, the younger woman should have larger exposure to the policy because she
will be affected by the policy nearly through out her entire childbearing period, while
the older woman has almost physiologically finished childbearing during the policy
period. Wu and Li (2012) construct a more heterogeneous measure, which is
proportional to the length of time exposed to the policy, but is not as precise as it could
be. For example, if a woman is exposed to the policy between 20 and 30 years of age and
another is exposed between 30 and 40 years of age, their measures will be assigned with
the same value. However, the first woman arguably has a larger exposure because 20-30
is the peak interval of childbearing, while 30-40 is not. The Wu-Li measure does not
consider such heterogeneity.
This chapter will try to make the constructed measures more complete,
exogenous and heterogeneous. Further, Chapter 3.4.5 shows how the results may
change if alternative policy measures are used.  
Other than constructed measures, a few studies also use specific measures for
family planning policies.

28
Specific measures directly come from data that contain specific information on
family planning policies. For example, Schultz and Zeng (1995) use individual level
cross-sectional data for rural areas of three provinces in China, which were collected in
the 1985 In-Depth Fertility Survey (IDFS), to assess the effect of local family planning
and health programs on fertility. Family planning policies are measured by the
availability of a family planning service station, a family planning outreach worker, a
doctor or nurse, and a local clinic in a rural village.
43
McElroy and Yang (2000) use
household level cross-sectional data for rural areas across ten provinces, which were
collected in the 1992 Household Economy and Fertility Survey (HESF), to estimate the
intensity of county-level family planning policies on the number of children per family.
The HESF sample contains county-level monetary penalties imposed on “over-quota”
births and they are used to measure the county-level policy intensity. Li and Zhang
(2008) use an individual level cross-sectional data, collected in the 1989 CHNS, to study
how birth behaviors of a woman are affected by the birth behaviors of her neighbors. In
the first stage regressions, they measure the one-child policy with community-level
monetary penalties on “over- quota” births and subsidies for one-child families, and
used them to instrument the fertility of neighbors, similar to McElroy and Yang (2000).
Huang, Lei and Zhao (2014) find that the one-child policy could explain over one third
of the increase in twin births in China since 1970s, because parents may have registered
single births as twins in order to avoid monetary penalties of the one-child policy,
                                               
43
The availability was measured by dummy variables. The interactions of the dummy variables were also controlled
for in regressions.

29
under which having twins is legal. They measure the one-child policy with provincial
level fines from 1979 to 2000 for 30 provinces.  
Specificity is one of the most notable advantages of such measures as they are so
detailed that they can hardly be contaminated by irrelevant factors. However, detailed
information of monetary penalties and subsidies prior to the one child policy period is
even not existent. Therefore, this chapter will not discuss specific measures.

3.2 Data
The section uses the birth history data from the China Health and Nutrition Survey
(CHNS).
44
The ongoing CHNS is one of the most widely used micro-data about China.
Conducted by an international team, the CHNS collects information on household and
individual economic, demographic, and social variables, particularly the factors about
health and nutrition. Surveys were conducted in 1989, 1991, 1993, 1997, 2000, 2004, 2006,
2009, and 2011 across twelve provinces.
45
A large group of interviewees have been
followed longitudinally.
The CHNS surveys ever-married women, below 52 years of age,
46
about their
birth history, in 1991, 1993, 2000, 2004, 2006, 2009, and 2011. A woman may be tracked
wave-wise. The CHNS team combined the birth history data of all waves, kept only the
                                               
44
More information about the CHNS can be found on the 29official website:
http://www.cpc.unc.edu/projects/china.
45
Before wave 2000, the survey covered eight provinces: Guangxi, Guizhou, Henan, Hubei, Hunan, Jiangsu,
Liaoning, and Shandong. Heilongjiang was included in wave 2000 and thereafter. Beijing, Chongqing, and Shanghai
were further included in wave 2011.
46
The surveyed women were under 50 in wave 1991. Although only the women under 52 (or 50) should be surveyed,
a few women in the sample were above the supposed age during the survey. I kept those observations to enlarge the
sample, after checking their validity.

30
latest wave of record for each woman who has ever been survey, and released the
refined cross-sectional data online in 2013.
47
The cross-sectional data contains the birth
history of a woman up to the latest wave of survey for her. I restrict the birth history
data to women aged 15 or above during the survey. To rule out extreme cases, I further
drop the women who ever had births below 15 or above 49 from the data.
48

The birth history data includes the date of birth, gender, living arrangement, and
date of death of every child that a woman has ever had and allows us to map the
history of family planning policies onto the entire childbearing process. Other
demographic and socioeconomic variables can be found from other modules of the
CHNS. For currently married women, the information of their husband can be obtained.
Only ever-married, but not all women were asked about their birth history
because marriage is a pre-condition for childbearing in China, both traditionally and
legally. Based on the data used in the paper, the proportion of non-marital childbearing
is below 5% and has no rising trend over cohorts, which is different from what Hotz,
Klerman and Willis (1997) present about non-marital childbearing in the U.S.
49

Table 3.1 shows descriptive statistics of selected variables for ever-married
women in the sample.

                                               
47
The data is named “m12birth”, and was released in January 2013 on the official website of the CHNS. The data
doesn’t contain the information of survey year. Therefore, I merged the data to other ever-married women data (for
example, the marriage history data for the same set of women) with the information of survey year, and mapped the
latest wave to each woman in the birth history data.
48
Only 0.3% women were dropped.
49
They point out, in the U.S, less than 6% of births were out-of-wedlock in 1963, while this proportion rose to 30% in
1992.

31
Table 3.1 Descriptive statistics of selected variables for static analysis
 Birth Cohort of Ever-married Women
Full sample 1950 or older 1951-60 1961-70 1971-80 1981 or younger
Number of births 1.70 3.11 2.03 1.48 1.23 0.87
(1.12) (1.43) (1.07) (0.79) (0.66) (0.61)
0-1 birth (%) 53.9 9.5 35.2 60.0 74.0 89.3
(49.9) (29.3) (47.8) (49.0) (43.9) (30.9)
2-3 births (%) 39.2 56.2 56.5 38.1 25.4 10.5
(48.8) (49.6) (49.6) (48.6) (43.6) (30.7)
4 or more births (%) 6.9 34.3 8.3 2.0 0.5 0.2
(25.3) (47.5) (27.6) (13.9) (7.1) (3.9)
Age at survey 40.81 48.68 48.14 41.82 33.57 25.66
(8.87) (3.38) (4.81) (6.39) (4.48) (2.91)
Urban (%) 36.2 30.4 37.0 38.7 36.6 31.6
(48.0) (46.0) (48.3) (48.7) (48.2) (46.5)
Han (%) 88.4 85.2 88.6 89.8 87.2 89.6
(32.1) (35.6) (31.8) (30.3) (33.4) (30.5)
Coast (%) 27.7 26.8 23.8 28.3 29.2 33.1
(44.8) (44.3) (42.6) (45.1) (45.5) (47.1)
No schooling (%) 17.0 49.6 29.0 8.9 5.2 1.7
(37.6) (50.0) (45.4) (28.5) (22.2) (12.9)
Primary school (%) 18.3 29.0 18.7 18.2 15.7 9.6
(38.7) (45.4) (39.0) (38.6) (36.4) (29.5)
Middle school (%) 35.6 14.0 27.3 41.2 43.4 45.8
(47.9) (34.7) (44.6) (49.2) (49.6) (49.9)
High school (%) 20.6 6.6 22.3 23.9 20.8 22.6
(40.5) (24.9) (41.6) (42.7) (40.6) (41.9)
College (%) 8.5 0.8 2.7 7.8 15.0 20.3
(27.9) (9.0) (16.3) (26.8) (35.7) (40.3)
N 7105 863 1648 2375 1564 655
Note: Standard deviations are in parentheses. Coast indicates whether a woman lives in the east coast of
China, including Beijing, Shandong, Jiangsu and Shanghai in the sample. Primary school, middle school, high
school and college indicate the highest level of schooling.  

Means and standard deviations are shown for the full sample, and for different
birth cohorts of women. The sample comprises 7105 women. They on average have 1.7
children, over half having no more than 1 birth. They were on average 41 years old at
survey. 36% women live in urban areas, 88% women are Han Chinese, and 28% women

32
live on more-developed east coast of China. Over half women did not obtain high
school education or above.  
Over birth cohorts, the total number of children ever born to a woman decreases
from about 3 to below 1. The faction of women having 0 or 1 birth sharply rises. This
eye-catching fertility decline should be partly attributed to unfinished childbearing of
young cohorts. However, fertility transition remains substantial for cohorts older than
1970 who were on average above 40 and had essentially completed childbearing by the
survey.  
The fraction of urban women increases and then decreases over cohorts. The first
half reflects urbanization, and the second half implies that urban young cohorts are less
likely to be married and thus less likely to appear in the sample. The proportion of
women with primary school education is smaller over cohorts, and the proportion of
better-educated women increases greatly.  
CHNS is not nationally representative as it underrepresents the northwest
population of China. Figure 3.1 plots the average number of births by birth cohort of
women, obtained from the CHNS sample and the one percent sample of China’s 1990
census, to examine how representative the CHNS sample is in terms of fertility change
over cohorts.





33
Figure 3.1 Number of births by cohort of mothers, CHNS versus census


The CHNS sample has shown similar patterns of fertility change with the census
sample. The census fertility level drops below the CHNS sample for the youngest
cohorts, because those women were still far from completing childbearing in 1990.  

3.3 Empirical strategy and policy measurement
In a demand model of fertility (e.g., Hotz, Klerman and Willis, 1997), a married couple
maximizes their utility by choosing the number (and the quality) of children and

34
consumption subject to budget and time constraints. Then, the demand function for the
number of children, n, can be expressed as

n = N(p, w, I, θ), (3.1)
 
where p is a vector of various prices which directly or indirectly affect n; w is the wage
of mothers (the price of mothers’ time); I is the household non-labor income; and θ is a
vector of attributes that affect n, including parental preferences, technologies, parental
fecundity, etc.
China’s family planning policies can enter the demand function through various
channels. For example, birth quota raises the price of high-order births; family planning
service lowers the price of contraceptives; propaganda shifts parental preferences. With
appropriate policy measures that integrate different channels, the demand function can
be expressed as

n = N(FPP, p, w, I, θ), (3.2)

where FPP is a vector of policy measures.
Easterlin and Crimmins (1985) propose a different analytical framework for
fertility, which specifies three channels through which various factors affect the number
of children ever born: the demand for children, the supply of children and fertility
regulation. Equation (3.2) also matches well with their framework and all function

35
arguments can be mapped onto the three channels. For example, parental fecundity
influences the supply of children; prices and income affect the demand of children;
family planning policies are fertility regulation. Other than the arguments specified
earlier in this section, their supply channel highlights the survival rate (or mortality rate)
of children, which could be added to θ.
As the policy effects on n is the major interest of the chapter, other variables will
be reduced to exogenous variables. In other words, a reduced-form equation will be
estimated, as in Equation (3.3).


𝑛 𝑖 = 𝛼 + ∑ ( 𝛽 𝑗 0
𝐹𝑃𝑃 𝑗𝑖
+ 𝛽 𝑗 1
𝐹𝑃𝑃 𝑗𝑖
× 𝑈𝑟𝑏𝑎𝑛 𝑖 + 𝛽 𝑗 2
𝐹𝑃𝑃 𝑗𝑖
× 𝐻𝑎𝑛 𝑖 )
𝑗 =1,2,3

+𝛿 𝑈𝑟𝑏𝑎𝑛 𝑖 + 𝜃𝐻𝑎𝑛 𝑖 + ∑𝛾 𝑘 𝑋 𝑘𝑖 𝑘 + 𝜂 𝑐 + 𝘀 𝑖 ,
(3.3)

In this equation, i indicates woman i. 𝑛 𝑖 is the number of children ever born to
woman i. 𝐹𝑃𝑃 𝑗𝑖
measures woman i’s exposure to the period j policy. As China’s family
planning policies differ by urban-rural and ethnicity, 𝐹𝑃𝑃 𝑗𝑖
is further interacted with an
urban dummy and a Han dummy. 𝑋 𝑘 involves a set of variables of women and their
husbands, such as schooling dummies, province dummies, and dummies of age at
survey. 𝜂 𝑐 captures cohort variables, including a cohort linear trend, 5-year cohort
dummies,
50
interactions of 5-year cohort dummies and urban dummy, interactions of 5-
                                               
50
Estimation results are robust if the 5-year cohort dummies here are replaced with a more precise specification, for
example, 3-year cohort dummies.

36
year cohort dummies and Han dummy, and interactions of 5-year cohort dummies and
province dummies.
𝐹𝑃𝑃 𝑗𝑖
is defined as below:


𝐹𝑃𝑃 𝑗𝑖
= ∑ 𝑝 ( 𝑎 )
𝑎 𝑒𝑗𝑖
𝑎 =𝑎 𝑠𝑗𝑖 .
(3.4)

𝑎 represents age. 𝑎 𝑠𝑗𝑖
and 𝑎 𝑒𝑗𝑖 are woman i’s age when period j policy started and ended.
According to the policy history, 𝑎 𝑠𝑗𝑖
and 𝑎 𝑒𝑗𝑖 are defined as


𝑎 𝑠 1
= 1963 − 𝑏𝑖𝑟𝑡 ℎ 𝑦𝑒𝑎𝑟 , 𝑎 𝑒 1
= 1970 − 𝑏𝑖𝑟𝑡 ℎ 𝑦𝑒𝑎𝑟 ;
𝑎 𝑠 2
= 1971 − 𝑏𝑖𝑟𝑡 ℎ 𝑦𝑒𝑎𝑟 , 𝑎 𝑒 2
= 1979 − 𝑏𝑖𝑟𝑡 ℎ 𝑦𝑒𝑎𝑟 ;
𝑎 𝑠 3
= 1980 − 𝑏𝑖𝑟𝑡 ℎ 𝑦𝑒𝑎𝑟 , 𝑎 𝑒 3
= 𝑠𝑢𝑟𝑣𝑒𝑦 𝑦𝑒𝑎𝑟 − 𝑏𝑖𝑟𝑡 ℎ 𝑦𝑒𝑎𝑟 .
(3.5)

𝑝 ( 𝑎 ) measures the probability of conception at age a, with support from age 15 to
49. Figure 3.2 illustrates 𝑝 ( 𝑎 ) , which is calculated based on birth records of all women in
the sample.








37
Figure 3.2 Probability of conception by age

Note: Plotted based on all women in the sample. For any age below 15 or above 49, the probability is 0.

Chapter 3.4.5 will show that empirical results are robust to the 𝑝 ( 𝑎 ) calculated
based on subsamples of women. Figure 3.3 illustrates 𝐹𝑃𝑃 1
, 𝐹𝑃𝑃 2
, and 𝐹𝑃𝑃 3
by birth
cohort of women.





38
Figure 3.3 Intensity of exposure to period 1, 2 and 3 policies by cohort of women

Note: Each point represents the mean of 𝐹𝑃𝑃 𝑗𝑖
within a birth cohort.

Women born in 1940s, 1950s, and after 1960 are mostly affected by the period 1,
period 2, and period 3 policy, respectively.  
Policy exposure defined in Equation (3.4) is more heterogeneous than previous
measures. First, longer a woman is exposed to a policy, greater 𝐹𝑃𝑃 𝑗𝑖
is likely to be.
Second, if a woman is exposed to a policy during her peak age of childbearing, 𝐹𝑃𝑃 𝑗𝑖

tends to be greater than those exposed to the policy at non-peak age of childbearing.
Moreover, 𝐹𝑃𝑃 𝑗𝑖
is essentially a function of birth cohorts, which are exogenous.

39
Equation (3.3) has considered policy variations over the three periods, and policy
differences between urban and rural areas, and between Han and non-Han people,
therefore the policy measurement is more complete than previous measures.  
Variables p, w, I and θ are assumed to be largely characterized by 𝑋 𝑘 and 𝜂 𝑐 . For
example, prices, infant mortality rate and technologies exhibit certain patterns over time,
and the patterns might differ by region and ethnicity. Therefore, linear cohort trend, 5-
year cohort dummies, and interactions of 5-year cohort dummies and various group
dummies (urban dummy, Han dummy, and province dummies) could essentially
capture those variables. Moreover, wage and household income are largely determined
by schooling and age of women and their husband. All other uncontrolled factors go to
the error term 𝘀 𝑖 , and are assumed to be uncorrelated with controlled variables.
To complete the empirical specification, I add the exposure to the great famine
(1959-1962). This variable is defined similarly to policy exposure, with 𝑎 𝑠𝑗𝑖
and 𝑎 𝑒𝑗𝑖 the
age when the great famine started and ended. On one hand, this variable can capture
the fertility drop caused by the famine; on the other hand, as fertility make-up after the
famine triggered the period 1 policy, this variable helps deal with the issue of
endogenous program placement.


40
3.4 Empirical results
3.4.1 Estimation results
Table 3.2 shows OLS estimation results, with standard errors in parentheses. Standard
errors are clustered at the primary sampling unit/five-year birth cohort level.
51


Table 3.2 OLS regressions of number of births on determinants
Dependent variable: Number of births a woman has ever had
(1) (2) (3)
Policy 1 -1.222 -1.278 -2.308
(1.469) (1.476) (1.414)
Policy 1 × Urban -1.325 -0.507 -1.491
(0.688)* (0.981) (0.788)*
Policy 1 × Han 0.822 0.917 1.251
(1.034) (1.046) (0.974)
Policy 1 × Urban × Han  -0.880  
 (0.708)  
Policy 2 -1.890 -1.895 -3.521
(1.325) (1.351) (1.376)**
Policy 2 × Urban -1.129 -0.849 -0.475
(0.384)*** (0.553) (0.461)
Policy 2 × Han 0.112 0.146 0.869
(0.642) (0.703) (0.694)
Policy 2 × Urban × Han  -0.293  
 (0.516)  
Policy 3 -2.385 -2.350 -3.170
(1.212)** (1.214)* (1.283)**
Policy 3 × Urban -0.180 -0.119 0.049
(0.160) (0.189) (0.177)
Policy 3 × Han -0.132 -0.133 0.062
(0.193) (0.195) (0.211)
Policy 3 × Urban × Han  -0.056  
 (0.100)  
Urban 1.397 1.432 1.098
(0.724)* (0.725)** (0.868)
Han (women) 0.699 0.664 -1.059
(1.022) (1.027) (0.969)
Han (women’s husband)   0.448
                                               
51
Each primary sampling unit is an urban or suburban neighborhood in a city, or a town or village in a county. The
total number of clusters is 2,256.  

41
  (0.559)
Famine -1.470 -1.509 -3.620
(1.678) (1.681) (1.683)**
Schooling of women    
Primary school -0.252 -0.253 -0.265
(0.044)*** (0.044)*** (0.050)***
Middle school -0.485 -0.484 -0.499
(0.041)*** (0.041)*** (0.047)***
High school -0.711 -0.709 -0.669
(0.044)*** (0.044)*** (0.052)***
College or above -0.818 -0.816 -0.713
(0.046)*** (0.046)*** (0.056)***
Schooling of women’s husband    
Primary school   -0.013
  (0.060)
Middle school   -0.016
  (0.056)
High school   -0.118
  (0.058)**
College or above   -0.181
  (0.061)***
   
Province dummies Yes Yes Yes
   
For women    
Cohort linear trend Yes Yes Yes
Five-year cohort dummies Yes Yes Yes
Age dummies Yes Yes Yes
Five-year cohort dummies * Urban dummy Yes Yes Yes
Five-year cohort dummies * Han dummy Yes Yes Yes
Five-year cohort dummies * Province
dummies
Yes Yes Yes
   
For women’s husband    
Cohort linear trend No No Yes
Five-year cohort dummies No No Yes
Age dummies No No Yes
Five-year cohort dummies * Urban dummy No No Yes
Five-year cohort dummies * Han dummy No No Yes
Five-year cohort dummies * Province
dummies
No No Yes
   
P value for significance of policies 0.0025 0.0036 0.0386
R squared 0.5388 0.5392 0.5684
N 7105 7105 5922
Note: Standard errors, in parentheses, are clustered at the primary sampling unit/five-year birth cohort
level. * p (author)  Essays on family planning policies  College of Letters, Arts and Sciences  Doctor of Philosophy  Economics  06/23/2014  05/12/2014  (original), (digital)  China,family planning policies,fertility,OAI-PMH Harvest  (imt)  (provenance)  Strauss, John A. ( ), Crimmins, Eileen M. ( ), Nugent, Jeffrey B. ( ), Ridder, Geert ( )  [email protected]  UC11285968  etd-WangFei-2576.pdf (filename),usctheses-c3-422475 (legacy record id)  etd-WangFei-2576.pdf  422475  Dissertation  application/pdf (imt)  Wang, Fei  (contributing entity), (collection)  The author retains rights to his/her dissertation, thesis or other graduate work according to U.S. copyright law.  Electronic access is being provided by the USC Libraries in agreement with the a...  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if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);;});(function(){RegisterImageEvent("a5.2.1.2.30.1.1:I","error",function(ev){Utils.ImgChangeSrc(document.getElementById('a5.2.1.2.30.1.1:I').querySelector('img'),'a5.2.1.2.30.1.1:I','Assets/V2/ChFVQzFTNTAwMDAwMDAwMDAwMxIGVFJNaXNjGiNcVFJNaXNjXDk5XGM5XDg2XGRlXDI1XE9SM01TQzI0LmdpZiIECAEQD2IIT1IzTVNDMjQ-~/vqjHbDNJReq1KmQ2/vqjHbDNJReq1KmQ2/OR3MSC24.gif',true);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.1.1:I","click",function(ev){$Control('a5.2.1.2.30.1.1:I',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.1.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();$Control('a5.2.1.2.30.1.1:I',ButtonCtrl.Const.CONTROL_NAME).SetFileNameOnDrop('"etd-MaMingming-6411.pdf"');(function(){RegisterButtonEvent("a5.2.1.2.30.1.1:M","click",function(ev){$Control('a5.2.1.2.30.1.1:M',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.1.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.1.1:PB","click",function(ev){$Control('a5.2.1.2.30.1.1:PB',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.1.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.1:DetailLink","click",function(ev){$Control('a5.2.1.2.30.1:DetailLink',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.1','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);ev.preventDefault();Matrix3.mbClick=true;})})();DeferInject.ShowOnParentHover("a5.2.1.2.30.1:IOHPnl");(function(){RegisterControlEvent("a5.2.1.2.30.1:IOHPnl","click",function(ev){$Control('a5.2.1.2.30.1:IOHPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.1','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterControlEvent("a5.2.1.2.30.1:SelectPnl","contextmenu",function(ev){$Control('a5.2.1.2.30.1:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.1','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);})})();$AddEvent($Control('a5.2.1.2.30.1:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME),'Event_SelectionChange','UpdateLists','BatchAttributesa5.1.4.5','UpdateSelection,800');document.getElementById("a5.2.1.2.30.2:SelectPnl")&&document.getElementById("a5.2.1.2.30.2:SelectPnl").addEventListener("contextmenu",function(ev){$Control('a5.2.1.2.30.2:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.2','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);;});(function(){RegisterImageEvent("a5.2.1.2.30.2.1:I","error",function(ev){Utils.ImgChangeSrc(document.getElementById('a5.2.1.2.30.2.1:I').querySelector('img'),'a5.2.1.2.30.2.1:I','Assets/V2/ChFVQzFTNTAwMDAwMDAwMDAwMxIGVFJNaXNjGiNcVFJNaXNjXDk5XGM5XDg2XGRlXDI1XE9SM01TQzI0LmdpZiIECAEQD2IIT1IzTVNDMjQ-~/vqjHbDNJReq1KmQ2/vqjHbDNJReq1KmQ2/OR3MSC24.gif',true);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.2.1:I","click",function(ev){$Control('a5.2.1.2.30.2.1:I',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.2.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();$Control('a5.2.1.2.30.2.1:I',ButtonCtrl.Const.CONTROL_NAME).SetFileNameOnDrop('"etd-KimKyoungE-4129.pdf"');(function(){RegisterButtonEvent("a5.2.1.2.30.2.1:M","click",function(ev){$Control('a5.2.1.2.30.2.1:M',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.2.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.2.1:PB","click",function(ev){$Control('a5.2.1.2.30.2.1:PB',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.2.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.2:DetailLink","click",function(ev){$Control('a5.2.1.2.30.2:DetailLink',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.2','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);ev.preventDefault();Matrix3.mbClick=true;})})();DeferInject.ShowOnParentHover("a5.2.1.2.30.2:IOHPnl");(function(){RegisterControlEvent("a5.2.1.2.30.2:IOHPnl","click",function(ev){$Control('a5.2.1.2.30.2:IOHPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.2','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterControlEvent("a5.2.1.2.30.2:SelectPnl","contextmenu",function(ev){$Control('a5.2.1.2.30.2:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.2','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);})})();$AddEvent($Control('a5.2.1.2.30.2:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME),'Event_SelectionChange','UpdateLists','BatchAttributesa5.1.4.5','UpdateSelection,800');document.getElementById("a5.2.1.2.30.3:SelectPnl")&&document.getElementById("a5.2.1.2.30.3:SelectPnl").addEventListener("contextmenu",function(ev){$Control('a5.2.1.2.30.3:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.3','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);;});(function(){RegisterImageEvent("a5.2.1.2.30.3.1:I","error",function(ev){Utils.ImgChangeSrc(document.getElementById('a5.2.1.2.30.3.1:I').querySelector('img'),'a5.2.1.2.30.3.1:I','Assets/V2/ChFVQzFTNTAwMDAwMDAwMDAwMxIGVFJNaXNjGiNcVFJNaXNjXDk5XGM5XDg2XGRlXDI1XE9SM01TQzI0LmdpZiIECAEQD2IIT1IzTVNDMjQ-~/vqjHbDNJReq1KmQ2/vqjHbDNJReq1KmQ2/OR3MSC24.gif',true);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.3.1:I","click",function(ev){$Control('a5.2.1.2.30.3.1:I',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.3.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();$Control('a5.2.1.2.30.3.1:I',ButtonCtrl.Const.CONTROL_NAME).SetFileNameOnDrop('"etd-KimYounoh-1547.pdf"');(function(){RegisterButtonEvent("a5.2.1.2.30.3.1:M","click",function(ev){$Control('a5.2.1.2.30.3.1:M',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.3.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.3.1:PB","click",function(ev){$Control('a5.2.1.2.30.3.1:PB',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.3.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.3:DetailLink","click",function(ev){$Control('a5.2.1.2.30.3:DetailLink',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.3','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);ev.preventDefault();Matrix3.mbClick=true;})})();DeferInject.ShowOnParentHover("a5.2.1.2.30.3:IOHPnl");(function(){RegisterControlEvent("a5.2.1.2.30.3:IOHPnl","click",function(ev){$Control('a5.2.1.2.30.3:IOHPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.3','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterControlEvent("a5.2.1.2.30.3:SelectPnl","contextmenu",function(ev){$Control('a5.2.1.2.30.3:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.3','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);})})();$AddEvent($Control('a5.2.1.2.30.3:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME),'Event_SelectionChange','UpdateLists','BatchAttributesa5.1.4.5','UpdateSelection,800');document.getElementById("a5.2.1.2.30.4:SelectPnl")&&document.getElementById("a5.2.1.2.30.4:SelectPnl").addEventListener("contextmenu",function(ev){$Control('a5.2.1.2.30.4:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.4','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);;});(function(){RegisterImageEvent("a5.2.1.2.30.4.1:I","error",function(ev){Utils.ImgChangeSrc(document.getElementById('a5.2.1.2.30.4.1:I').querySelector('img'),'a5.2.1.2.30.4.1:I','Assets/V2/ChFVQzFTNTAwMDAwMDAwMDAwMxIGVFJNaXNjGiNcVFJNaXNjXDk5XGM5XDg2XGRlXDI1XE9SM01TQzI0LmdpZiIECAEQD2IIT1IzTVNDMjQ-~/vqjHbDNJReq1KmQ2/vqjHbDNJReq1KmQ2/OR3MSC24.gif',true);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.4.1:I","click",function(ev){$Control('a5.2.1.2.30.4.1:I',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.4.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();$Control('a5.2.1.2.30.4.1:I',ButtonCtrl.Const.CONTROL_NAME).SetFileNameOnDrop('"etd-FangYue-11621.pdf"');(function(){RegisterButtonEvent("a5.2.1.2.30.4.1:M","click",function(ev){$Control('a5.2.1.2.30.4.1:M',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.4.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.4.1:PB","click",function(ev){$Control('a5.2.1.2.30.4.1:PB',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.4.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.4:DetailLink","click",function(ev){$Control('a5.2.1.2.30.4:DetailLink',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.4','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);ev.preventDefault();Matrix3.mbClick=true;})})();DeferInject.ShowOnParentHover("a5.2.1.2.30.4:IOHPnl");(function(){RegisterControlEvent("a5.2.1.2.30.4:IOHPnl","click",function(ev){$Control('a5.2.1.2.30.4:IOHPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.4','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterControlEvent("a5.2.1.2.30.4:SelectPnl","contextmenu",function(ev){$Control('a5.2.1.2.30.4:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.4','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);})})();$AddEvent($Control('a5.2.1.2.30.4:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME),'Event_SelectionChange','UpdateLists','BatchAttributesa5.1.4.5','UpdateSelection,800');document.getElementById("a5.2.1.2.30.5:SelectPnl")&&document.getElementById("a5.2.1.2.30.5:SelectPnl").addEventListener("contextmenu",function(ev){$Control('a5.2.1.2.30.5:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.5','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);;});(function(){RegisterImageEvent("a5.2.1.2.30.5.1:I","error",function(ev){Utils.ImgChangeSrc(document.getElementById('a5.2.1.2.30.5.1:I').querySelector('img'),'a5.2.1.2.30.5.1:I','Assets/V2/ChFVQzFTNTAwMDAwMDAwMDAwMxIGVFJNaXNjGiNcVFJNaXNjXDk5XGM5XDg2XGRlXDI1XE9SM01TQzI0LmdpZiIECAEQD2IIT1IzTVNDMjQ-~/vqjHbDNJReq1KmQ2/vqjHbDNJReq1KmQ2/OR3MSC24.gif',true);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.5.1:I","click",function(ev){$Control('a5.2.1.2.30.5.1:I',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.5.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();$Control('a5.2.1.2.30.5.1:I',ButtonCtrl.Const.CONTROL_NAME).SetFileNameOnDrop('"etd-JiangQin-9673.pdf"');(function(){RegisterButtonEvent("a5.2.1.2.30.5.1:M","click",function(ev){$Control('a5.2.1.2.30.5.1:M',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.5.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.5.1:PB","click",function(ev){$Control('a5.2.1.2.30.5.1:PB',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.5.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.5:DetailLink","click",function(ev){$Control('a5.2.1.2.30.5:DetailLink',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.5','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);ev.preventDefault();Matrix3.mbClick=true;})})();DeferInject.ShowOnParentHover("a5.2.1.2.30.5:IOHPnl");(function(){RegisterControlEvent("a5.2.1.2.30.5:IOHPnl","click",function(ev){$Control('a5.2.1.2.30.5:IOHPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.5','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterControlEvent("a5.2.1.2.30.5:SelectPnl","contextmenu",function(ev){$Control('a5.2.1.2.30.5:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.5','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);})})();$AddEvent($Control('a5.2.1.2.30.5:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME),'Event_SelectionChange','UpdateLists','BatchAttributesa5.1.4.5','UpdateSelection,800');document.getElementById("a5.2.1.2.30.6:SelectPnl")&&document.getElementById("a5.2.1.2.30.6:SelectPnl").addEventListener("contextmenu",function(ev){$Control('a5.2.1.2.30.6:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.6','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);;});(function(){RegisterImageEvent("a5.2.1.2.30.6.1:I","error",function(ev){Utils.ImgChangeSrc(document.getElementById('a5.2.1.2.30.6.1:I').querySelector('img'),'a5.2.1.2.30.6.1:I','Assets/V2/ChFVQzFTNTAwMDAwMDAwMDAwMxIGVFJNaXNjGiNcVFJNaXNjXDk5XGM5XDg2XGRlXDI1XE9SM01TQzI0LmdpZiIECAEQD2IIT1IzTVNDMjQ-~/vqjHbDNJReq1KmQ2/vqjHbDNJReq1KmQ2/OR3MSC24.gif',true);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.6.1:I","click",function(ev){$Control('a5.2.1.2.30.6.1:I',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.6.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();$Control('a5.2.1.2.30.6.1:I',ButtonCtrl.Const.CONTROL_NAME).SetFileNameOnDrop('"etd-JainUrvash-6372.pdf"');(function(){RegisterButtonEvent("a5.2.1.2.30.6.1:M","click",function(ev){$Control('a5.2.1.2.30.6.1:M',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.6.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.6.1:PB","click",function(ev){$Control('a5.2.1.2.30.6.1:PB',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.6.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.6:DetailLink","click",function(ev){$Control('a5.2.1.2.30.6:DetailLink',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.6','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);ev.preventDefault();Matrix3.mbClick=true;})})();DeferInject.ShowOnParentHover("a5.2.1.2.30.6:IOHPnl");(function(){RegisterControlEvent("a5.2.1.2.30.6:IOHPnl","click",function(ev){$Control('a5.2.1.2.30.6:IOHPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.6','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterControlEvent("a5.2.1.2.30.6:SelectPnl","contextmenu",function(ev){$Control('a5.2.1.2.30.6:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.6','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);})})();$AddEvent($Control('a5.2.1.2.30.6:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME),'Event_SelectionChange','UpdateLists','BatchAttributesa5.1.4.5','UpdateSelection,800');document.getElementById("a5.2.1.2.30.7:SelectPnl")&&document.getElementById("a5.2.1.2.30.7:SelectPnl").addEventListener("contextmenu",function(ev){$Control('a5.2.1.2.30.7:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.7','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);;});(function(){RegisterImageEvent("a5.2.1.2.30.7.1:I","error",function(ev){Utils.ImgChangeSrc(document.getElementById('a5.2.1.2.30.7.1:I').querySelector('img'),'a5.2.1.2.30.7.1:I','Assets/V2/ChFVQzFTNTAwMDAwMDAwMDAwMxIGVFJNaXNjGiNcVFJNaXNjXDk5XGM5XDg2XGRlXDI1XE9SM01TQzI0LmdpZiIECAEQD2IIT1IzTVNDMjQ-~/vqjHbDNJReq1KmQ2/vqjHbDNJReq1KmQ2/OR3MSC24.gif',true);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.7.1:I","click",function(ev){$Control('a5.2.1.2.30.7.1:I',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.7.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();$Control('a5.2.1.2.30.7.1:I',ButtonCtrl.Const.CONTROL_NAME).SetFileNameOnDrop('"etd-ZhouCheng-4426.pdf"');(function(){RegisterButtonEvent("a5.2.1.2.30.7.1:M","click",function(ev){$Control('a5.2.1.2.30.7.1:M',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.7.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.7.1:PB","click",function(ev){$Control('a5.2.1.2.30.7.1:PB',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.7.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.7:DetailLink","click",function(ev){$Control('a5.2.1.2.30.7:DetailLink',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.7','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);ev.preventDefault();Matrix3.mbClick=true;})})();DeferInject.ShowOnParentHover("a5.2.1.2.30.7:IOHPnl");(function(){RegisterControlEvent("a5.2.1.2.30.7:IOHPnl","click",function(ev){$Control('a5.2.1.2.30.7:IOHPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.7','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterControlEvent("a5.2.1.2.30.7:SelectPnl","contextmenu",function(ev){$Control('a5.2.1.2.30.7:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.7','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);})})();$AddEvent($Control('a5.2.1.2.30.7:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME),'Event_SelectionChange','UpdateLists','BatchAttributesa5.1.4.5','UpdateSelection,800');document.getElementById("a5.2.1.2.30.8:SelectPnl")&&document.getElementById("a5.2.1.2.30.8:SelectPnl").addEventListener("contextmenu",function(ev){$Control('a5.2.1.2.30.8:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.8','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);;});(function(){RegisterImageEvent("a5.2.1.2.30.8.1:I","error",function(ev){Utils.ImgChangeSrc(document.getElementById('a5.2.1.2.30.8.1:I').querySelector('img'),'a5.2.1.2.30.8.1:I','Assets/V2/ChFVQzFTNTAwMDAwMDAwMDAwMxIGVFJNaXNjGiNcVFJNaXNjXDk5XGM5XDg2XGRlXDI1XE9SM01TQzI0LmdpZiIECAEQD2IIT1IzTVNDMjQ-~/vqjHbDNJReq1KmQ2/vqjHbDNJReq1KmQ2/OR3MSC24.gif',true);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.8.1:I","click",function(ev){$Control('a5.2.1.2.30.8.1:I',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.8.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();$Control('a5.2.1.2.30.8.1:I',ButtonCtrl.Const.CONTROL_NAME).SetFileNameOnDrop('"etd-WangHongmi-7494.pdf"');(function(){RegisterButtonEvent("a5.2.1.2.30.8.1:M","click",function(ev){$Control('a5.2.1.2.30.8.1:M',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.8.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.8.1:PB","click",function(ev){$Control('a5.2.1.2.30.8.1:PB',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.8.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.8:DetailLink","click",function(ev){$Control('a5.2.1.2.30.8:DetailLink',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.8','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);ev.preventDefault();Matrix3.mbClick=true;})})();DeferInject.ShowOnParentHover("a5.2.1.2.30.8:IOHPnl");(function(){RegisterControlEvent("a5.2.1.2.30.8:IOHPnl","click",function(ev){$Control('a5.2.1.2.30.8:IOHPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.8','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterControlEvent("a5.2.1.2.30.8:SelectPnl","contextmenu",function(ev){$Control('a5.2.1.2.30.8:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.8','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);})})();$AddEvent($Control('a5.2.1.2.30.8:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME),'Event_SelectionChange','UpdateLists','BatchAttributesa5.1.4.5','UpdateSelection,800');document.getElementById("a5.2.1.2.30.9:SelectPnl")&&document.getElementById("a5.2.1.2.30.9:SelectPnl").addEventListener("contextmenu",function(ev){$Control('a5.2.1.2.30.9:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.9','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);;});(function(){RegisterImageEvent("a5.2.1.2.30.9.1:I","error",function(ev){Utils.ImgChangeSrc(document.getElementById('a5.2.1.2.30.9.1:I').querySelector('img'),'a5.2.1.2.30.9.1:I','Assets/V2/ChFVQzFTNTAwMDAwMDAwMDAwMxIGVFJNaXNjGiNcVFJNaXNjXDk5XGM5XDg2XGRlXDI1XE9SM01TQzI0LmdpZiIECAEQD2IIT1IzTVNDMjQ-~/vqjHbDNJReq1KmQ2/vqjHbDNJReq1KmQ2/OR3MSC24.gif',true);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.9.1:I","click",function(ev){$Control('a5.2.1.2.30.9.1:I',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.9.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();$Control('a5.2.1.2.30.9.1:I',ButtonCtrl.Const.CONTROL_NAME).SetFileNameOnDrop('"etd-AbboudAli-7253.pdf"');(function(){RegisterButtonEvent("a5.2.1.2.30.9.1:M","click",function(ev){$Control('a5.2.1.2.30.9.1:M',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.9.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.9.1:PB","click",function(ev){$Control('a5.2.1.2.30.9.1:PB',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.9.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.9:DetailLink","click",function(ev){$Control('a5.2.1.2.30.9:DetailLink',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.9','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);ev.preventDefault();Matrix3.mbClick=true;})})();DeferInject.ShowOnParentHover("a5.2.1.2.30.9:IOHPnl");(function(){RegisterControlEvent("a5.2.1.2.30.9:IOHPnl","click",function(ev){$Control('a5.2.1.2.30.9:IOHPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.9','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterControlEvent("a5.2.1.2.30.9:SelectPnl","contextmenu",function(ev){$Control('a5.2.1.2.30.9:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.9','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);})})();$AddEvent($Control('a5.2.1.2.30.9:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME),'Event_SelectionChange','UpdateLists','BatchAttributesa5.1.4.5','UpdateSelection,800');document.getElementById("a5.2.1.2.30.10:SelectPnl")&&document.getElementById("a5.2.1.2.30.10:SelectPnl").addEventListener("contextmenu",function(ev){$Control('a5.2.1.2.30.10:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.10','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);;});(function(){RegisterImageEvent("a5.2.1.2.30.10.1:I","error",function(ev){Utils.ImgChangeSrc(document.getElementById('a5.2.1.2.30.10.1:I').querySelector('img'),'a5.2.1.2.30.10.1:I','Assets/V2/ChFVQzFTNTAwMDAwMDAwMDAwMxIGVFJNaXNjGiNcVFJNaXNjXDk5XGM5XDg2XGRlXDI1XE9SM01TQzI0LmdpZiIECAEQD2IIT1IzTVNDMjQ-~/vqjHbDNJReq1KmQ2/vqjHbDNJReq1KmQ2/OR3MSC24.gif',true);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.10.1:I","click",function(ev){$Control('a5.2.1.2.30.10.1:I',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.10.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();$Control('a5.2.1.2.30.10.1:I',ButtonCtrl.Const.CONTROL_NAME).SetFileNameOnDrop('"etd-KimBora-9684.pdf"');(function(){RegisterButtonEvent("a5.2.1.2.30.10.1:M","click",function(ev){$Control('a5.2.1.2.30.10.1:M',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.10.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.10.1:PB","click",function(ev){$Control('a5.2.1.2.30.10.1:PB',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.10.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.10:DetailLink","click",function(ev){$Control('a5.2.1.2.30.10:DetailLink',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.10','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);ev.preventDefault();Matrix3.mbClick=true;})})();DeferInject.ShowOnParentHover("a5.2.1.2.30.10:IOHPnl");(function(){RegisterControlEvent("a5.2.1.2.30.10:IOHPnl","click",function(ev){$Control('a5.2.1.2.30.10:IOHPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.10','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterControlEvent("a5.2.1.2.30.10:SelectPnl","contextmenu",function(ev){$Control('a5.2.1.2.30.10:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.10','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);})})();$AddEvent($Control('a5.2.1.2.30.10:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME),'Event_SelectionChange','UpdateLists','BatchAttributesa5.1.4.5','UpdateSelection,800');document.getElementById("a5.2.1.2.30.11:SelectPnl")&&document.getElementById("a5.2.1.2.30.11:SelectPnl").addEventListener("contextmenu",function(ev){$Control('a5.2.1.2.30.11:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.11','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);;});(function(){RegisterImageEvent("a5.2.1.2.30.11.1:I","error",function(ev){Utils.ImgChangeSrc(document.getElementById('a5.2.1.2.30.11.1:I').querySelector('img'),'a5.2.1.2.30.11.1:I','Assets/V2/ChFVQzFTNTAwMDAwMDAwMDAwMxIGVFJNaXNjGiNcVFJNaXNjXDk5XGM5XDg2XGRlXDI1XE9SM01TQzI0LmdpZiIECAEQD2IIT1IzTVNDMjQ-~/vqjHbDNJReq1KmQ2/vqjHbDNJReq1KmQ2/OR3MSC24.gif',true);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.11.1:I","click",function(ev){$Control('a5.2.1.2.30.11.1:I',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.11.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();$Control('a5.2.1.2.30.11.1:I',ButtonCtrl.Const.CONTROL_NAME).SetFileNameOnDrop('"etd-ZhuYaoyao-4499.pdf"');(function(){RegisterButtonEvent("a5.2.1.2.30.11.1:M","click",function(ev){$Control('a5.2.1.2.30.11.1:M',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.11.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.11.1:PB","click",function(ev){$Control('a5.2.1.2.30.11.1:PB',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.11.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.11:DetailLink","click",function(ev){$Control('a5.2.1.2.30.11:DetailLink',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.11','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);ev.preventDefault();Matrix3.mbClick=true;})})();DeferInject.ShowOnParentHover("a5.2.1.2.30.11:IOHPnl");(function(){RegisterControlEvent("a5.2.1.2.30.11:IOHPnl","click",function(ev){$Control('a5.2.1.2.30.11:IOHPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.11','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterControlEvent("a5.2.1.2.30.11:SelectPnl","contextmenu",function(ev){$Control('a5.2.1.2.30.11:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.11','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);})})();$AddEvent($Control('a5.2.1.2.30.11:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME),'Event_SelectionChange','UpdateLists','BatchAttributesa5.1.4.5','UpdateSelection,800');document.getElementById("a5.2.1.2.30.12:SelectPnl")&&document.getElementById("a5.2.1.2.30.12:SelectPnl").addEventListener("contextmenu",function(ev){$Control('a5.2.1.2.30.12:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.12','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);;});(function(){RegisterImageEvent("a5.2.1.2.30.12.1:I","error",function(ev){Utils.ImgChangeSrc(document.getElementById('a5.2.1.2.30.12.1:I').querySelector('img'),'a5.2.1.2.30.12.1:I','Assets/V2/ChFVQzFTNTAwMDAwMDAwMDAwMxIGVFJNaXNjGiNcVFJNaXNjXDk5XGM5XDg2XGRlXDI1XE9SM01TQzI0LmdpZiIECAEQD2IIT1IzTVNDMjQ-~/vqjHbDNJReq1KmQ2/vqjHbDNJReq1KmQ2/OR3MSC24.gif',true);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.12.1:I","click",function(ev){$Control('a5.2.1.2.30.12.1:I',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.12.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();$Control('a5.2.1.2.30.12.1:I',ButtonCtrl.Const.CONTROL_NAME).SetFileNameOnDrop('"etd-JungDawoon-6340.pdf"');(function(){RegisterButtonEvent("a5.2.1.2.30.12.1:M","click",function(ev){$Control('a5.2.1.2.30.12.1:M',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.12.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.12.1:PB","click",function(ev){$Control('a5.2.1.2.30.12.1:PB',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.12.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.12:DetailLink","click",function(ev){$Control('a5.2.1.2.30.12:DetailLink',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.12','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);ev.preventDefault();Matrix3.mbClick=true;})})();DeferInject.ShowOnParentHover("a5.2.1.2.30.12:IOHPnl");(function(){RegisterControlEvent("a5.2.1.2.30.12:IOHPnl","click",function(ev){$Control('a5.2.1.2.30.12:IOHPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.12','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterControlEvent("a5.2.1.2.30.12:SelectPnl","contextmenu",function(ev){$Control('a5.2.1.2.30.12:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.12','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);})})();$AddEvent($Control('a5.2.1.2.30.12:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME),'Event_SelectionChange','UpdateLists','BatchAttributesa5.1.4.5','UpdateSelection,800');document.getElementById("a5.2.1.2.30.13:SelectPnl")&&document.getElementById("a5.2.1.2.30.13:SelectPnl").addEventListener("contextmenu",function(ev){$Control('a5.2.1.2.30.13:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.13','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);;});(function(){RegisterImageEvent("a5.2.1.2.30.13.1:I","error",function(ev){Utils.ImgChangeSrc(document.getElementById('a5.2.1.2.30.13.1:I').querySelector('img'),'a5.2.1.2.30.13.1:I','Assets/V2/ChFVQzFTNTAwMDAwMDAwMDAwMxIGVFJNaXNjGiNcVFJNaXNjXDk5XGM5XDg2XGRlXDI1XE9SM01TQzI0LmdpZiIECAEQD2IIT1IzTVNDMjQ-~/vqjHbDNJReq1KmQ2/vqjHbDNJReq1KmQ2/OR3MSC24.gif',true);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.13.1:I","click",function(ev){$Control('a5.2.1.2.30.13.1:I',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.13.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();$Control('a5.2.1.2.30.13.1:I',ButtonCtrl.Const.CONTROL_NAME).SetFileNameOnDrop('"etd-ZhangJunwe-1982.pdf"');(function(){RegisterButtonEvent("a5.2.1.2.30.13.1:M","click",function(ev){$Control('a5.2.1.2.30.13.1:M',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.13.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.13.1:PB","click",function(ev){$Control('a5.2.1.2.30.13.1:PB',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.13.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.13:DetailLink","click",function(ev){$Control('a5.2.1.2.30.13:DetailLink',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.13','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);ev.preventDefault();Matrix3.mbClick=true;})})();DeferInject.ShowOnParentHover("a5.2.1.2.30.13:IOHPnl");(function(){RegisterControlEvent("a5.2.1.2.30.13:IOHPnl","click",function(ev){$Control('a5.2.1.2.30.13:IOHPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.13','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterControlEvent("a5.2.1.2.30.13:SelectPnl","contextmenu",function(ev){$Control('a5.2.1.2.30.13:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.13','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);})})();$AddEvent($Control('a5.2.1.2.30.13:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME),'Event_SelectionChange','UpdateLists','BatchAttributesa5.1.4.5','UpdateSelection,800');document.getElementById("a5.2.1.2.30.14:SelectPnl")&&document.getElementById("a5.2.1.2.30.14:SelectPnl").addEventListener("contextmenu",function(ev){$Control('a5.2.1.2.30.14:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.14','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);;});(function(){RegisterImageEvent("a5.2.1.2.30.14.1:I","error",function(ev){Utils.ImgChangeSrc(document.getElementById('a5.2.1.2.30.14.1:I').querySelector('img'),'a5.2.1.2.30.14.1:I','Assets/V2/ChFVQzFTNTAwMDAwMDAwMDAwMxIGVFJNaXNjGiNcVFJNaXNjXDk5XGM5XDg2XGRlXDI1XE9SM01TQzI0LmdpZiIECAEQD2IIT1IzTVNDMjQ-~/vqjHbDNJReq1KmQ2/vqjHbDNJReq1KmQ2/OR3MSC24.gif',true);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.14.1:I","click",function(ev){$Control('a5.2.1.2.30.14.1:I',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.14.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();$Control('a5.2.1.2.30.14.1:I',ButtonCtrl.Const.CONTROL_NAME).SetFileNameOnDrop('"etd-QianYiwei-9661.pdf"');(function(){RegisterButtonEvent("a5.2.1.2.30.14.1:M","click",function(ev){$Control('a5.2.1.2.30.14.1:M',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.14.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.14.1:PB","click",function(ev){$Control('a5.2.1.2.30.14.1:PB',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.14.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.14:DetailLink","click",function(ev){$Control('a5.2.1.2.30.14:DetailLink',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.14','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);ev.preventDefault();Matrix3.mbClick=true;})})();DeferInject.ShowOnParentHover("a5.2.1.2.30.14:IOHPnl");(function(){RegisterControlEvent("a5.2.1.2.30.14:IOHPnl","click",function(ev){$Control('a5.2.1.2.30.14:IOHPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.14','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterControlEvent("a5.2.1.2.30.14:SelectPnl","contextmenu",function(ev){$Control('a5.2.1.2.30.14:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.14','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);})})();$AddEvent($Control('a5.2.1.2.30.14:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME),'Event_SelectionChange','UpdateLists','BatchAttributesa5.1.4.5','UpdateSelection,800');document.getElementById("a5.2.1.2.30.15:SelectPnl")&&document.getElementById("a5.2.1.2.30.15:SelectPnl").addEventListener("contextmenu",function(ev){$Control('a5.2.1.2.30.15:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.15','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);;});(function(){RegisterImageEvent("a5.2.1.2.30.15.1:I","error",function(ev){Utils.ImgChangeSrc(document.getElementById('a5.2.1.2.30.15.1:I').querySelector('img'),'a5.2.1.2.30.15.1:I','Assets/V2/ChFVQzFTNTAwMDAwMDAwMDAwMxIGVFJNaXNjGiNcVFJNaXNjXDk5XGM5XDg2XGRlXDI1XE9SM01TQzI0LmdpZiIECAEQD2IIT1IzTVNDMjQ-~/vqjHbDNJReq1KmQ2/vqjHbDNJReq1KmQ2/OR3MSC24.gif',true);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.15.1:I","click",function(ev){$Control('a5.2.1.2.30.15.1:I',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.15.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();$Control('a5.2.1.2.30.15.1:I',ButtonCtrl.Const.CONTROL_NAME).SetFileNameOnDrop('"etd-FlorianSan-4258.pdf"');(function(){RegisterButtonEvent("a5.2.1.2.30.15.1:M","click",function(ev){$Control('a5.2.1.2.30.15.1:M',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.15.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.15.1:PB","click",function(ev){$Control('a5.2.1.2.30.15.1:PB',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.15.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.15:DetailLink","click",function(ev){$Control('a5.2.1.2.30.15:DetailLink',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.15','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);ev.preventDefault();Matrix3.mbClick=true;})})();DeferInject.ShowOnParentHover("a5.2.1.2.30.15:IOHPnl");(function(){RegisterControlEvent("a5.2.1.2.30.15:IOHPnl","click",function(ev){$Control('a5.2.1.2.30.15:IOHPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.15','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterControlEvent("a5.2.1.2.30.15:SelectPnl","contextmenu",function(ev){$Control('a5.2.1.2.30.15:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.15','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);})})();$AddEvent($Control('a5.2.1.2.30.15:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME),'Event_SelectionChange','UpdateLists','BatchAttributesa5.1.4.5','UpdateSelection,800');document.getElementById("a5.2.1.2.30.16:SelectPnl")&&document.getElementById("a5.2.1.2.30.16:SelectPnl").addEventListener("contextmenu",function(ev){$Control('a5.2.1.2.30.16:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.16','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);;});(function(){RegisterImageEvent("a5.2.1.2.30.16.1:I","error",function(ev){Utils.ImgChangeSrc(document.getElementById('a5.2.1.2.30.16.1:I').querySelector('img'),'a5.2.1.2.30.16.1:I','Assets/V2/ChFVQzFTNTAwMDAwMDAwMDAwMxIGVFJNaXNjGiNcVFJNaXNjXDk5XGM5XDg2XGRlXDI1XE9SM01TQzI0LmdpZiIECAEQD2IIT1IzTVNDMjQ-~/vqjHbDNJReq1KmQ2/vqjHbDNJReq1KmQ2/OR3MSC24.gif',true);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.16.1:I","click",function(ev){$Control('a5.2.1.2.30.16.1:I',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.16.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();$Control('a5.2.1.2.30.16.1:I',ButtonCtrl.Const.CONTROL_NAME).SetFileNameOnDrop('"etd-NgJamesL-1712.pdf"');(function(){RegisterButtonEvent("a5.2.1.2.30.16.1:M","click",function(ev){$Control('a5.2.1.2.30.16.1:M',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.16.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.16.1:PB","click",function(ev){$Control('a5.2.1.2.30.16.1:PB',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.16.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.16:DetailLink","click",function(ev){$Control('a5.2.1.2.30.16:DetailLink',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.16','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);ev.preventDefault();Matrix3.mbClick=true;})})();DeferInject.ShowOnParentHover("a5.2.1.2.30.16:IOHPnl");(function(){RegisterControlEvent("a5.2.1.2.30.16:IOHPnl","click",function(ev){$Control('a5.2.1.2.30.16:IOHPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.16','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterControlEvent("a5.2.1.2.30.16:SelectPnl","contextmenu",function(ev){$Control('a5.2.1.2.30.16:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.16','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);})})();$AddEvent($Control('a5.2.1.2.30.16:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME),'Event_SelectionChange','UpdateLists','BatchAttributesa5.1.4.5','UpdateSelection,800');document.getElementById("a5.2.1.2.30.17:SelectPnl")&&document.getElementById("a5.2.1.2.30.17:SelectPnl").addEventListener("contextmenu",function(ev){$Control('a5.2.1.2.30.17:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.17','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);;});(function(){RegisterImageEvent("a5.2.1.2.30.17.1:I","error",function(ev){Utils.ImgChangeSrc(document.getElementById('a5.2.1.2.30.17.1:I').querySelector('img'),'a5.2.1.2.30.17.1:I','Assets/V2/ChFVQzFTNTAwMDAwMDAwMDAwMxIGVFJNaXNjGiNcVFJNaXNjXDk5XGM5XDg2XGRlXDI1XE9SM01TQzI0LmdpZiIECAEQD2IIT1IzTVNDMjQ-~/vqjHbDNJReq1KmQ2/vqjHbDNJReq1KmQ2/OR3MSC24.gif',true);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.17.1:I","click",function(ev){$Control('a5.2.1.2.30.17.1:I',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.17.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();$Control('a5.2.1.2.30.17.1:I',ButtonCtrl.Const.CONTROL_NAME).SetFileNameOnDrop('"etd-BharatiTus-6349.pdf"');(function(){RegisterButtonEvent("a5.2.1.2.30.17.1:M","click",function(ev){$Control('a5.2.1.2.30.17.1:M',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.17.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.17.1:PB","click",function(ev){$Control('a5.2.1.2.30.17.1:PB',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.17.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.17:DetailLink","click",function(ev){$Control('a5.2.1.2.30.17:DetailLink',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.17','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);ev.preventDefault();Matrix3.mbClick=true;})})();DeferInject.ShowOnParentHover("a5.2.1.2.30.17:IOHPnl");(function(){RegisterControlEvent("a5.2.1.2.30.17:IOHPnl","click",function(ev){$Control('a5.2.1.2.30.17:IOHPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.17','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterControlEvent("a5.2.1.2.30.17:SelectPnl","contextmenu",function(ev){$Control('a5.2.1.2.30.17:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.17','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);})})();$AddEvent($Control('a5.2.1.2.30.17:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME),'Event_SelectionChange','UpdateLists','BatchAttributesa5.1.4.5','UpdateSelection,800');document.getElementById("a5.2.1.2.30.18:SelectPnl")&&document.getElementById("a5.2.1.2.30.18:SelectPnl").addEventListener("contextmenu",function(ev){$Control('a5.2.1.2.30.18:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.18','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);;});(function(){RegisterImageEvent("a5.2.1.2.30.18.1:I","error",function(ev){Utils.ImgChangeSrc(document.getElementById('a5.2.1.2.30.18.1:I').querySelector('img'),'a5.2.1.2.30.18.1:I','Assets/V2/ChFVQzFTNTAwMDAwMDAwMDAwMxIGVFJNaXNjGiNcVFJNaXNjXDk5XGM5XDg2XGRlXDI1XE9SM01TQzI0LmdpZiIECAEQD2IIT1IzTVNDMjQ-~/vqjHbDNJReq1KmQ2/vqjHbDNJReq1KmQ2/OR3MSC24.gif',true);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.18.1:I","click",function(ev){$Control('a5.2.1.2.30.18.1:I',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.18.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();$Control('a5.2.1.2.30.18.1:I',ButtonCtrl.Const.CONTROL_NAME).SetFileNameOnDrop('"etd-GaduhAryaB-1692.pdf"');(function(){RegisterButtonEvent("a5.2.1.2.30.18.1:M","click",function(ev){$Control('a5.2.1.2.30.18.1:M',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.18.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.18.1:PB","click",function(ev){$Control('a5.2.1.2.30.18.1:PB',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.18.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.18:DetailLink","click",function(ev){$Control('a5.2.1.2.30.18:DetailLink',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.18','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);ev.preventDefault();Matrix3.mbClick=true;})})();DeferInject.ShowOnParentHover("a5.2.1.2.30.18:IOHPnl");(function(){RegisterControlEvent("a5.2.1.2.30.18:IOHPnl","click",function(ev){$Control('a5.2.1.2.30.18:IOHPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.18','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterControlEvent("a5.2.1.2.30.18:SelectPnl","contextmenu",function(ev){$Control('a5.2.1.2.30.18:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.18','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);})})();$AddEvent($Control('a5.2.1.2.30.18:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME),'Event_SelectionChange','UpdateLists','BatchAttributesa5.1.4.5','UpdateSelection,800');document.getElementById("a5.2.1.2.30.19:SelectPnl")&&document.getElementById("a5.2.1.2.30.19:SelectPnl").addEventListener("contextmenu",function(ev){$Control('a5.2.1.2.30.19:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.19','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);;});(function(){RegisterImageEvent("a5.2.1.2.30.19.1:I","error",function(ev){Utils.ImgChangeSrc(document.getElementById('a5.2.1.2.30.19.1:I').querySelector('img'),'a5.2.1.2.30.19.1:I','Assets/V2/ChFVQzFTNTAwMDAwMDAwMDAwMxIGVFJNaXNjGiNcVFJNaXNjXDk5XGM5XDg2XGRlXDI1XE9SM01TQzI0LmdpZiIECAEQD2IIT1IzTVNDMjQ-~/vqjHbDNJReq1KmQ2/vqjHbDNJReq1KmQ2/OR3MSC24.gif',true);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.19.1:I","click",function(ev){$Control('a5.2.1.2.30.19.1:I',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.19.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();$Control('a5.2.1.2.30.19.1:I',ButtonCtrl.Const.CONTROL_NAME).SetFileNameOnDrop('"etd-GhausUsman-9833.pdf"');(function(){RegisterButtonEvent("a5.2.1.2.30.19.1:M","click",function(ev){$Control('a5.2.1.2.30.19.1:M',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.19.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.19.1:PB","click",function(ev){$Control('a5.2.1.2.30.19.1:PB',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.19.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.19:DetailLink","click",function(ev){$Control('a5.2.1.2.30.19:DetailLink',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.19','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);ev.preventDefault();Matrix3.mbClick=true;})})();DeferInject.ShowOnParentHover("a5.2.1.2.30.19:IOHPnl");(function(){RegisterControlEvent("a5.2.1.2.30.19:IOHPnl","click",function(ev){$Control('a5.2.1.2.30.19:IOHPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.19','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterControlEvent("a5.2.1.2.30.19:SelectPnl","contextmenu",function(ev){$Control('a5.2.1.2.30.19:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.19','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);})})();$AddEvent($Control('a5.2.1.2.30.19:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME),'Event_SelectionChange','UpdateLists','BatchAttributesa5.1.4.5','UpdateSelection,800');document.getElementById("a5.2.1.2.30.20:SelectPnl")&&document.getElementById("a5.2.1.2.30.20:SelectPnl").addEventListener("contextmenu",function(ev){$Control('a5.2.1.2.30.20:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.20','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);;});(function(){RegisterImageEvent("a5.2.1.2.30.20.1:I","error",function(ev){Utils.ImgChangeSrc(document.getElementById('a5.2.1.2.30.20.1:I').querySelector('img'),'a5.2.1.2.30.20.1:I','Assets/V2/ChFVQzFTNTAwMDAwMDAwMDAwMxIGVFJNaXNjGiNcVFJNaXNjXDk5XGM5XDg2XGRlXDI1XE9SM01TQzI0LmdpZiIECAEQD2IIT1IzTVNDMjQ-~/vqjHbDNJReq1KmQ2/vqjHbDNJReq1KmQ2/OR3MSC24.gif',true);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.20.1:I","click",function(ev){$Control('a5.2.1.2.30.20.1:I',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.20.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();$Control('a5.2.1.2.30.20.1:I',ButtonCtrl.Const.CONTROL_NAME).SetFileNameOnDrop('"etd-KwonWillia-2822.pdf"');(function(){RegisterButtonEvent("a5.2.1.2.30.20.1:M","click",function(ev){$Control('a5.2.1.2.30.20.1:M',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.20.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.20.1:PB","click",function(ev){$Control('a5.2.1.2.30.20.1:PB',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.20.1','SELECT','F','I','Zoom_Light','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.30.20:DetailLink","click",function(ev){$Control('a5.2.1.2.30.20:DetailLink',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.20','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);ev.preventDefault();Matrix3.mbClick=true;})})();DeferInject.ShowOnParentHover("a5.2.1.2.30.20:IOHPnl");(function(){RegisterControlEvent("a5.2.1.2.30.20:IOHPnl","click",function(ev){$Control('a5.2.1.2.30.20:IOHPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.20','SELECT','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterControlEvent("a5.2.1.2.30.20:SelectPnl","contextmenu",function(ev){$Control('a5.2.1.2.30.20:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.30.20','OPEN_DYNAMIC_MENU','F','I','','GroupSelectionVS','DamViewDoc_w2lx','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);if(typeof(ev)!=='undefined')ev.stopPropagation();else if(typeof(window.event)!=='undefined')window.event.stopPropagation();ev.preventDefault?ev.preventDefault():(ev.returnValue=false);})})();$AddEvent($Control('a5.2.1.2.30.20:SelectPnl',PanelAdvancedCtrl.Const.CONTROL_NAME),'Event_SelectionChange','UpdateLists','BatchAttributesa5.1.4.5','UpdateSelection,800');$Control('a5.2.1.2:OR1ND000001481259',PanelAdvancedCtrl.Const.CONTROL_NAME).ActiveFold('open','Conceptually 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oParams={'MediaIdentifier':'[MEDIA_IDENTIFIER]','PopupID':'[POPUP_ID]','InstanceID':'[INSTANCE_ID]','VFormID':'[VFORM_ID]'};InitializeMediaAnnotatedTags(oParams);});});;(function(){RegisterButtonEvent("a5.2.1.2.22.1:K1","click",function(ev){$Control('a5.2.1.2.22.1:K1',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.22.1','SEARCH','F','I','2A3BLI859AVB','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();(function(){RegisterButtonEvent("a5.2.1.2.22.1:K2","click",function(ev){$Control('a5.2.1.2.22.1:K2',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2.1.2.22.1','SEARCH','F','I','2A3BLI859DU8','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();$Control('a5.2.1.2:OR1ND000001484032',PanelAdvancedCtrl.Const.CONTROL_NAME).ActiveFold('open','Tags','','','top','','','','PanelTitleFold','PanelTitleUnfold');$AddEvent($Control('a5.2.1.2:OR1ND000001484032',PanelAdvancedCtrl.Const.CONTROL_NAME),'Event_CloseFold','CLOSE_FOLD','SearchResult_VPage.DocumentRoot_VForm_0.TabMenuDoc.X0CND000000001773Multimedia_DbBO.OR1ND000001484032','');$AddEvent($Control('a5.2.1.2:OR1ND000001484032',PanelAdvancedCtrl.Const.CONTROL_NAME),'Event_OpenFold','OPEN_FOLD','SearchResult_VPage.DocumentRoot_VForm_0.TabMenuDoc.X0CND000000001773Multimedia_DbBO.OR1ND000001484032','');$AddAction($Control('a5.2.1.2:OR1ND000001484032',PanelAdvancedCtrl.Const.CONTROL_NAME),'Action_OpenFold','JS_OPEN_FOLD','a5.2.1.2','');$AddAction($Control('a5.2.1.2:PanelHeaderSeparatorOR1ND000001484032',PanelCtrl.Const.CONTROL_NAME),'Action_RemoveClass','OPEN_FOLD','SearchResult_VPage.DocumentRoot_VForm_0.TabMenuDoc.X0CND000000001773Multimedia_DbBO.OR1ND000001484032','InvisibleC');$AddAction($Control('a5.2.1.2:PanelHeaderSeparatorOR1ND000001484032',PanelCtrl.Const.CONTROL_NAME),'Action_AddClass','CLOSE_FOLD','SearchResult_VPage.DocumentRoot_VForm_0.TabMenuDoc.X0CND000000001773Multimedia_DbBO.OR1ND000001484032','InvisibleC');DeferInject.ShowOnParentHover("a5.2.1.2:ActionsPnlOR1ND000001484032");FixedPos.Activate('a5.2.1.2:EditModePnl',null,0,true,false,false,false,null,false,false,'',false,'','');if([].length>0){Utils.LoadScript([],function(){},null,false);}else{};(function(){RegisterButtonEvent("a5.2:PopupCommand","click",function(ev){$Control('a5.2:PopupCommand',ButtonCtrl.Const.CONTROL_NAME).SendEvent('a5.2','ClosePopup','F','I','','','','','','',false,'','','','',typeof(ev)==='undefined'?window.event:ev);})})();$AddEvent($Control('a5.2:GlobalPnl',PanelAdvancedCtrl.Const.CONTROL_NAME),'Event_Click','BodyClicked','Global','');Matrix3.ShowNotification("By 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  • Family Planning

Essays on Family Planning

Family planning is the technique of determining the number and spacing of children that a married couple wishes to have. Family planning entails the employment of programs to prevent pregnancy using contraception and other means of birth control (Schuiling & Likis, 2013). Family planning is a critical component of sexual and...

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The Neolithic Revolution and Urban Development Since the Neolithic Revolution, families have begun to face difficulties. This was the moment, as described, when humanity ceased to be nomadic hunters and decided to become sedentary farmers. The explanation behind this statement is that people shrunk in size due to social hierarchies and...

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Family Planning Essay Examples

The storm by kate chopin: the restoration of pleasure.

Family relationships possess a strong theme within American Literature. Whether loving or failing, relationships with siblings, children, and parents are the source of an individual’s development. The outcomes of family relationships and how essential a family is to all living humans is brought out clearly...

Changes in My Family & My Growing

They say one of the most important things in life is family. A family is always supposed to be there for you, there never supposed to leave your side, but sometimes they do. One of the hardest things I have had to deal with is...

The Problems with Family Planning in India

India has always been suffering from a couple of problems whether they are related to health, education or unemployment and the issue of family planning has been one of them. It has become a serious problem because of increasing people’s choice of fertility, preference of...

The Need to Include Family Planning into Health Care Plans

Annually 6.1 million pregnancies are recorded in the US and about 45% are reported as unplanned or untimed according to Healthy People 2020, a national program managed by the Office of Disease Prevention and Health Promotion. Healthy People 2020 sets national goals that, when met,...

Policy Context of Family Planning (national Policy) in India

Within this paper we will deal with development policy suggestions that reflect the role that education plays for fertility reduction and population control as well as the importance of making free and informed decisions by individuals and how that is most pressing need of the...

Moving to USA Or My New Favorite Place

Have you ever had your life completely changed in one simple question? The type of change that flips your world upside down, makes you rethink everything in your life, well I had, everything changed six years ago, on a Sunday afternoon. It was springtime, the...

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