essay about economic impact of globalization in your life

20 Ways How Globalization Affects Daily Life: An Insider’s Guide

By: Author Valerie Forgeard

Posted on September 14, 2023

Categories Society

Globalization is often considered an abstract concept, discussed in the realms of academia, business conferences, or geopolitical summits. Yet, its implications permeate the fabric of our daily lives in ways so integrated that they often go unnoticed.

From the morning cup of coffee from beans grown in a distant country to the smartphone in your hand assembled from parts sourced globally, the tendrils of globalization impact nearly every facet of our existence.

But what exactly is globalization, and how does it influence not just the macro but also the micro aspects of our lives? Is it merely the flow of goods across borders, or does it also encapsulate the exchange of cultures, ideas, and values? Most importantly, how do these global connections affect our choices, opportunities, and even challenges?

In this article, we’ll explore the multifaceted impact of globalization on our everyday experiences. We’ll delve into its effects on what we eat, how we work, the way we socialize, and even how we perceive the world.

Whether you view globalization as a force for good or a complex web of challenges, understanding its influence is crucial for navigating our interconnected world.

Key Takeaways

• Globalization has led to increased interaction and integration among people, companies, and governments worldwide, facilitated by international trade and investment aided by information technology.
• Globalization has had a significant impact on the economy and trade, making products from around the world readily available, but also subject to trade regulations and currency exchange rates.
• Cultural homogenization and the dominance of global brands are consequences of globalization, shaping perceptions about beauty, success, and lifestyle through international media and Hollywood movies.
• Technological advancements accelerated by globalization have both brought opportunities and created inequality in access to technology, emphasizing the need for tech equity and equal access for everyone.

20 Ways Globalization Influences Our Everyday Life

Globalization isn’t just a buzzword; it’s a complex, multifaceted phenomenon that has a direct impact on our daily lives.

Whether you’re sipping on Colombian coffee or chatting with a friend halfway across the globe via social media, you’re experiencing the ripple effects of a world more interconnected than ever.

But what are the subtle and not-so-subtle ways this grand integration of economies, cultures, and technologies affects us?

Here are 20 impactful examples:

• Food Choices : Gone are the days when local cuisine was all you could enjoy. Globalization lets you savor dishes from around the world without leaving your hometown.
• Clothing Trends : The clothes you wear may be designed in one country, manufactured in another, and sold worldwide, illustrating globalization’s role in shaping fashion.
• Job Opportunities : Access to global job markets offers diverse career opportunities, allowing talent and skill to move more freely across borders.
• Cultural Exchange : Festivals, art, and literature from various parts of the world are now more accessible, enriching local cultures.
• Healthcare : Medical advancements and techniques are shared rapidly between countries, improving healthcare globally.
• Entertainment : From Hollywood movies to K-pop, entertainment is one of the most widely shared cultural exports.
• Technology : Innovations and gadgets are universally available, making tech one of globalization’s most tangible impacts on daily life.
• Internet Access : The global reach of the internet allows for immediate communication and information sharing, impacting everything from social relations to education.
• Travel : Globalization has made international travel more common, opening up the world for exploration and intercultural experiences.
• Economic Fluctuations : Events in one part of the world can influence your local economy, impacting everything from job stability to prices at the supermarket.
• Consumer Goods : The wide array of products available in supermarkets and stores showcases how global supply chains bring diverse goods to your doorstep.
• Education : Globalization impacts curricula, diversifying the topics studied and providing a more comprehensive worldview.
• Social Issues : Awareness and activism have become global, with campaigns and movements reaching beyond borders to effect change.
• Financial Markets : Your investment portfolio is likely influenced by global events, adding both opportunities and risks.
• Immigration : An interconnected world means more diverse communities, enriching local culture but also sparking debates about immigration policy.
• Language : English has become the global lingua franca, influencing local languages and making English proficiency a useful global skill.
• Climate Change : Environmental issues are now global concerns, requiring international cooperation for solutions.
• Political Influence : Global organizations like the UN and WHO have significant sway over local policies and public health.
• Resource Distribution : Globalization affects how natural resources are allocated and consumed, impacting sustainability.
• Online Shopping : From global giants like Amazon to small businesses with international shipping, you can buy almost anything from anywhere.

Understanding these influences will make you more aware of how you are a part of this intricate global web and help you navigate the opportunities and challenges that come with it.

The Concept and Evolution of Globalization

Let’s delve into the concept and evolution of globalization. It’s not as complex as you’d think. Essentially, it is a process that involves the interaction and integration among people, companies, and governments worldwide. It’s fostered by international trade and investment aided by information technology.

However, there are political implications. As countries become more interconnected, national sovereignty can be compromised, leading to a globalization backlash.

This isn’t always negative, though. Economic data shows that globalization has played an integral part in poverty reduction in many parts of the world. But let’s remember: freedom is paramount – we must ensure our global ties don’t infringe upon this right while striving for prosperity.

Now that we’ve understood its basic premise, let’s explore further how this phenomenon impacts the economy and trade.

Impact of Globalization on Economy and Trade

In our exploration of the impact of globalization on economy and trade, we’ll delve into the nuances of global trade expansion and how it’s driving economic growth.

We’re set to dissect the symbiotic relationship between these two critical aspects, analyzing hard data to reveal patterns and trends that may not be immediately apparent.

Our discussion will combine a clear, concise writing style with an analytical interpretation of economic data, offering in-depth insights into this complex facet of global affairs.

Global Trade Expansion

Global trade expansion has drastically changed our daily lives, making products from around the world readily available. We’ve benefitted from an array of goods and services previously unimaginable. Our choices aren’t limited by geographical boundaries anymore. Yet, it’s not without its strings attached.

Trade regulations play a crucial role in this process, often acting as double-edged swords. They can protect us from substandard imports but may also restrict market freedom.

Currency exchange rates too have a significant impact on global trade dynamics. A fluctuating currency can affect purchasing power significantly, dictating what we can afford and when.

Understanding these complexities is vital for maintaining economic stability and personal financial health amidst the ever-evolving global marketplace.

Economic Growth Influence

Economic growth’s influence on society can’t be overstated, as it directly impacts job creation, increases the standard of living, and aids in poverty reduction. We’re all integrated into this global system where economic affairs influence our daily lives.

• Job Creation: With economic growth, businesses thrive and expand leading to more employment opportunities.
• Standard of Living: As economies grow, incomes generally increase which enhances our living standards.
• Poverty Reduction: Economic growth fuels poverty reduction initiatives through wealth redistribution mechanisms.

Inflation control is crucial for stable economic progression; unchecked inflation can erode purchasing power and destabilize economies. On the other hand, poverty reduction remains a key goal for any economy because we believe in freedom from want. Understanding these factors helps us appreciate how closely our lives are linked with global economics.

Globalization and Its Influence on Culture

In the vortex of globalization, we’re witnessing an increasing trend towards cultural homogenization. This phenomenon is largely influenced by the omnipotent reach of global media. This sweeping wave isn’t just reshaping our existing identities, but it’s also leading to an alarming loss of tradition. Local customs and practices are being overshadowed or replaced altogether.

Analyzing this from an economic perspective, there’s a palpable shift in consumer behavior patterns globally. This shift is reinforcing the homogenization process further. It is something we need to delve into with urgency.

Cultural Homogenization

You’re likely noticing a trend towards cultural homogenization in your daily life, aren’t you? This is the reality of our globalized world.

We’re witnessing an intensification of cultural assimilation and a worrying diversity erosion.

• Global Brands Domination : Multinational corporations are spreading their influence worldwide, resulting in identical lifestyles from New York to Nairobi.
• Media Influence : International media and Hollywood movies are shaping our notions about beauty, success, and lifestyle.
• Language Uniformity : English has emerged as the de facto global language, threatening linguistic diversity.

While this simplifies communication and synchronization, it also jeopardizes local cultures’ uniqueness.

Hence we must strive for balance – cherishing globalization’s convenience without surrendering our distinct cultural identities entirely to its march.

Global Media Influence

Hollywood’s influence can’t be denied, shaping perceptions of success and beauty across the globe. We’ve seen this power magnified by the digital divide, where access to global media is skewed in favor of developed nations. This disparity is a stark reminder that while we’re more connected than ever, not all connections are equal.

Media censorship adds another layer of complexity. We face a struggle between freedom of expression and safeguarding cultural norms. As our world becomes more interconnected through global media, it’s crucial for us to strike a balance between embracing new ideas and maintaining our unique cultural identities.

Yet, with each passing day, we witness how global media influence potentially leads to the loss of tradition.

Loss of Tradition

Traditions aren’t as revered as they once were, with global media often prioritizing modern trends over preserving cultural heritage. This shift has profound impacts on our societies, particularly in relation to traditional crafts preservation and the local folklore significance.

We’re witnessing a decline in age-old craft techniques due to lack of commercial appeal; artisans are forced to adopt mass production methods to survive.

Local customs and lore lose their relevance when overshadowed by popular global narratives.

The undermining of unique traditions can lead to cultural homogenization, a loss that’s irreversible.

We must promote the importance of preserving tradition while embracing progress. Let’s champion for economic policies that support local artisans, encourage folklore education, and resist the erasure of our diverse cultures.

The Role of Globalization in Technology Advancements

In today’s world, it’s hard to ignore how globalization has sped up technological advancements, dramatically changing our daily life. We’re seeing a growing digital divide; the gap between those who have easy access to technology and those who don’t.

This technological dependency is both a blessing and a curse. It brings unprecedented access to information and opportunities, yet it also fosters inequality among nations and individuals. For instance, citizens of developed countries enjoy high-speed internet and advanced devices, while many in developing nations lack basic digital resources.

We must strive for tech equity, ensuring that everyone benefits from these innovations regardless of their geographical location or socio-economic status. Only then can we truly harness the power of globalization without compromising freedom or equality.

Effects of Globalization on Environment and Sustainability

You’re probably aware that the rapid pace of development can sometimes come at a cost to our environment and sustainability efforts. Globalization, while offering numerous benefits, has also led to significant challenges for our planet.

• Climate change – We’re seeing an increase in greenhouse gas emissions as industries expand globally, leading to rising temperatures.
• Biodiversity loss – The rampant exploitation of natural resources is resulting in the extinction of numerous species.
• Resource depletion – Our high-consumption lifestyle is depleting finite resources at an alarming rate.

We must understand these effects and act responsibly. As advocates for freedom, we should strive for a balance between progress and preservation; economic growth shouldn’t compromise our home’s longevity.

Globalization and Its Implications on Health and Lifestyle

It’s crucial to note that the spread of ideas and practices through globalization can also significantly impact health and lifestyle choices worldwide. We’ve seen a global diet emerge, leading to health disparities among populations.

As we analyze this economic data, we’re reminded of our freedom to make individual choices, but also the need for collective responsibility in addressing these disparities. This interplay between personal liberty and public health is a complex issue shaped by globalization. As we venture into future prospects: globalization in the coming decades, let’s consider its potential impacts on our global society.

Future Prospects: Globalization in the Coming Decades

Looking ahead, we’ll likely see even more dramatic shifts in health and lifestyle as a result of continued worldwide connectivity. This change will greatly impact our global workforce and immigration policies.

• Global Workforce: As virtual workspaces become commonplace, we’re looking at a future where geographical boundaries won’t limit job opportunities. This could mean greater freedom to choose where we live and work.
• Immigration Policies: We anticipate these changes will trigger re-evaluation of immigration policies worldwide. The focus may shift from physical migration to digital competence.
• Health & Lifestyle: With globalization promoting widespread access to diverse food and lifestyle choices, we could see significant shifts in global health trends.

In this interconnected era, it’s essential that we adapt swiftly while preserving our values of freedom and individuality.

In sum, we’ve seen globalization’s significant impact on our lives. It’s shaped our economies, cultures, tech advancements, and even health.

While it brings opportunities for growth, it also presents challenges like environmental sustainability.

As we move forward, understanding these complexities is crucial to navigate the global arena effectively.

Let’s continue to analyze and adapt to ensure a balanced and sustainable future in this interconnected world.

Frequently Asked Questions

How has globalization affected the education system worldwide.

We’ve seen globalization greatly impact education through cultural exchange and increased technological accessibility. It’s broadened our perspectives, offered new learning tools, and connected us globally despite geographical boundaries.

What Is the Impact of Globalization on Local Businesses and Industries?

We’ve observed that globalization intensifies market competition, often challenging local businesses. It also shifts consumer preferences, making us adapt to global trends. Yet, it offers opportunities for growth if we can navigate these changes wisely.

How Does Globalization Influence Immigration Policies Across Different Countries?

We’ve observed that globalization influences policy evolution, altering immigration laws globally. It promotes cultural integration, and these changes directly reflect in our societies, impacting who we welcome and how we interact together.

How Has Globalization Affected Income Disparity and Wealth Distribution?

We’ve seen how trade liberalization, a result of globalization, has impacted income disparity. It’s led to global inequality, with wealth concentrated among the few while many others struggle. We must analyze this further.

Can Globalization Have an Impact on Political Systems and Governance?

Absolutely, we’re seeing globalization’s influence on nationalism and international diplomacy dynamics. It’s reshaping political systems and governance worldwide, impacting how nations interact and manage themselves in this interconnected world.

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globalization

globalization , integration of the world’s economies, politics, and cultures. German-born American economist Theodore Levitt has been credited with having coined the term globalization in a 1983 article titled “The Globalization of Markets.” The phenomenon is widely considered to have begun in the 19th century following the advent of the Industrial Revolution , but some scholars date it more specifically to about 1870, when exports became a much more significant share of some countries’ gross domestic product (GDP). Its continued escalation is largely attributable to the development of new technologies—particularly in the fields of communication and transportation—and to the adoption of liberal trade policies by countries around the world.

Social scientists have identified the central aspects of globalization as interconnection, intensification, time-space distanciation (conditions that allow time and space to be organized in a manner that connects presence and absence), supraterritoriality, time-space compression, action at a distance, and accelerating interdependence. Modern analysts also conceive of globalization as a long-term process of deterritorialization—that is, of social activities (economic, political, and cultural) occurring without regard for geographic location. Thus, globalization can be defined as the stretching of economic, political, and social relationships in space and time. A manufacturer assembling a product for a distant market , a country submitting to international law , and a language adopting a foreign loanword are all examples of globalization.

Of course history is filled with such occurrences: Chinese artisans once wove silk bound for the Roman Empire ( see Silk Road ); kingdoms in western Europe honoured dictates of the Roman Catholic Church ; and English adopted many Norman French words in the centuries after the Battle of Hastings . These interactions and others laid the groundwork for globalization and are now recognized by historians and economists as important predecessors of the modern phenomenon. Analysts have labeled the 15th to 18th century as a period of “proto-globalization,” when European explorers established maritime trade routes across the Atlantic and Pacific oceans and encountered new lands. Integration prior to this time has been characterized as “archaic globalization.”

What distinguishes the process of modern globalization from those forms of global integration that preceded it are its pace and extent. According to some academics, three distinct eras of modern globalization can be identified, each of them marked by points of sudden acceleration in international interaction. Under this scheme, the “first globalization” era refers to the period between approximately 1870 and 1914, during which new transportation and communication technology decreased or eliminated many of the drawbacks to distance. The “second globalization” era is said to have lasted from roughly 1944 to 1971, a period in which an international monetary system based on the value of the U.S. dollar facilitated a new level of trade between capitalist countries. And the “third globalization” era is thought to have begun with the revolutions of 1989–90, which opened the communist Eastern bloc to the flow of capital and coincided with the creation of the World Wide Web . Some scholars argue that a new period of globalization, the “fourth globalization,” is underway, but there is little consensus on when this era began or whether it is truly distinct enough to merit its own designation.

New levels of interconnectedness fostered by globalization are credited for numerous benefits to humanity. The spread of industrial technology and the resulting increase in productivity have contributed to a reduction in the percentage of the world’s population living in poverty. The sharing of medical knowledge has dramatically decreased the incidence of once-feared diseases and even eliminated smallpox. And economic interdependence among countries discourages war between them.

However, the implementation of globalization has been much criticized, leading to the development of the anti-globalization movement. Opponents of globalization—or at least, globalization in its present form ( see neoliberal globalization )—represent a variety of interests on both the political left and right. Labour unions disdain multinational companies’ ability to move their operations to countries with cheaper labour; Indigenous peoples rue the difficulty of maintaining their traditions; and leftists object to the neoliberal character of the new world economy, arguing that the capitalist logic on which they contend globalization is based leads to asymmetrical power relations (both internationally and domestically) and transforms every aspect of life into a commodity. Right-wing critics of globalization believe that it threatens both national economies and national identity. They advocate national control of a country’s economy and rigidly restricted immigration.

Globalization has also produced effects that are more universally worrisome. Expanded transportation networks facilitate not only increased trade but also the spread of diseases. Undesirable trade, such as human trafficking and poaching, has flourished alongside legitimate commerce. Moreover, the pollution generated by the world’s modernization has resulted in global warming and climate change , threatening Earth’s very habitability.

Whether globalization will adapt to these problems remains to be seen, but it is already changing again. For example, globalization began in the 19th century with an explosion in exports, but, even before the COVID-19 pandemic that swept through the world in 2020 resulted in global lockdowns, trade as a share of many countries’ GDP had fallen. It can be argued that the global supply chains today rely more on knowledge than on labour . And services now constitute a larger share of the global economy than goods. A “fourth globalization” might indeed be here—or at least on the way.

What Is Globalization?

Explore examples of globalization to understand the benefits and challenges of our increasingly interconnected world in this video.

What are the effects of globalization?

We live in an increasingly interconnected and interdependent world. The growing interdependence of the world’s economies, cultures and populations—or "globalization"—touches every part of our lives, from the products we buy to the food we eat to the ways we communicate with one another. Globalization is also tied to some of the other biggest issues we face in the modern era, including climate change , trade , terrorism , and the spread of deadly diseases.

The intertwining of countries and markets all over the world has both benefits and downsides, so policies that support integration have both proponents and detractors. No matter which side you’re on, globalization is simply a reality of modern life; therefore, it’s important to understand how it affects us and the choices we make.

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The State of Globalization in 2021

• Steven A. Altman
• Caroline R. Bastian

Trade, capital, and information flows have stabilized, recovered, and even grown in the past year.

As the coronavirus swept the world, closing borders and halting international trade and capital flows, there were questions about the pandemic’s lasting impact on globalization. But a close look at the recent data paints a much more optimistic picture. While international travel remains significantly down and is not expected to rebound until 2023, cross-border trade, capital, and information flows have largely stabilized, recovered, or even grown over the last year. The bottom line for business is that Covid-19 has not knocked globalization down to anywhere close to what would be required for strategists to narrow their focus to their home countries or regions.

Cross-border flows plummeted in 2020 as the Covid-19 pandemic swept the world, reinforcing doubts about the future of globalization. As we move into 2021, the latest data paint a clearer — and more hopeful — picture. Global business is not going away, but the landscape is shifting, with important implications for strategy and management.

• Steven A. Altman is a senior research scholar, adjunct assistant professor, and director of the DHL Initiative on Globalization at the NYU Stern Center for the Future of Management .
• CB Caroline R. Bastian is a research scholar at the DHL Initiative on Globalization.

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The impact of economic, social, and political globalization and democracy on life expectancy in low-income countries: are sustainable development goals contradictory?

• Published: 18 January 2021
• Volume 23 , pages 13508–13525, ( 2021 )

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• Arif Eser Guzel   ORCID: orcid.org/0000-0001-5072-9527 1 ,
• Unal Arslan 1 &
• Ali Acaravci 1  

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The 17 Sustainable Development Goals announced by the United Nations are important guides for the development processes of developing countries. However, achieving all of these goals is only possible if the goals are consistent with each other. It has been observed in the literature that possible contradictions between these goals are ignored. Therefore, the main purpose of this study is to investigate whether two sustainable development goals (SDGs) of the UN are contradictory or supporting each other in low-income countries. These SDGs are “Good Health and Well-Being” (SDG3) and “Partnerships for the Goals” (SDG17). For this purpose, the role of globalization and democracy in life expectancy is empirically investigated in 16 low-income countries over the period 1970–2017. While globalization has been used as an indicator of the partnership between countries, democracy has been used as an indicator of accountability and cooperation between governments and societies. According to estimations of the continuous-updated fully modified (CUP-FM) and bias-adjusted ordinary least squares (BA-OLS), globalization and its subcomponents such as economic, social, and political globalization affect life expectancy positively. Democracy also increases life expectancy in those countries. The GDP per capita is also used as a control variable. Our results show that a higher level of per capita income is positively associated with higher levels of life expectancy. In conclusion, no contradiction was found between SDG3 and SDG17 in those countries. Achieving a healthier society requires economic, social, and political integration between governments and societies.

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1 Introduction

The main problem of economics is to increase economic development and social welfare. Increasing the social welfare level is a complex process that depends on economic and non-economic factors. Achieving economic development or increasing the level of welfare depends on achieving and sustaining the main objectives in political, economic, and social areas. Today, development is no longer a process that can be realized through policies implemented by governments alone. It requires cooperation between governments and societies. While cooperation between different countries requires globalization in the economic, social, and political fields, democracy is the way to ensure cooperation between governments and societies.

Health is one of the most important indicators of social welfare. Besides being one of the indicators of development, it is one of the determinants of human capital formation which is necessary for economic development. Individuals living in developed countries live a healthier life compared to those living in less developed countries. While the differences between the levels of development of countries determine the health conditions, at the same time, improvement of public health paves the way for economic development. Healthy people have higher opportunities to earn a higher income than unhealthy people. Individuals with higher incomes can benefit from better nutrition and access to health services. Therefore, economic development and improvement of health conditions represent a two-way process. In this context, the determination of the variables that will enable the achievement of the goal of a healthier society is especially important in explaining the economic differences between developing countries and developed countries. Because of its importance, health-related goals have an important place both among the Millennium Development Goals (MDGs) and the Sustainable Development Goals (SDGs) announced by the United Nations.

The world leaders with the support of international funding organizations announced the Millennium Declaration in September 2000 at the United Nations Headquarters in New York. They committed their nations to a new international partnership to achieve some development targets having with the final deadline of 2015. The Millennium Development Goals (MDGs) consist of 8 goals, 21 targets, and 60 related indicators covering a wide spectrum of development areas such as “End Poverty and Hunger (MDG 1),” “Universal Education (MDG 2),” “Gender Equality (MDG 3),” “Child Health (MDG 4),” “Maternal Health (MDG 5),” “Combat HIV/AIDS (MDG 6),” “Environmental Sustainability (MDG 7),” and “Global Partnership (MDG 8).” As we see, three of the goals are directly associated with the health status of the people. In the deadline of 2015, according to “Health in 2015: From MDGs to SDGs” report of the World Health Organization (WHO), there are improvements in health-related targets such as child health, maternal health, and combat with HIV/AIDS. Globally, HIV, tuberculosis, and malaria targets have been met. Also, the child mortality rate was reduced by 53% and maternal mortality by 43% (WHO 2016 ). On a global view, although health-related problems are largely resolved, the situation is not as good for low-income countries. As shown in Fig.  1 , significant differences exist between developing countries and developed countries in achieving health-related goals.

Source Halisçelik and Soytas (2015)

World Bank Income Groups’ MDGs Index Values in 2015.

According to MDGs, indexes in the context of health status show that the goals desired in terms of health are not attained in low-income countries compared to other income groups. After the deadline of MDGs, the United Nations has announced 17 SDGs, and “Good Health and Well-Being” takes its place as the third goal. Since achieving these goals requires the cooperation of countries and societies, “Partnership for the Goals” is determined as the seventeenth SDG. According to the United Nations ( 2019 ), the main indicators of global partnerships are trade, foreign direct investments, remittances, financial integration technology transfers, data monitoring and accountability, internet usage, and political integration among countries. In our study, while globalization is used as a proxy indicator of global cooperation, democracy is an indicator of cooperation between societies and governments. Democracy also refers to accountability levels of governments.

Globalization can simply be defined as the process of international integration which has economic, social, and political dimensions (Dreher 2006 ). Many countries have adapted to this process and have enjoyed the welfare effects of globalization by implementing necessary economic and institutional transformation. However, some countries still suffer from poor adaption to global markets. According to the KOF Globalization Index published by the Swiss Economic Institute ( 2020 ), low-income countries have the lowest globalization level compared to other income groups. They also suffer from bad health conditions such as low life expectancy, communicable diseases, and high mortality rates according to MDG indexes given above. At this point, the literature is divided into two parts. The first one blames globalization and argues that poverty and as a result of this, low life expectancy derives from the inequality created by globalization itself (Buss 2002 ). The second group mostly focuses on the benefits of free trade, capital mobility, and technology transfers (Rao and Vadlamannati 2011 ). The low-income countries also suffer from low institutional quality in the context of democracy and political rights. According to Freedom House’s list of electoral democracies, the countries without electoral democracy are mostly the low-income countries in the Middle East, North Africa, Sub-Saharan Africa, and Southeast Asia (Freedom House 2019 ).

The main question of our study is to determine whether the problem of low life expectancy in low-income countries is due to the low levels of globalization and weak political institutions in these countries. To answer this question, the role of economic, social, and political globalization and democracy in life expectancy in those countries is empirically investigated. This study provides several contributions to previous literature. First, we provide a new perspective in the context of sustainable development goals. Previous studies mostly focused on how to achieve SDGs, while possible conflicts between the goals were mostly ignored especially in the context of health. Such conflicts between sustainable development goals in the literature have mostly focused on the impact of economic growth and globalization on the sustainable environment (Ulucak and Bilgili 2018 ; Zafar et al. 2019a ). Those studies are mostly addressed the relationship between SDG7, SDG8, SDG13, and SDG17 (Zafar et al. 2019b ). To the best of our knowledge, it is the first study that investigates the relationship between SDG3 and SDG17. It is also important to examine this relationship in low-income countries since they still suffer from low levels of life expectancy, less adaptation to globalization, and poor democratic institutions compared to other income groups. Previous works mostly provide global evidence, while only a few studies focus on less developed countries. Achieving these 17 goals put forward by the United Nations at the same time is possible only if these goals do not conflict with each other. Second, empirical works in previous literature consist of traditional estimation methods called first-generation tests. In the analysis of panel data, the estimators considering cross-sectional dependence are called the second-generation estimators. Cross-sectional dependency simply refers to the situation when the shock that occurs in one country affects other countries as well. The source of this problem encountered in panel data analysis is the economic, financial, and political integration among countries (Menyah et al. 2014 ). The ignorance of cross-sectional dependence results in biased and inconsistent estimates and wrong inferences (De Hoyos and Sarafidis 2006 ; Chudik and Pesaran 2013 ). Low-income countries are mostly African countries where there is a rising trend in terms of integration to global markets and institutions (Beck et al. 2011 ). Using estimation techniques that consider cross-sectional dependence in those countries prevents misleading results. As the literature is divided into two parts about the effects of globalization on human well-being, fresh evidence via robust estimation methods is required in order to provide proper policy implications. To fill this gap, our work provides second-generation estimations.

2 Literature review

To improve the health conditions of a country, the welfare of the poor should be improved as well. Poverty is detrimental to access to health services. Therefore, the positive impact of globalization on health first emerged with its positive effects on economic growth (Labonté et al. 2009 : 10). The effects of globalization on growth were mostly driven by free trade, international specialization, technology transfers, knowledge spillovers, and competitive markets. It also offers broader opportunities for entrepreneurs and paves the way for innovation (Grossman and Helpman 2015 : 101). As expected, poverty rates significantly reduced in the last two decades because of the integration of developing economies to global markets (Harrison 2006 ). When trade liberalization and income increases are considered together, people's access to treatments and medications can be easier and life expectancy may be prolonged. However, we should consider other possibilities in the context of spreading communicable diseases. As Deaton ( 2004 ) mentioned before, access to cheap and easy travel can increase the rate of spread of communicable diseases. Migration is also another fact to take into account. Particularly rising sexual tourism and migrant sex workers increase the spread of sexually transmitted diseases such as HIV/AIDS. But today there are improved treatment methods to solve these problems. Even HIV-infected people can survive with antiretroviral therapy, and it also reduces sexual transmission of the infection (Dollar 2001 ; Cohen et al. 2011 ). Due to the high cost of advanced drugs as in the case of antiretroviral therapy, it should be accepted that people in low-income countries will have trouble accessing the drugs (Buss 2002 ). There are approaches known as the unequal exchange that globalization increases inequality among countries and that developed countries are more profitable from the globalization process (Love, 1980 ). It may also increase domestic income inequality. There are a few studies that came with the conclusion that globalization rises inequality (Dreher and Gaston 2008 ; Ha 2012 ), but Bergh and Nilsson ( 2010 ) suggested a different perspective. Due to extensive R&D investments and scientific activities, developed countries can find new treatment methods and supply advanced drugs. The only way to access that knowledge and these drugs are trade and integration between developed and underdeveloped countries. Globalization can play an important role in improving the health conditions of low-income countries to the extent that it can provide these linkages. One should also notice that wider markets and higher returns are important factors that motivate entrepreneurs. Buss ( 2002 ) claimed that the intellectual property rights of advanced drugs belong to private firms in developed countries, and because of the strong protection of property rights, less developed countries have trouble accessing them. However, rising global human rights became an important step to advance public health issues against economic concerns in the trade of pharmaceutical products.

The human rights approach focuses on how globalization affected disadvantaged people worldwide (Chapman 2009 ). It is an important instrument in the suppression of the inequality created by economic globalization. Because of the pressure on the government about human rights, disadvantaged people are becoming able to meet their basic human needs. The role of political globalization on this point is forcing governments to adopt global institutions. It increases the number of international organizations in which a country is a member. This makes governments more accountable in the global area and forcing them to pay attention to protect human rights. Gelleny and McCoy ( 2001 ) also claimed that integration among countries leads to political stability. Therefore, governments' tendency to violate human rights in order to maintain their power becomes lesser. Moreover, as social dimensions of globalization expand and communication opportunities among people in different countries increase, the possibility of human rights violations being discovered by other people increases (Dreher et al. 2012 ). Governments that know the international sanctions required by these violations have to be more cautious against human rights violations. Social globalization also provides cultural integration among the world’s people, and it changes lifestyles and consumption patterns worldwide. The consequences of this change can have positive and negative effects. First, increased urban population and sedentary lifestyles may enhance prepared food consumption and reduce daily movements which result in rising obesity and diabetes (Hu 2011 ). Second, although rapidly increasing consumption options and diversity are known as welfare indicators, they also can cause stress which is known as an important determinant of many diseases both psychological and physical (Cutler et al. 2006 ). Third, due to knowledge spillovers and communication technology, people can learn about healthy nutrition and protection from communicable diseases. Thus, unhealthy but traditional consumption patterns and lifestyles may change. These days we experience the coronavirus epidemic and we see once again the importance of globalization. Countries are aware of infectious diseases in different parts of the world in a very short time and can take measures to stop the spread of the virus. The changes created by social and political globalization play a major role in this emergence. Social globalization enables people in very remote areas of the world to communicate with each other, while political globalization forces governments to be transparent about infectious diseases.

With economic globalization, increased economic activity may lead to urbanization. One may think about unhealthy conditions of an urban area such as environmental degradation, air and water pollution, higher crime rates, and stress which reduce life expectancy. However, according to Kabir ( 2008 ), people living in an urban area can benefit from improved medical care, easy access to pharmacy, and to the hospitals that use higher technology. They can also get a better education and can enjoy better socioeconomic conditions.

Democracy can be considered as another determinant of life expectancy. In order to solve the health problems of the poor, people should draw the attention of the government. Sen ( 1999 ) claimed that the instrumental role of democracy in solving problems is enabling people to express and support their claims. Thus, the attention of politicians can be attracted to the problems of the poor. Politicians who have never tasted poverty do not have the urge to take action against the problems of the poor at the right time. Another linkage can be established through accountability (Besley and Kudamatsu 2006 ). In democracies, governments have an obligation to account to citizens for what purposes the resources were used. Thus, resources can be allocated to solve important public issues such as quality of life, communicable diseases, and mortality.

Compared to theoretical discussions, previous literature provides a lack of empirical evidence. Barlow and Vissandjee ( 1999 ) examined the determinants of life expectancy with cross-sectional data available in 1990 for 77 developed and developing countries. According to regression results, per capita income, literacy rate, and lower fertility are important determinants of life expectancy while living in a tropical area decreasing it. Another finding in this study shows that health expenditures in those countries failed to increase life expectancy. Following this study, Or ( 2000 ) analyzed the determinants of health outcomes in 21 industrialized OECD countries covering the period 1970–1992. This study presents gender-specific estimates separately for men and women. Fixed effects estimation results reveal a significant negative relationship between public health expenditure and women's premature death. The relationship also occurs for men, while GDP per capita dropped from the regression model due to high collinearity. Furthermore, GDP per capita and the proportion of white-collar workers reduce premature death for both men and women, while alcohol consumption increases it.

Franco et al. ( 2004 ) analyzed the impact of democracy on health utilizing political rights data of 170 countries. Empirical results show that people living in democracies enjoy better health conditions such as longer life expectancy, better maternal health, and lower child mortality. Following this, Besley and Kudamatsu ( 2006 ) investigated the nexus between democracy and health outcomes utilizing panel data from the 1960s to the 2000s. In their study, they used life expectancy at birth and child mortality variables for 146 countries as indicators of health outcomes. According to results, democracy has a positive and significant effect on life expectancy at birth and it also reduces child mortality. Safaei ( 2006 ) also investigated the impact of democracy on life expectancy and adult and child mortality rates with the data of 32 autocratic, 13 incoherent, and 72 democratic countries. According to the OLS estimation results, improving democratic institutions increases life expectancy and reduces child and adult mortality rates. Another finding of the study is that socioeconomic factors such as income, education, and access to health care services are important determinants of health status.

Owen and Wu ( 2007 ) found a positive relationship between trade openness and health outcomes using a panel of 219 countries. Health outcome measures of this study are infant mortality and life expectancy. Trade openness is one of the most important dimensions of globalization.

Kabir ( 2008 ) analyzed the determinants of life expectancy in 91 developing countries. Empirical results obtained are the opposite of the expected. According to results, per capita income, literacy rate, per capita health expenditure, and urbanization have no significant impact on life expectancy. On the other hand, the number of physicians has a positive and significant impact on life expectancy, while malnutrition reduces it. As a dummy variable, living in Sub-Saharan Africa is another factor that reduces life expectancy due to communicable diseases like HIV, malaria, etc.

Bergh and Nilsson ( 2010 ) used a panel of 92 countries in the period 1970–2005 to investigate the relationship between globalization and life expectancy. They used social, political, and economic globalization data separately, and the results show a significant positive effect of economic globalization on life expectancy at birth. But no significant relationship was found between social globalization, political globalization, and life expectancy. They also used average years of education, urban population, the number of physicians, and nutrition as control variables and the effect of economic globalization was still positive and significant.

Welander et al. ( 2015 ) examined the effects of globalization and democracy on child health in their panel data analysis for 70 developing countries covering the period 1970–2009. According to the results, globalization significantly reduces child mortality. In addition, democracy improves child health and it also increases the beneficial effects of globalization on child health. Following this study, Tausch ( 2015 ) analyzed the role of globalization in life expectancy in 99 countries. The results of OLS estimates show that globalization leads to inequality, and therefore, it reduces health performance in terms of life expectancy and infant mortality. These results are contradictory to positive views on the role of globalization in public health. However, in 19 of 99 countries, globalization increases public health performance. Ali and Audi ( 2016 ) also analyzed the role of globalization in life expectancy in Pakistan. According to ARDL estimation results, life expectancy is positively associated with higher levels of globalization. Another study on the Pakistan case proposed by Alam et al. ( 2016 ) concluded that foreign direct investment and trade openness which are important indicators of economic globalization affects life expectancy positively.

Patterson and Veenstra ( 2016 ) concluded that electoral democracies provide better health conditions compared to other countries. Their analysis includes annual data from 168 countries covering the period 1960–2010. Empirical results show democracy has a significant positive impact on life expectancy and it reduces infant mortality.

In their recent study, Shahbaz et al. ( 2019 ) investigated the impact of globalization, financial development, and economic growth on life expectancy. The authors used nonlinear time series analysis methods utilizing the data of 16 Sub-Saharan African countries over the period 1970–2012. Their results show that globalization, financial development, and economic growth affect life expectancy positively in 14 of 16 Sub-Saharan African countries.

The previous literature provides a lack of evidence in the context of globalization, democracy, and life expectancy relationship. There are also methodological weaknesses in previous empirical studies. First, it can be observed that previous studies are mostly based on traditional estimation methods. Second, the panel data analyses are based on the first-generation estimators that assume cross-sectional independence. This assumption is hard to satisfy due to integration among countries. In addition, ignoring the cross-sectional dependence results in inconsistent estimations. Particularly in empirical work in the context of globalization which refers to economic, political, and cultural integration among countries, considering the cross-sectional dependence becomes more important. Therefore, in order to make a methodological contribution to previous literature, we used second-generation panel time series methods considering cross-sectional dependence.

3 Methodology and data

According to the United Nations, achieving sustainable development goals requires global cooperation and partnership. Therefore, “partnerships for goals” has taken its place as the 17th sustainable development target. However, it was emphasized that some sub-goals should be realized in order to reach this goal. These include improving international resource mobility, helping developing countries to attain debt sustainability, promoting the transfer of information and technology between developed and developing countries, an open and rule-based free trade system, encouraging public–private and civil society partnerships, increasing transparency and accountability, and high quality and reliable data (United Nations 2019 ). In our empirical work, economic, social, and political globalization and democracy variables were used as proxies of the subcomponents of SDG17. In addition, the life expectancy at birth variable that mostly used in related literature as a proxy of health status and well-being, it is used in our study as a proxy of SDG3. In this study, we investigated the role of globalization and democracy in life expectancy in 16 low-income countries. Footnote 1 Following Barlow and Vissandjee ( 1999 ) and ( 2000 ), GDP per capita is used as a control variable in order to mitigate omitted variable bias. Our dataset is covering the period 1970–2017. Following the related literature, we present our model as follows:

where lex is life expectancy at birth which refers to the average number of years a newborn is expected to live. Life expectancy at birth data is provided by World Bank ( 2019 ) World Development Indicators. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life. The dataset is consisting of a weighted average of collected data from several co-founders. In Eq.  1 , X refers to the KOF Globalization Index developed by Dreher ( 2006 ). This index has been used in previous literature as a proxy of SDG17 (Saint Akadiri et al. 2020 ). The current version of the data published by the Swiss Economic Institute is revised by Gygli et al. ( 2019 ). The globalization variables are between 0–100, and 100 refers to the highest globalization level. In our analysis, we used subcomponents of globalization index such as economic (EC), social (SOS), and political (POL) globalization in addition to overall globalization (GLB). Due to high collinearity, the effects of different types of globalization are analyzed separately. Models 1, 2, 3, and 4 represent the estimations with overall, economic, social, and political globalization indexes, respectively. The democracy variable ( dem ) is provided from the Polity IV project dataset (Marshall and Jaggers 2002 ). While the increases in this indicator represent a more democratic regime, the decreases represent a more autocratic regime. Finally, gdp is real GDP per capita (constant 2010 $) and it is provided from World Bank World Development Indicators. All variables transformed to the logarithmic form except democracy due to negative values. In the estimation of the model, the panel data analysis methods are used.

3.1 Cross-sectional dependence

Traditional panel data methods are based on the assumption that no cross-sectional dependence exists among cross section units. However, this assumption is hard to satisfy due to rising economic, social, and political integration between countries. The estimations do not take this process into account may cause inconsistent results. Such results may also lead to incorrect inferences (Chudik and Pesaran, 2013 ). The existence of cross-sectional dependence in variables and the error term is obtained from the model analyzed with Pesaran ( 2004 ) \({\text{CD}}_{{{\text{LM}}}}\) and Pesaran et al. ( 2008 ) bias-adjusted LM test. These techniques are robust whether N > T and T > N. Therefore, \({CD}_{LM}\) and bias-adjusted LM ( \({LM}_{adj})\) tests are found to be appropriate and their test statistics can be calculated as follows:

Equation  2 shows the calculation of Pesaran ( 2004 ) \({CD}_{LM},\) and Eq.  3 is Pesaran et al. ( 2008 ) bias-adjusted LM test statistic. \({V}_{Tij}\) , \({\mu }_{Tij}\) , and \({\widehat{\rho }}_{ij},\) respectively, represent variance, mean, and the correlation between cross section units. The null and alternative hypothesis for both test statistics; \({H}_{0}\) : No cross-sectional dependence exist; \({H}_{1}\) : Cross-sectional dependence exist.

In the selection of stationarity tests and long-run estimators, the existence of cross-sectional dependence will be decisive. If the null of no cross-sectional dependence is rejected, second-generation methods that assume cross-sectional dependence should be used in order to provide unbiased and consistent estimation results.

3.2 Slope homogeneity

Pesaran and Yamagata ( 2008 ) proposed a method to examine slope heterogeneity in panel data analysis based on the Swamy ( 1970 )’s random coefficient model.

The calculation of the test statistic of Swamy’s model is given in Eq.  4 .

In Eq.  4 , \({\stackrel{\sim }{\beta }}_{i}\) and \({\overbrace{\beta }}_{WFE},\) respectively, indicate the parameters obtained from pooled OLS and weighted fixed effects estimation, while \({M}_{T}\) is the identity matrix. The test statistic obtained from Swamy’s model is improved by Pesaran et al. ( 2008 ) as follows:

where \(\stackrel{\sim }{S}\) is the Swamy test statistic and k is a number of explanatory variables. \({\stackrel{\sim }{\Delta }}_{adj}\) is a bias-adjusted version of \(\stackrel{\sim }{\Delta }\) . \({\stackrel{\sim }{Z}}_{it}\) =k and \(Var\left({\stackrel{\sim }{Z}}_{it}\right)=2k(T-k-1)/T+1\) . The null and alternative hypothesis for both test statistics is given below.

The rejection of the null hypothesis shows that slope coefficients of Eq. 1 are heterogeneous. In the selection of panel data estimation methods, the results of those preliminary analysis are taken into account.

3.3 Unit root test

Pesaran ( 2006 ) suggested a factor modeling approach to solve the cross-sectional dependency problem. This approach is simply based on adding cross-sectional averages to the models as proxies of unobserved common factors. The Cross-sectionally Augmented Dickey–Fuller (CADF) unit root test developed by Pesaran ( 2007 ) is based on that factor modelling approach. This method is an augmented form of Augmented Dickey–Fuller (ADF) regression with lagged cross-sectional average and its first difference to deal with cross-sectional dependence (Baltagi, 2008 : 249). This method considers the cross-sectional dependence and can be used, while N > T and T > N. The CADF regression is:

\({\stackrel{-}{y}}_{t}\) is the average of all N observations. To prevent serial correlation, the regression must be augmented with lagged first differences of both \({y}_{it}\) and \({\stackrel{-}{y}}_{t}\) as follows:

After the calculation of CADF statistics for each cross section ( \({CADF}_{i}\) ), Pesaran ( 2007 ) calculates the CIPS statistic as average of CADF statistics.

If the calculated CIPS statistic exceeds the critical value, it means that the unit root hypothesis is rejected. After the preliminary analysis of unit root, the existence of a long-run relationship between the variables in our model will be investigated via Westerlund and Edgerton ( 2007 ) cointegration test. After this, the long-run coefficients will be estimated using the continuous-updated fully modified (CUP-FM) estimator developed by Bai and Kao ( 2006 ) and Bias-adjusted OLS estimator developed by Westerlund ( 2007 ).

3.4 Cointegration test and long-run relationship

In this study, the cointegration relationship was investigated by Westerlund and Edgerton ( 2007 ) LM bootstrap test. This method considers cross-sectional dependence and provides robust results in small samples (Westerlund and Edgerton, 2007 ). This method is based on the following equation

where \({n}_{ij}\) is an independent and identically distributed process with zero mean and var( \({n}_{ij})\) = \({{\sigma }_{i}}^{2}\) . Westerlund and Edgerton ( 2007 ) suggested following LM test in order to test the null of cointegration

where \({S}_{it}\) is partial sum process of the fully modified estimate of \({z}_{it}\) and \({\widehat{w}}_{i}^{-2}\) is the estimated long-run variance of \({u}_{it}\) conditional on \(\Delta {x}_{it}^{^{\prime}}\) . If the calculated LM statistic is below the critical value, the null of cointegration will be accepted. The critical values will be provided using the bootstrap method in order to prevent cross-sectional dependence.

In the estimation of long-run coefficients, the CUP-FM estimator was used and this method is based on the following regression

where \({\widehat{\lambda }}_{i}^{^{\prime}}\) refers to the estimated factor loadings and \(\hat{y}_{{i,t}}^{ + } = y_{{i,t}} - \left( {\lambda _{i} ^{\prime } \hat{\Omega }_{{F \in i}} + \hat{\Omega }_{{\mu \in i}} } \right)\hat{\Omega }_{{ \in i}}^{{ - 1}} {{\Delta }}x_{{i,t}}\) indicates the transformation of the dependent variable for endogeneity correction. According to Bai and Kao ( 2006 ), CUP-FM estimator is robust under cross-sectional dependence. However, the assumption that the number of common factors (k) is known cannot be satisfied in practice (Westerlund, 2007 ). Therefore, Westerlund ( 2007 ) suggested a bias-adjusted estimator (BA-OLS) following the methodology of Bai and Kao ( 2006 ) except in the context of determining the number of common factors. The author suggested the estimation of k using an information criterion as

where \(IC\left(k\right)\) is the information criterion. In this study, we determined the number of common factors via the Bayesian information criterion (BIC) as follows.

In the equation above, V(k) is the estimated variance of \({\widehat{u}}_{it}\) based on k factors. By minimizing the BIC, we obtain \(\widehat{k}\) . Westerlund ( 2007 ) showed that the estimation of k provides better results compared to CUP-FM estimator assuming k is known. Both of the estimators require cointegrated variables in the long run.

3.5 Empirical results and discussion

The results of Pesaran ( 2004 ) \({CD}_{LM}\) and Pesaran et al. ( 2008 ) bias-adjusted LM tests are given in Table 1 .

The results given in Table 1 show that the null of no cross-sectional dependence is rejected at 1% according to both \({CD}_{LM}\) and \({LM}_{adj}\) test statistics in all variables. In addition, in the error terms obtained from models 1, 2, 3, and 4 the null of no cross-sectional dependence is rejected at 1%. These results show that the methods to be used in the analysis of the stationarity of the variables and the determination of the long-run relationship should consider the cross-sectional dependence.

The results of homogeneity tests developed by Pesaran and Yamagata ( 2008 ) are given in Table 2 . According to the results, the null of homogeneity is accepted at %1 in all models. Therefore, estimators assume parameter homogeneity are used in our analysis.

After the preliminary analysis of cross-sectional dependence, the CADF unit root test developed by Pesaran ( 2007 ) is found to be appropriate for our model because of its robustness under cross-sectional dependence. The results of the CADF unit root test are given in Table 3 .

In the analysis of unit root, constant and trend terms are both considered at level, while only constant term is added at first difference. Maximum lag level is determined as 3, while optimum lag level is determined by F joint test from general to particular. According to results, the null of unit root is accepted for all variables, while calculated CIPS statistics of first-differenced variables exceed 1% critical value. All variables have a unit root, and their first differences are stationary ( \({I}_{1})\) . Therefore, in order to determine the existence of a long-run relationship, we applied Westerlund and Edgerton ( 2007 ) panel cointegration test. This method considers cross-sectional dependence and can be used, while the series are integrated in the same order. The results are shown in Table 4 .

Constant and trend are both considered in the analysis of cointegration, and critical values are obtained from 5000 bootstrap replications. The results show that the null of cointegration is accepted for all models. There is a long-run relationship between life expectancy, globalization, democracy, and GDP per capita. After determining the cointegration relationship, we estimated long-run coefficients utilizing CUP-FM and BA-OLS estimators proposed by Bai and Kao ( 2006 ) and Westerlund ( 2007 ), respectively.

The long-run estimation results given in Table 5 show that overall, economic, social, and political globalization are positively associated with life expectancy at 1% significance level according to both CUP-FM and BA-OLS estimators. The results show that a 1% increase in globalization index increases life expectancy %0.014 and %0.015 according to CUP-FM and BA-OLS estimators, respectively. The impact of economic, social and political globalization indexes is 0.013%, 0.011%, and 0.015% according to CUP-FM estimation results while 0.014%, 0.012%, and 0.017% according to both estimators, respectively.

Our results confirms the findings of Owen and Wu ( 2007 ), Ali and Audi ( 2016 ), and Shahbaz et al. ( 2019 ) who found a positive relationship between globalization and life expectancy. Our empirical work also supports the evidence of Bergh and Nilsson ( 2010 ) in terms of positive effect of economic globalization on life expectancy. While the authors found no significant impact of social and political globalization on life expectancy, our results show that life expectancy is positively associated with both social and political globalization. The results we found contradict Tausch ( 2015 )’s evidences in 80 of 99 countries. However, according to his results, in 19 of 99 countries, globalization affects health positively. When these countries are examined, it is seen that 14 of them are countries in the low and lower-middle income groups. In this sense, it can be said that the evidence we found for low-income countries is in line with the author's evidence. As Dreher ( 2006 ) mentioned, despite its possible inequality effects, the net effect of globalization on development is mostly positive and our empirical work supports that idea. The effect of democracy on life expectancy is also positive and significant at 1% which confirms the findings of Franco et al. ( 2004 ) and Besley and Kudamatsu ( 2006 ). In electoral democracies, people living in poverty and suffering from health problems can easily attract the attention of policymakers compared to autocracies. This leads to the reallocation of resources to solve the primary problems of the society. In the context of sustainable development goals, our results show that there is no conflict between SDG3 (good health and well-being) and SDG17 (partnerships for the goals). The improvement of the health conditions of the poor countries depends on global partnership and economic, social, and political integration among countries. In addition, democracy is an important tool in achieving the goal of a healthy society, as it fosters accountability, transparency, and partnership between governments and the societies they rule. As stated in the introduction section, low-income countries show low performance in terms of health-related sustainable development goals, and their connections with global markets are weak compared to other countries. At the same time, democratic institutions are not developed. Our work supports the idea that in order to achieve SDG3, global partnership and democracy are required.

The GDP per capita that used as a control variable has a positive impact on life expectancy at a 1% level. These results support the evidence of Barlow and Vissandjee ( 1999 ), Or ( 2000 ), and Shahbaz et al. ( 2019 ). Individuals living in countries with high per capita income are expected to have higher welfare and have a longer life expectancy (Judge, 1995 ). In low-income countries where people still suffer from having difficulty in meeting basic human needs, increasing per capita income may lead to better nutritional status, easier access to advanced treatment methods and technology.

4 Conclusion

In this study, the effects of globalization and democracy on life expectancy are empirically investigated in low-income countries. While globalization and democracy indexes are used as proxy indicators of “Partnerships for the Goals (SDG 17),” life expectancy used a proxy of “Good Health and Well-Being (SDG 3).” With this, it is aimed to examine the existence of contradiction between those SDGs. In the estimation of the long-run relationship between the variables, second-generation panel data analysis methods that consider cross-sectional dependency are used. According to the results, the globalization index and its subcomponents such as economic, social, and political globalization are important instruments to achieve a healthier society. In addition, higher levels of democracy lead to higher levels of life expectancy. Finally, GDP per capita growth improves health status of countries.

The findings obtained from our study show that economic, social, and political integration of countries and democracy accelerate the process of achieving a healthier society. Therefore, it is seen that SDG3 and SDG17 targets are compatible with each other. In order to achieve SDG3, economic, social, and political integration between countries should be encouraged and democratic institutions should be improved. Policy makers should remove the barriers on globalization, and they should promote participation on international organizations and public–private and civil society partnerships.

Those countries are Benin, Burkina Faso, Burundi, Central African Republic, Chad, Democratic Republic of Congo, The Gambia, Haiti, Madagascar, Malawi, Mali, Nepal, Niger, Rwanda, Sierra Leone, and Togo.

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Guzel, A.E., Arslan, U. & Acaravci, A. The impact of economic, social, and political globalization and democracy on life expectancy in low-income countries: are sustainable development goals contradictory?. Environ Dev Sustain 23 , 13508–13525 (2021). https://doi.org/10.1007/s10668-021-01225-2

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Introduction

Globalization is defined as the integration of ideas, values and culture among different nations across the globe. People around the world share ideas in the different fields of practices such as technology and economy. Since the emergence of globalization, nations have realized its importance in the different spheres of life. It has facilitated the movement of people across the world and has made it easy for people to interact.

Through globalization, nations have been able to realize many benefits associated with the globalization of the economy. The essay therefore explains the importance of globalization, the economic impact on individuals and countries and how the international security system has been affected as well as the factors that have supported the growth of globalization.

Benefits of globalization

The introduction of globalization across the world has yielded many positive results that have helped in the development of individuals and nations. The benefits of globalization are therefore discussed as follows.

Due to globalization, many companies have been able to source employees for better productivity in the companies. This is because companies with employees from different backgrounds increase the productivity due to the pool of ideas.

Developed countries have been able to create employment opportunities for people from developing countries and this has given them an opportunity to explore the untapped resources in the developing countries hence being able to invest in the emerging markets (Shiva 2005, 1).

Increased competition

Due to globalization, producers have faced stiff competition in the market and this has contributed to easy accessibility of products and services at affordable prices. The stiff competition in the market has led to the production of high quality products and services since domestic companies have no option rather than producing quality goods and services for them to gain advantage in the market.

Individuals from different nations enjoy the variety of products and services in the market because companies are compelled to generate new products and services, which are unique for them to survive in the market.

This has therefore increased the living standards of people worldwide and improved the economy of countries since they do not spend a lot of their resource in achieving what they need if it can be acquired cheaply from other countries (The Economist 2011, 1).

Investment and capital flow

Many companies have invested in countries where there are opportunities hence increased their capital flow. Most developing countries have high chances of increasing their capital flow since they are able to invest in developing countries, which have resources but lack enough capital to explore them.

Globalization has given developed countries an edge to excel in the market due to improved technologies which many companies in developing countries lack and this has given them greater opportunities to invest (Shiva 2005, 1).

Foreign trade

Globalization has made foreign exchange easy among countries due to the agreement on how to operate the business. The set rules and regulations have given people opportunities to operate in different spheres of business without any panic as compared to ancient times when people could snick products to other countries.

This has again increased the living standards of individuals since they are able to acquire what they require without much strain and at cheaper prices as compared to the era when foreign trade was not legalized.

Foreign trade has therefore become friendly to all individuals even to the uncivilized since there are organizations like the World Trade Organizations (WTO), which unite them hence operating comfortably (International Monetary Fund 2000, 1).

Technological knowledge

Globalization has greatly contributed to the sharing of knowledge, which has led to the innovations among nations. Initially, the knowledge of technology and innovation was in the western countries but later spread to other countries, which has led to improved health facilities in developing countries. The political as well as the economic knowledge has developed better methods of agriculture hence increased productivity.

In the section of politics, most countries have achieved democracy, which has resulted to better economy in different nations since individuals are well informed about political matters. This has also made other countries to be more powerful since they are able to exert pressure on the political systems of other countries (Stiglitz 2008, 1).

Integration of culture

Through globalization, people have been able to become citizens of other countries due to search for employment or opportunities to invest. People of different backgrounds have different cultures and when they interact, they are forced to leave some of their beliefs and adopt new values from other culture, which are of benefit to the development.

Due to the free interaction between people of different cultures societies just like individuals have developed new cultures due to influence from other cultures and dropped their own which they feel are not of any value such as dressing styles, cooking styles and other values of culture like music and art (Romer 1986, 6).

Globalization has accelerated the growth of education across the world. Individuals are free to move from one country to another in search of the better forms of education to acquire the necessary knowledge and skills for the chosen career paths.

People are also able to carry out research on various projects in other countries to acquire the necessary knowledge to develop the home countries. For example, Japan is well known for efficiency and high quality and many countries send their people to learn there and apply the knowledge in their countries (Pankaj 2007, 6).

Legal and ethical effects

Before globalization, countries had hard times to prosecute the criminals because of the jurisdictions that existed among nations and criminals could therefore escape the law once they sought refuge in other countries. Due to globalizations, the problem has been solved through the introduction of the international courts of justices, which handle cases of such criminals by bringing them forward for the law to be imposed on them.

Countries have also been able to join hands together and fight against terrorism since there is mutual understanding between the security agencies. This has assisted to curb such cases of crimes hence creation of security (Ritzer 1993, 36).

Environmental and social concerns

Globalization has contributed to the formation of organizations that cater for the environment as well as the social activities. Nations have joined hands to form organizations, which monitor the climate and the environment such as UNEP (United Nations Environmental Programmed), and many other organizations, which have assisted in the reduction of production fluctuations in countries.

Globalization has therefore resulted to better resolutions across the globe in reference to technology, economy and culture. The effect of economic integration and globalization has created many changes in the face of individuals and countries.

For this aspect of economic integration to come to reality, technology has contributed in terms of communication and transportation for business to take place among the countries. Economic integration has contributed to the following benefits (Mulgan 1998, 46).

Creation of financial opportunities

Globalization has made many people realize their dreams in the businesses since they are able to acquire the financial support they need. Before the emergence of globalization, many companies were not able to access the funds they required to develop their businesses since they were limited to local sources for their capital but due to globalization, companies have been able to access money from other developed countries.

For instance, the World Bank is an international organization, which enables companies, and developing countries receive loans for developing at friendly rates (World Bank 1999, 1).

The small business enterprises are also able to access loans to develop their businesses since there are groups, which lend money to people at a non-profit rate, and individuals across the world are able to access them.

In the global economy, the companies can seek foreign investors from any country to invest in their businesses. This has increased the economy of countries as well as improving the living standards of individuals (IMF Issues Brief 2008, 1).

Language changes

Economic globalization has resulted to changes in language since people of different communities with different languages are involved in the business. Before the introduction of foreign trade, many people used to speak in their native languages since trade was done within their territories. Due to globalization, many people have learnt other foreign languages for easy communication.

This has therefore made some languages to be recognized as international like English, which is used as a professional language.

This has led to better ways of communication, which has facilitated unity among nations since people are able to understand one another and the appreciation of other languages that people never recognized. For instance, the Mandarin Chinese is a language that has become of interest among the Americans (Naim 2009, 1).

Cultural impact

Economic integration has created changes in the culture of different countries and communities. Through foreign trade, people have been able to buy new products from other countries, which are designed according to their cultures, and this has led to the appreciation of different cultures.

Many countries have adopted different cooking styles especially in developing countries’ hotels to be able to accommodate people from other developed countries whom they trade with like the Americans and the Japanese. This has therefore resulted to unity among the nations (Castells 2001, 45).

Commercial advances

Due to economic integration, many commercial advances have been realized in different countries. Through this integration, various products and consumer items have gained an edge in the market as compared to the ancient times before economic integration where people could not appreciate goods and other consumables from some foreign countries.

Companies like Coca Cola, Sony and many others have managed to manipulate themselves across the world. This has contributed to the popularity of some products, which were not recognized in some countries hence increased income that increases the economy of a country as well as improving the living standards of individuals (Foreign Policy 2002, 2).

Globalization is accepted by different political arenas due to its benefits to the members. Globalization has therefore been accepted and is likely to continue surviving due to the following factors.

Improved technology in communication and transportation

Due to improved technology in the field of communication and transportation, people have been able to communicate to each other and move across the world with easy.

Through the introduction of internets and phones across the world communication has been made easy that people from different geographical places can communicate as if they are talking face to face when making business deals. Through such devices, people are able to share ideas, which help them develop (Cogburn 1998, 2).

Improved technology in transportation has accelerated the growth of globalization since people from different countries are able to move from one place to another for conferences to discuss globalization issues. Improved transport has also enabled the movement of products from one country to another.

Governments have therefore helped in the realization of globalization by constructing airports and seaports for smooth running of businesses across the world since people are able to move from one country to another within the shortest period (Cha 2000, 3).

Economic liberalization has assisted in the growth of globalization by signing agreements, which enable individual and companies to trade.

Many nations have therefore signed policies like free trade agreements, accepted investors into their countries without any restriction and this has accelerate the rate of globalization growth. Through such treaties, countries have improved their economies and the living standards of the citizens (Bhagwati 2008, 1).

Through human migration

Countries have allowed free movement of people from one nation to another and this has led to the sharing of ideas, technology and cultural values.

Due to search of employment in foreign countries and opportunities for investment, people have been able to share the cultural values since they drop some of the values and adapt new ones to fit in the environment. Through such movements, people are able to improve on technological ideas that contribute to globalization (Giddens 1990, 56).

Through capitalism, individuals are able to pursue their own interest without restriction. For instance, when someone want to develop his/her career he or she is free to choose the institution, which has made it easy for people of different background mingle and stay as one family (Freidman 2005, 1).

Due to democracy, countries have been able to implement laws and regulations, which protect the interests of individual as well the right of the minorities in societies. Such laws have therefore led to the growth of globalization since individuals are able to exercise the authority for instance moving to a different country, or buying of products from other countries even if they are produced within the home country (Bhagwati 2011, 1).

Popular culture

The popularity of music, movies or actors has increased the change in cultural values since people listen to music or watch movies of different cultures, which has led to the appreciation of other people’s cultures. By appreciating a different culture, many people end up adapting it and this has led to globalization (Klein 1999, 1).

Globalization has become wide spread across the world since many individuals and countries are able to benefit. It has led to improved economic status of countries since they are able to export the products and services to receive money for developing their countries as well as reducing the cost of production through importation of the products.

Individuals have also improved their living standards through the creation of employment and easy way of accessing goods and services at a reduced price.

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Cha, Victor. 2000. Globalization and the study of international security. Journal of Peace Research 37: 391-403.

Cogburn, Douglas. 1998. “Globalization, knowledge, Education and Training in the Global World”, Conference Paper for the Info Ethics 98, UNESCO . Web.

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Stiglitz, Joseph. 2008. Making globalization work: The 2006 Geary lecture. The Economic and Social Review 39: 171-190.

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• Negative Effects of Globalization in Developing Nations
• The Intellectual Capital in Globalization Practices
• Globalization and Development
• Globalization Positive and Negative Impacts
• Concept and History of the Economic Globalization
• Effects and Nature of Globalization
• Globalization and its influences
• The strategic alliance
• Impact of globalization on the market power
• Globalization Impact on Life Career and Future
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• Chicago (N-B)

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The Global Economic Outlook During the COVID-19 Pandemic: A Changed World

An empty highway in Dubai during the coronavirus pandemic. Above the highway, a sign reads "Stay Safe, Stay Home."  © Mo Azizi/Shutterstock

The COVID-19 pandemic has spread with alarming speed, infecting millions and bringing economic activity to a near-standstill as countries imposed tight restrictions on movement to halt the spread of the virus. As the health and human toll grows, the economic damage is already evident and represents the largest economic shock the world has experienced in decades.

The June 2020 Global Economic Prospects  describes both the immediate and near-term outlook for the impact of the pandemic and the long-term damage it has dealt to prospects for growth. The baseline forecast envisions a 5.2 percent contraction in global GDP in 2020, using market exchange rate weights—the deepest global recession in decades, despite the extraordinary efforts of governments to counter the downturn with fiscal and monetary policy support. Over the longer horizon, the deep recessions triggered by the pandemic are expected to leave lasting scars through lower investment, an erosion of human capital through lost work and schooling, and fragmentation of global trade and supply linkages.

The crisis highlights the need for urgent action to cushion the pandemic’s health and economic consequences, protect vulnerable populations, and set the stage for a lasting recovery. For emerging market and developing countries, many of which face daunting vulnerabilities, it is critical to strengthen public health systems, address the challenges posed by informality, and implement reforms that will support strong and sustainable growth once the health crisis abates.

Historic contraction of per capita income

The pandemic is expected to plunge most countries into recession in 2020, with per capita income contracting in the largest fraction of countries globally since 1870. Advanced economies are projected to shrink 7 percent. That weakness will spill over to the outlook for emerging market and developing economies, who are forecast to contract by 2.5 percent as they cope with their own domestic outbreaks of the virus. This would represent the weakest showing by this group of economies in at least sixty years.

Every region is subject to substantial growth downgrades. East Asia and the Pacific will grow by a scant 0.5%. South Asia will contract by 2.7%, Sub-Saharan Africa by 2.8%, Middle East and North Africa by 4.2%, Europe and Central Asia by 4.7%, and Latin America by 7.2%.  These downturns are expected to reverse years of progress toward development goals and tip tens of millions of people back into extreme poverty.

Emerging market and developing economies will be buffeted by economic headwinds from multiple quarters: pressure on weak health care systems, loss of trade and tourism, dwindling remittances, subdued capital flows, and tight financial conditions amid mounting debt. Exporters of energy or industrial commodities will be particularly hard hit. The pandemic and efforts to contain it have triggered an unprecedented collapse in oil demand and a crash in oil prices. Demand for metals and transport-related commodities such as rubber and platinum used for vehicle parts has also tumbled. While agriculture markets are well supplied globally, trade restrictions and supply chain disruptions could yet raise food security issues in some places.

A possibility of even worse outcomes

Even this bleak outlook is subject to great uncertainty and significant downside risks. The forecast assumes that the pandemic recedes in such a way that domestic mitigation measures can be lifted by mid-year in advanced economies and later in developing countries, that adverse global spillovers ease during the second half of 2020, and that widespread financial crises are avoided. This scenario would envision global growth reviving, albeit modestly, to 4.2% in 2021.

However, this view may be optimistic. Should COVID-19 outbreaks persist, should restrictions on movement be extended or reintroduced, or should disruptions to economic activity be prolonged, the recession could be deeper. Businesses might find it hard to service debt, heightened risk aversion could lead to climbing borrowing costs, and bankruptcies and defaults could result in financial crises in many countries. Under this downside scenario, global growth could shrink by almost 8% in 2020.

Looking at the speed with which the crisis has overtaken the global economy may provide a clue to how deep the recession will be. The sharp pace of global growth forecast downgrades points to the possibility of yet further downward revisions and the need for additional action by policymakers in coming months to support economic activity.

A particularly concerning aspect of the outlook is the humanitarian and economic toll the global recession will take on economies with extensive informal sectors that make up an estimated one-third of the GDP and about 70% of total employment in emerging market and developing economies. Policymakers must consider innovative measures to deliver income support to these workers and credit support to these businesses.

Long-term damage to potential output, productivity growth

The June 2020 Global Economic Prospects looks beyond the near-term outlook to what may be lingering repercussions of the deep global recession: setbacks to potential output⁠—the level of output an economy can achieve at full capacity and full employment⁠—and labor productivity.  Efforts to contain COVID-19 in emerging and developing economies, including low-income economies with limited health care capacity, could precipitate deeper and longer recessions⁠—exacerbating a multi-decade trend of slowing potential growth and productivity growth. Many emerging and developing economies were already experiencing weaker growth before this crisis; the shock of COVID-19 now makes the challenges these economies face even harder. 

Another important feature of the current landscape is the historic collapse in oil demand and oil prices. Low oil prices are likely to provide, at best, temporary initial support to growth once restrictions to economic activity are lifted. However, even after demand recovers, adverse impacts on energy exporters may outweigh any benefits to activity in energy importers. Low oil prices offer an opportunity to oil producers to diversify their economies. In addition, the recent oil price plunge may provide further momentum to undertake energy subsidy reforms and deepen them once the immediate health crisis subsides.

In the face of this disquieting outlook, the immediate priority for policymakers is to address the health crisis and contain the short-term economic damage. Over the longer term, authorities need to undertake comprehensive reform programs to improve the fundamental drivers of economic growth once the crisis lifts.

Policies to rebuild both in the short and long-term entail strengthening health services and putting in place targeted stimulus measures to help reignite growth , including support for the private sector and getting money directly to people. During the mitigation period, countries should focus on sustaining economic activity with support for households, firms and essential services.

Global coordination and cooperation—of the measures needed to slow the spread of the pandemic, and of the economic actions needed to alleviate the economic damage, including international support—provide the greatest chance of achieving public health goals and enabling a robust global recovery.

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Trade and Globalization

How did international trade and globalization change over time? What is the structure today? And what is its impact?

By: Esteban Ortiz-Ospina , Diana Beltekian and Max Roser

This page was first published in 2014 and last revised in April 2024.

On this topic page, you can find data, visualizations, and research on historical and current patterns of international trade, as well as discussions of their origins and effects.

Other research and writing on trade and globalization on Our World in Data:

• Is globalization an engine of economic development?
• Is trade a major driver of income inequality?

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Economic Growth

See all our data, visualizations, and writing on economic growth.

Economic Inequality

See all our data, visualizations, and writing on economic inequality.

See all our data, visualizations, and writing on migration.

See all interactive charts on Trade and Globalization ↓

Trade has changed the world economy

Trade has grown remarkably over the last century.

One of the most important developments of the last century has been the integration of national economies into a global economic system. This process of integration, often called globalization, has resulted in a remarkable growth in trade between countries.

The chart here shows the growth of world exports over more than the last two centuries. These estimates are in constant prices (i.e. have been adjusted to account for inflation) and are indexed at 1913 values.

The chart shows an extraordinary growth in international trade over the last couple of centuries: Exports today are more than 40 times larger than in 1913.

You can switch to a logarithmic scale under ‘Settings’. This will help you see that, over the long run, growth has roughly followed an exponential path.

The increase in trade has even outpaced economic growth

The chart above shows how much more trade we have today relative to a century ago. But what about trade relative to total economic output?

Over the last couple of centuries the world economy has experienced sustained positive economic growth , so looking at changes in trade relative to GDP offers another interesting perspective.

The next chart plots the value of traded goods relative to GDP (i.e. the value of merchandise trade as a share of global economic output).

Up to 1870, the sum of worldwide exports accounted for less than 10% of global output. Today, the value of exported goods around the world is around 25%. This shows that over the last hundred years, the growth in trade has even outpaced rapid economic growth.

Trade expanded in two waves

The first "wave of globalization" started in the 19th century, the second one after ww2.

The following visualization presents a compilation of available trade estimates, showing the evolution of world exports and imports as a share of global economic output .

This metric (the ratio of total trade, exports plus imports, to global GDP) is known as the “openness index”. The higher the index, the higher the influence of trade transactions on global economic activity. 1

As we can see, until 1800 there was a long period characterized by persistently low international trade – globally the index never exceeded 10% before 1800. This then changed over the course of the 19th century, when technological advances triggered a period of marked growth in world trade – the so-called “first wave of globalization”.

This first wave came to an end with the beginning of World War I, when the decline of liberalism and the rise of nationalism led to a slump in international trade. In the chart we see a large drop in the interwar period.

After World War II trade started growing again. This new – and ongoing – wave of globalization has seen international trade grow faster than ever before. Today the sum of exports and imports across nations amounts to more than 50% of the value of total global output.

Before the first wave of globalization, trade was driven mostly by colonialism

Over the early modern period, transoceanic flows of goods between empires and colonies accounted for an important part of international trade. The following visualizations provide a comparison of intercontinental trade, in per capita terms, for different countries.

As we can see, intercontinental trade was very dynamic, with volumes varying considerably across time and from empire to empire.

Leonor Freire Costa, Nuno Palma, and Jaime Reis, who compiled and published the original data shown here, argue that trade, also in this period, had a substantial positive impact on the economy. 2

The first wave of globalization was marked by the rise and collapse of intra-European trade

The following visualization shows a detailed overview of Western European exports by destination. Figures correspond to export-to-GDP ratios (i.e. the sum of the value of exports from all Western European countries, divided by the total GDP in this region). You can use “Settings” to switch to a relative view and see the proportional contribution of each region to total Western European exports.

This chart shows that growth in Western European trade throughout the 19th century was largely driven by trade within the region: In the period 1830-1900 intra-European exports went from 1% of GDP to 10% of GDP, and this meant that the relative weight of intra-European exports doubled over the period. However, this process of European integration then collapsed sharply in the interwar period.

After the Second World War trade within Europe rebounded, and from the 1990s onwards exceeded the highest levels of the first wave of globalization. In addition, Western Europe then started to increasingly trade with Asia, the Americas, and to a smaller extent Africa and Oceania.

The next graph, using data from Broadberry and O'Rourke (2010) 3 , shows another perspective on the integration of the global economy and plots the evolution of three indicators measuring integration across different markets – specifically goods, labor, and capital markets.

The indicators in this chart are indexed, so they show changes relative to the levels of integration observed in 1900. This gives us another perspective on how quickly global integration collapsed with the two World Wars. 4

The second wave of globalization was enabled by technology

The worldwide expansion of trade after the Second World War was largely possible because of reductions in transaction costs stemming from technological advances, such as the development of commercial civil aviation, the improvement of productivity in the merchant marines, and the democratization of the telephone as the main mode of communication. The visualization shows how, at the global level, costs across these three variables have been going down since 1930.

Reductions in transaction costs impacted not only the volumes of trade but also the types of exchanges that were possible and profitable.

The first wave of globalization was characterized by inter-industry trade. This means that countries exported goods that were very different from what they imported – England exchanged machines for Australian wool and Indian tea. As transaction costs went down, this changed. In the second wave of globalization, we are seeing a rise in intra -industry trade (i.e. the exchange of broadly similar goods and services is becoming more and more common). France, for example, now both imports and exports machines to and from Germany.

The following visualization, from the UN World Development Report (2009) , plots the fraction of total world trade that is accounted for by intra-industry trade, by type of goods. As we can see, intra-industry trade has been going up for primary, intermediate, and final goods.

This pattern of trade is important because the scope for specialization increases if countries are able to exchange intermediate goods (e.g. auto parts) for related final goods (e.g. cars).

Trade and trade partners by country

Above, we examined the broad global trends over the last two centuries. Let's now examine country-level trends over this long and dynamic period.

This chart plots estimates of the value of trade in goods, relative to total economic activity (i.e. export-to-GDP ratios).

These historical estimates obviously come with a large margin of error (in the measurement section below we discuss the data limitations); yet they offer an interesting perspective.

You can edit the countries and regions selected. Each country tells a different story. 6

In the next chart we plot, country by country, the regional breakdown of exports. India is shown by default, but you can edit the countries and regions shown.

When switching to displaying relative values under ‘Settings’, we see the proportional contribution of purchases from each region. For example, we see that more than a third of Indian exports went to Asian countries in recent decades.

This gives us an interesting perspective on the changing nature of trade partnerships. In India, we see the rising importance of trade with Africa—a pattern that we discuss in more detail below .

Trade around the world today

How much do countries trade, trade openness around the world.

The metric trade as a share of GDP gives us an idea of global integration by capturing all incoming and outgoing transactions of a country.

The charts shows that countries differ a lot in the extent to which they engage in trade. Trade, for example, is much less important to the US economy than for other rich countries.

If you press the play button on the map, you can see changes over time. This reveals that, despite the great variation between countries, there is a common trend: over the last couple of decades trade openness has gone up in most countries.

Exports and imports in real dollars

Expressing the value of trade as a share of GDP tells us the importance of trade in relation to the size of economic activity. Let's now take a look at trade in monetary terms – this tells us the importance of trade in absolute, rather than relative terms.

The chart shows the value of exports (goods plus services) in dollars, country by country.

The main takeaway here is that the trend towards more trade is more pronounced than in the charts showing shares of GDP. This is not surprising: most countries today produce more than a couple of decades ago , and at the same time they trade more of what they produce. 7

What do countries trade?

Trade in goods vs. trade in services.

Trade transactions include goods (tangible products that are physically shipped across borders by road, rail, water, or air) and services (intangible commodities, such as tourism, financial services, and legal advice).

Many traded services make merchandise trade easier or cheaper—for example, shipping services, or insurance and financial services.

Trade in goods has been happening for millennia , while trade in services is a relatively recent phenomenon.

In some countries services are today an important driver of trade: in the UK services account for around half of all exports; and in the Bahamas, almost all exports are services.

In other countries, such as Nigeria and Venezuela, services account for a small share of total exports.

Globally, trade in goods accounts for the majority of trade transactions. But as this chart shows, the share of services in total global exports has slightly increased in recent decades. 8

How are trade partnerships changing?

Bilateral trade is becoming increasingly common.

If we consider all pairs of countries that engage in trade around the world, we find that in the majority of cases, there is a bilateral relationship today: most countries that export goods to a country also import goods from the same country.

The interactive visualization shows this. 9 In the chart, all possible country pairs are partitioned into three categories: the top portion represents the fraction of country pairs that do not trade with one another; the middle portion represents those that trade in both directions (they export to one another); and the bottom portion represents those that trade in one direction only (one country imports from, but does not export to, the other country).

As we can see, bilateral trade is becoming increasingly common (the middle portion has grown substantially). However, many countries still do not trade with each other at all.

South-South trade is becoming increasingly important

The next visualization here shows the share of world merchandise trade that corresponds to exchanges between today's rich countries and the rest of the world.

The 'rich countries' in this chart are: Australia, Austria, Belgium, Canada, Cyprus, Denmark, Finland, France, Germany, Greece, Iceland, Ireland, Israel, Italy, Japan, Luxembourg, Netherlands, Norway, Portugal, Spain, Sweden, Switzerland, United Kingdom and the United States. 'Non-rich countries' are all the other countries in the world.

As we can see, up until the Second World War, the majority of trade transactions involved exchanges between this small group of rich countries. But this has changed quickly over the last couple of decades, and today, trade between non-rich countries is just as important as trade between rich countries.

In the past two decades, China has been a key driver of this dynamic: the UN Human Development Report (2013) estimates that between 1992 and 2011, China's trade with Sub-Saharan Africa rose from $1 billion to more than $140 billion. 10

The majority of preferential trade agreements are between emerging economies

The last few decades have not only seen an increase in the volume of international trade, but also an increase in the number of preferential trade agreements through which exchanges take place. A preferential trade agreement is a trade pact that reduces tariffs between the participating countries for certain products.

The visualization here shows the evolution of the cumulative number of preferential trade agreements in force worldwide, according to the World Trade Organization (WTO). These numbers include notified and non-notified preferential agreements (the source reports that only about two-thirds of the agreements currently in force have been notified to the WTO) and are disaggregated by country groups.

This figure shows the increasingly important role of trade between developing countries (South-South trade), vis-a-vis trade between developed and developing countries (North-South trade). In the late 1970s, North-South agreements accounted for more than half of all agreements – in 2010, they accounted for about one-quarter. Today, the majority of preferential trade agreements are between developing economies.

Trading patterns have been changing quickly in middle-income countries

An important change in the composition of exported goods in these countries has accompanied the increase in trade among emerging economies over the last half century.

The next visualization plots the share of food exports in each country's total exported merchandise. These figures, produced by the World Bank, correspond to the Standard International Trade Classification, in which 'food' includes, among other goods, live animals, beverages, tobacco, coffee, oils, and fats.

Two points stand out. First, the relative importance of food exports has substantially decreased in most countries since the 1960s (although globally, it has gone up slightly more recently). Second, this decrease has been largest in middle-income countries, particularly in Latin America.

Regarding levels, as one would expect, in high-income countries, food still accounts for a much smaller share of merchandise exports than in most low- and middle-income-countries.

Trade generates efficiency gains

The raw correlation between trade and growth.

Over the last couple of centuries, the world economy has experienced sustained positive economic growth , and over the same period, this process of economic growth has been accompanied by even faster growth in global trade .

In a similar way, if we look at country-level data from the last half century we find that there is also a correlation between economic growth and trade: countries with higher rates of GDP growth also tend to have higher rates of growth in trade as a share of output. This basic correlation is shown in the chart here, where we plot the average annual change in real GDP per capita, against growth in trade (average annual change in value of exports as a share of GDP). 11

Is this statistical association between economic output and trade causal?

Among the potential growth-enhancing factors that may come from greater global economic integration are: competition (firms that fail to adopt new technologies and cut costs are more likely to fail and be replaced by more dynamic firms); economies of scale (firms that can export to the world face larger demand, and under the right conditions, they can operate at larger scales where the price per unit of product is lower); learning and innovation (firms that trade gain more experience and exposure to develop and adopt technologies and industry standards from foreign competitors). 12

Are these mechanisms supported by the data? Let's take a look at the available empirical evidence.

Evidence from cross-country differences in trade, growth, and productivity

When it comes to academic studies estimating the impact of trade on GDP growth, the most cited paper is Frankel and Romer (1999). 13

In this study, Frankel and Romer used geography as a proxy for trade to estimate the impact of trade on growth. This is a classic example of the so-called instrumental variables approach . The idea is that a country's geography is fixed, and mainly affects national income through trade. So if we observe that a country's distance from other countries is a powerful predictor of economic growth (after accounting for other characteristics), then the conclusion is drawn that it must be because trade has an effect on economic growth. Following this logic, Frankel and Romer find evidence of a strong impact of trade on economic growth.

Other papers have applied the same approach to richer cross-country data, and they have found similar results. A key example is Alcalá and Ciccone (2004). 14

This body of evidence suggests trade is indeed one of the factors driving national average incomes (GDP per capita) and macroeconomic productivity (GDP per worker) over the long run. 15

Evidence from changes in labor productivity at the firm level

If trade is causally linked to economic growth, we would expect that trade liberalization episodes also lead to firms becoming more productive in the medium and even short run. There is evidence suggesting this is often the case.

Pavcnik (2002) examined the effects of liberalized trade on plant productivity in the case of Chile, during the late 1970s and early 1980s. She found a positive impact on firm productivity in the import-competing sector. She also found evidence of aggregate productivity improvements from the reshuffling of resources and output from less to more efficient producers. 16

Bloom, Draca, and Van Reenen (2016) examined the impact of rising Chinese import competition on European firms over the period 1996-2007 and obtained similar results. They found that innovation increased more in those firms most affected by Chinese imports. They also found evidence of efficiency gains through two related channels: innovation increased and new existing technologies were adopted within firms, and aggregate productivity also increased because employment was reallocated towards more technologically advanced firms. 17

Trade does not only increase efficiency gains

Overall, the available evidence suggests that trade liberalization does improve economic efficiency. This evidence comes from different political and economic contexts and includes both micro and macro measures of efficiency.

This result is important because it shows that there are gains from trade. But of course, efficiency is not the only relevant consideration here. As we discuss in a companion article , the efficiency gains from trade are not generally equally shared by everyone. The evidence from the impact of trade on firm productivity confirms this: "reshuffling workers from less to more efficient producers" means closing down some jobs in some places. Because distributional concerns are real it is important to promote public policies – such as unemployment benefits and other safety-net programs – that help redistribute the gains from trade.

Trade has distributional consequences

The conceptual link between trade and household welfare.

When a country opens up to trade, the demand and supply of goods and services in the economy shift. As a consequence, local markets respond, and prices change. This has an impact on households, both as consumers and as wage earners.

The implication is that trade has an impact on everyone. It's not the case that the effects are restricted to workers from industries in the trade sector; or to consumers who buy imported goods. The effects of trade extend to everyone because markets are interlinked, so imports and exports have knock-on effects on all prices in the economy, including those in non-traded sectors.

Economists usually distinguish between "general equilibrium consumption effects" (i.e. changes in consumption that arise from the fact that trade affects the prices of non-traded goods relative to traded goods) and "general equilibrium income effects" (i.e. changes in wages that arise from the fact that trade has an impact on the demand for specific types of workers, who could be employed in both the traded and non-traded sectors).

Considering all these complex interrelations, it's not surprising that economic theories predict that not everyone will benefit from international trade in the same way. The distribution of the gains from trade depends on what different groups of people consume, and which types of jobs they have, or could have. 18

The link between trade, jobs and wages

Evidence from chinese imports and their impact on factory workers in the us.

The most famous study looking at this question is Autor, Dorn and Hanson (2013): "The China syndrome: Local labor market effects of import competition in the United States". 19

In this paper, Autor and coauthors examined how local labor markets changed in the parts of the country most exposed to Chinese competition. They found that rising exposure increased unemployment, lowered labor force participation, and reduced wages. Additionally, they found that claims for unemployment and healthcare benefits also increased in more trade-exposed labor markets.

The visualization here is one of the key charts from their paper. It's a scatter plot of cross-regional exposure to rising imports, against changes in employment. Each dot is a small region (a 'commuting zone' to be precise). The vertical position of the dots represents the percent change in manufacturing employment for the working-age population, and the horizontal position represents the predicted exposure to rising imports (exposure varies across regions depending on the local weight of different industries).

The trend line in this chart shows a negative relationship: more exposure goes along with less employment. There are large deviations from the trend (there are some low-exposure regions with big negative changes in employment); but the paper provides more sophisticated regressions and robustness checks, and finds that this relationship is statistically significant.

This result is important because it shows that the labor market adjustments were large. Many workers and communities were affected over a long period of time. 20

But it's also important to keep in mind that Autor and colleagues are only giving us a partial perspective on the total effect of trade on employment. In particular, comparing changes in employment at the regional level misses the fact that firms operate in multiple regions and industries at the same time. Indeed, Ildikó Magyari found evidence suggesting the Chinese trade shock provided incentives for US firms to diversify and reorganize production. 21

So companies that outsourced jobs to China often ended up closing some lines of business, but at the same time expanded other lines elsewhere in the US. This means that job losses in some regions subsidized new jobs in other parts of the country.

On the whole, Magyari finds that although Chinese imports may have reduced employment within some establishments, these losses were more than offset by gains in employment within the same firms in other places. This is no consolation to people who lost their jobs. But it is necessary to add this perspective to the simplistic story of "trade with China is bad for US workers".

Evidence from the expansion of trade in India and the impact on poverty reductions

Another important paper in this field is Topalova (2010): "Factor immobility and regional impacts of trade liberalization: Evidence on poverty from India". 22

In this paper, Topalova examines the impact of trade liberalization on poverty across different regions in India, using the sudden and extensive change in India's trade policy in 1991. She finds that rural regions that were more exposed to liberalization experienced a slower decline in poverty and lower consumption growth.

Analyzing the mechanisms underlying this effect, Topalova finds that liberalization had a stronger negative impact among the least geographically mobile at the bottom of the income distribution and in places where labor laws deterred workers from reallocating across sectors.

The evidence from India shows that (i) discussions that only look at "winners" in poor countries and "losers" in rich countries miss the point that the gains from trade are unequally distributed within both sets of countries; and (ii) context-specific factors, like worker mobility across sectors and geographic regions, are crucial to understand the impact of trade on incomes.

Evidence from other studies

• Donaldson (2018) uses archival data from colonial India to estimate the impact of India’s vast railroad network. He finds railroads increased trade, and in doing so they increased real incomes (and reduced income volatility). 23
• Porto (2006) looks at the distributional effects of Mercosur on Argentine families, and finds this regional trade agreement led to benefits across the entire income distribution. He finds the effect was progressive: poor households gained more than middle-income households because prior to the reform, trade protection benefitted the rich disproportionately. 24
• Trefler (2004) looks at the Canada-US Free Trade Agreement and finds there was a group who bore "adjustment costs" (displaced workers and struggling plants) and a group who enjoyed "long-run gains" (consumers and efficient plants). 25

The link between trade and the cost of living

The fact that trade negatively affects labor market opportunities for specific groups of people does not necessarily imply that trade has a negative aggregate effect on household welfare. This is because, while trade affects wages and employment, it also affects the prices of consumption goods. So households are affected both as consumers and as wage earners.

Most studies focus on the earnings channel and try to approximate the impact of trade on welfare by looking at how much wages can buy, using as a reference the changing prices of a fixed basket of goods.

This approach is problematic because it fails to consider welfare gains from increased product variety, and obscures complicated distributional issues such as the fact that poor and rich individuals consume different baskets so they benefit differently from changes in relative prices. 26

Ideally, studies looking at the impact of trade on household welfare should rely on fine-grained data on prices, consumption, and earnings. This is the approach followed in Atkin, Faber, and Gonzalez-Navarro (2018): "Retail globalization and household welfare: Evidence from Mexico". 27

Atkin and coauthors use a uniquely rich dataset from Mexico, and find that the arrival of global retail chains led to reductions in the incomes of traditional retail sector workers, but had little impact on average municipality-level incomes or employment; and led to lower costs of living for both rich and poor households.

The chart here shows the estimated distribution of total welfare gains across the household income distribution (the light-gray lines correspond to confidence intervals). These are proportional gains expressed as a percent of initial household income.

As we can see, there is a net positive welfare effect across all income groups; but these improvements in welfare are regressive, in the sense that richer households gain proportionally more (about 7.5 percent gain compared to 5 percent). 28

Evidence from other countries confirms this is not an isolated case – the expenditure channel really seems to be an important and understudied source of household welfare. Giuseppe Berlingieri, Holger Breinlich, Swati Dhingra, for example, investigated the consumer benefits from trade agreements implemented by the EU between 1993 and 2013; and they found that these trade agreements increased the quality of available products, which translated into a cumulative reduction in consumer prices equivalent to savings of €24 billion per year for EU consumers. 29

Implications of trade’s distributional effects

The available evidence shows that, for some groups of people, trade has a negative effect on wages and employment opportunities; at the same time, it has a large positive effect via lower consumer prices and increased product availability.

Two points are worth emphasizing.

For some households, the net effect is positive. But for some households that's not the case. In particular, workers who lose their jobs can be affected for extended periods of time, so the positive effect via lower prices is not enough to compensate them for the reduction in earnings.

On the whole, if we aggregate changes in welfare across households, the net effect is usually positive. But this is hardly a consolation for the worse off.

This highlights a complex reality: There are aggregate gains from trade , but there are also real distributional concerns. Even if trade is not a major driver of income inequalities , it's important to keep in mind that public policies, such as unemployment benefits and other safety-net programs, can and should help redistribute the gains from trade.

Explaining trade patterns: Theory and Evidence

Comparative advantage, theory: what is 'comparative advantage' and why does it matter to understand trade.

In economic theory, the 'economic cost' – or the 'opportunity cost' – of producing a good is the value of everything you need to give up in order to produce that good.

Economic costs include physical inputs (the value of the stuff you use to produce the good), plus forgone opportunities (when you allocate scarce resources to a task, you give up alternative uses of those resources).

A country or a person is said to have a 'comparative advantage' if it can produce something at a lower opportunity cost than its trade partners.

The forgone opportunities of production are key to understanding this concept. It is precisely this that distinguishes absolute advantage from comparative advantage.

To see the difference between comparative and absolute advantage, consider a commercial aviation pilot and a baker. Suppose the pilot is an excellent chef, and she can bake just as well, or even better than the baker. In this case, the pilot has an absolute advantage in both tasks. Yet the baker probably has a comparative advantage in baking, because the opportunity cost of baking is much higher for the pilot.

The freely available economics textbook The Economy: Economics for a Changing World explains this as follows: "A person or country has comparative advantage in the production of a particular good, if the cost of producing an additional unit of that good relative to the cost of producing another good is lower than another person or country’s cost to produce the same two goods."

At the individual level, comparative advantage explains why you might want to delegate tasks to someone else, even if you can do those tasks better and faster than them. This may sound counterintuitive, but it is not: If you are good at many things, it means that investing time in one task has a high opportunity cost, because you are not doing the other amazing things you could be doing with your time and resources. So, at least from an efficiency point of view, you should specialize on what you are best at, and delegate the rest.

The same logic applies to countries. Broadly speaking, the principle of comparative advantage postulates that all nations can gain from trade if each specializes in producing what they are relatively more efficient at producing, and imports the rest: “do what you do best, import the rest”. 30

In countries with a relative abundance of certain factors of production, the theory of comparative advantage predicts that they will export goods that rely heavily upon those factors: a country typically has a comparative advantage in those goods that use its abundant resources. Colombia exports bananas to Europe because it has comparatively abundant tropical weather.

Is there empirical support for comparative-advantage theories of trade?

The empirical evidence suggests that the principle of comparative advantage does help explain trade patterns. Bernhofen and Brown (2004) 31 , for instance, provide evidence using the experience of Japan. Specifically, they exploit Japan’s dramatic nineteenth-century move from a state of near complete isolation to wide trade openness.

The graph here shows the price changes of the key tradable goods after the opening up to trade. It presents a scatter diagram of the net exports in 1869 graphed in relation to the change in prices from 1851–53 to 1869. As we can see, this is consistent with the theory: after opening to trade, the relative prices of major exports such as silk increased (Japan exported what was cheap for them to produce and which was valuable abroad), while the relative price of imports such as sugar declined (they imported what was relatively more difficult for them to produce, but was cheap abroad).

Trade diminishes with distance

The resistance that geography imposes on trade has long been studied in the empirical economics literature – and the main conclusion is that trade intensity is strongly linked to geographic distance.

The visualization, from Eaton and Kortum (2002), graphs 'normalized import shares' against distance. 32 Each dot represents a country pair from a set of 19 OECD countries, and both the vertical and horizontal axes are expressed on logarithmic scales.

The 'normalized import shares' in the vertical axis provide a measure of how much each country imports from different partners (see the paper for details on how this is calculated and normalized), while the distance in the horizontal axis corresponds to the distance between central cities in each country (see the paper and references therein for details on the list of cities). As we can see, there is a strong negative relationship. Trade diminishes with distance. Through econometric modeling, the paper shows that this relationship is not just a correlation driven by other factors: their findings suggest that distance imposes a significant barrier to trade.

The fact that trade diminishes with distance is also corroborated by data on trade intensity within countries. The visualization here shows, through a series of maps, the geographic distribution of French firms that export to France's neighboring countries. The colors reflect the percentage of firms that export to each specific country.

As we can see, the share of firms exporting to each of the corresponding neighbors is the largest close to the border. The authors also show in the paper that this pattern holds for the value of individual-firm exports – trade value decreases with distance to the border.

Institutions

Conducting international trade requires both financial and non-financial institutions to support transactions. Some of these institutions are fairly obvious (e.g. law enforcement); but some are less obvious. For example, the evidence shows that producers in exporting countries often need credit in order to engage in trade.

The scatter plot, from Manova (2013), shows the correlation between levels in private credit (specifically exporters’ private credit as a share of GDP) and exports (average log bilateral exports across destinations and sectors). 34 As can be seen, financially developed economies – those with more dynamic private credit markets – typically outperform exporters with less evolved financial institutions.

Other studies have shown that country-specific institutions, like the knowledge of foreign languages, for instance, are also important to promote foreign relative to domestic trade. 35

Increasing returns to scale

The concept of comparative advantage predicts that if all countries had identical endowments and institutions, there would be little incentive for specialization because the opportunity cost of producing any good would be the same in every country.

So you may wonder: why is it then the case that in the last few years, we have seen such rapid growth in intra-industry trade between rich countries?

The increase in intra-industry between rich countries seems paradoxical under the light of comparative advantage because in recent decades we have seen convergence in key factors, such as human capital , across these countries.

The solution to the paradox is actually not very complicated: Comparative advantage is one, but not the only force driving incentives to specialization and trade.

Several economists, most notably Paul Krugman, have developed theories of trade in which trade is not due to differences between countries, but instead due to "increasing returns to scale" – an economic term used to denote a technology in which producing extra units of a good becomes cheaper if you operate at a larger scale.

The idea is that specialization allows countries to reap greater economies of scale (i.e. to reduce production costs by focusing on producing large quantities of specific products), so trade can be a good idea even if the countries do not differ in endowments, including culture and institutions.

These models of trade, often referred to as “New Trade Theory”, are helpful in explaining why in the last few years we have seen such rapid growth in two-way exchanges of goods within industries between developed nations.

In a much-cited paper, Evenett and Keller (2002) show that both factor endowments and increasing returns help explain production and trade patterns around the world. 36

You can learn more about New Trade Theory, and the empirical support behind it, in Paul Krugman's Nobel lecture .

Measurement and data quality

There are dozens of official sources of data on international trade, and if you compare these different sources, you will find that they do not agree with one another. Even if you focus on what seems to be the same indicator for the same year in the same country, discrepancies are large.

Such differences between sources can also be found in rich countries where statistical agencies tend to follow international reporting guidelines more closely.

There are also large bilateral discrepancies within sources: the value of goods that country A exports to country B can be more than the value of goods that country B imports from country A.

Here we explain how international trade data is collected and processed, and why there are such large discrepancies.

What data is available?

The data hubs from several large international organizations publish and maintain extensive cross-country datasets on international trade. Here's a list of the most important ones:

• World Bank Open Data
• WTO Statistics
• UN Comtrade
• UNCTAD World Integrated Trade Solutions

In addition to these sources, there are also many other academic projects that publish data on international trade. These projects tend to rely on data from one or more of the sources above, and they typically process and merge series in order to improve coverage and consistency. Three important sources are:

• The Correlates of War Project . 37
• The NBER-United Nations Trade Dataset Project .
• The CEPII Bilateral Trade and Gravity Data Project . 38

How large are the discrepancies between sources?

In the visualization here, we compare the data published by several of the sources listed above, country by country, from 1955 to today.

For each country, we exclude trade in services, and we focus only on estimates of the total value of exported goods, expressed as shares of GDP. 39

As this chart clearly shows, different data sources often tell very different stories. If you change the country or region shown you will see that this is true, to varying degrees, across all countries and years.

Constructing this chart was demanding. It required downloading trade data from many different sources, collecting the relevant series, and then standardizing them so that the units of measure and the geographical territories were consistent.

All series, except the two long-run series from CEPII and NBER-UN, were produced from data published by the sources in current US dollars and then converted to GDP shares using a unique source (World Bank).

So, if all series are in the same units (share of national GDP) and they measure the same thing (value of goods exported from one country to the rest of the world), what explains the differences?

Let's dig deeper to understand what's going on.

Why doesn't the data add up?

Differences in guidelines used by countries to record and report trade data.

Broadly speaking, there are two main approaches used to estimate international merchandise trade:

• The first approach relies on estimating trade from customs records , often complementing or correcting figures with data from enterprise surveys and administrative records associated with taxation. The main manual providing guidelines for this approach is the International Merchandise Trade Statistics Manual (IMTS).
• The second approach relies on estimating trade from macroeconomic data , typically National Accounts . The main manual providing guidelines for this approach is the Balance of Payments and International Investment Position Manual (BPM6), which was drafted in parallel with the 2008 System of National Accounts of the United Nations (SNA 2008). The idea behind this approach is to record changes in economic ownership. 40

Under these two approaches, it is common to distinguish between 'traded merchandise' and 'traded goods'. The distinction is often made because goods simply being transported through a country (i.e., goods in transit) are not considered to change a country's stock of material resources and are hence often excluded from the more narrow concept of 'merchandise trade'.

Also, adding to the complexity, countries often rely on measurement protocols developed alongside approaches and concepts that are not perfectly compatible to begin with. In Europe, for example, countries use the 'Compilers guide on European statistics on international trade in goods'.

Measurement error and other inconsistencies

Even when two sources rely on the same broad accounting approach, discrepancies arise because countries fail to adhere perfectly to the protocols.

In theory, for example, the exports of country A to country B should mirror the imports of country B from country A. But in practice this is rarely the case because of differences in valuation. According to the BPM6, imports, and exports should be recorded in the balance of payments accounts on a ' free on board (FOB) basis', which means using prices that include all charges up to placing the goods on board a ship at the port of departure. Yet many countries stick to FOB values only for exports, and use CIF values for imports (CIF stands for 'Cost, Insurance and Freight', and includes the costs of transportation). 41

The chart here gives you an idea of how large import-export asymmetries are. Shown are the differences between the value of goods that each country reports exporting to the US, and the value of goods that the US reports importing from the same countries. For example, for China, the figure in the chart corresponds to the “Value of merchandise imports in the US from China” minus the “Value of merchandise exports from China to the US”.

The differences in the chart here, which are both positive and negative, suggest that there is more going on than differences in FOB vs. CIF values. If all asymmetries were coming from FOB-CIF differences, then we should only see positive values in the chart (recall that, unlike FOB values, CIF values include the cost of transportation, so CIF values are larger).

What else may be going on here?

Another common source of measurement error relates to the inconsistent attribution of trade partners. An example is failure to follow the guidelines on how to treat goods passing through intermediary countries for processing or merchanting purposes. As global production chains become more complex, countries find it increasingly difficult to unambiguously establish the origin and final destination of merchandise, even when rules are established in the manuals. 42

And there are still more potential sources of discrepancies. For example differences in customs and tax regimes, and differences between "general" and "special" trade systems (i.e. differences between statistical territories and actual country borders, which do not often coincide because of things like 'custom free zones'). 43

Even when two sources have identical trade estimates, inconsistencies in published data can arise from differences in exchange rates. If a dataset reports cross-country trade data in US dollars, estimates will vary depending on the exchange rates used. Different exchange rates will lead to conflicting estimates, even if figures in local currency units are consistent.

A checklist for comparing sources

Asymmetries in international trade statistics are large and arise for a variety of reasons. These include conceptual inconsistencies across measurement standards and inconsistencies in the way countries apply agreed-upon protocols. Here's a checklist of issues to keep in mind when comparing sources.

• Differences in underlying records: is trade measured from National Accounts data rather than directly from custom or tax records?
• Differences in import and export valuations: are transactions valued at FOB or CIF prices?
• Inconsistent attribution of trade partners: how is the origin and final destination of merchandise established?
• Difference between 'goods' and 'merchandise': how are re-importing, re-exporting, and intermediary merchanting transactions recorded?
• Exchange rates: how are values converted from local currency units to the currency that allows international comparisons (most often the US-$)?
• Differences between 'general' and 'special' trade system: how is trade recorded for custom-free zones?
• Other issues: Time of recording, confidentiality policies, product classification, deliberate mis-invoicing for illicit purposes.

Many organizations producing trade data have long recognized these factors. Indeed, international organizations often incorporate corrections in an attempt to improve data quality.

The OECD's Balanced International Merchandise Trade Statistics , for example, uses its own approach to correct and reconcile international merchandise trade statistics. 44

The corrections applied in the OECD's 'balanced' series make this the best source for cross-country comparisons. However, this dataset has low coverage across countries, and it only goes back to 2011. This is an important obstacle since the complex adjustments introduced by the OECD imply we can't easily improve coverage by appending data from other sources. At Our World in Data we have chosen to rely on CEPII as the main source for exploring long-run changes in international trade, but we also rely on World Bank and OECD data for up-to-date cross-country comparisons.

There are two key lessons from all of this. The first lesson is that, for most users of trade data out there, there is no obvious way of choosing between sources. And the second lesson is that, because of statistical glitches, researchers and policymakers should always take analyses of trade data with a pinch of salt. For example, in a recent high-profile report , researchers attributed mismatches in bilateral trade data to illicit financial flows through trade mis-invoicing (or trade-based money laundering). As we show here, this interpretation of the data is not appropriate, since mismatches in the data can, and often do arise from measurement inconsistencies rather than malfeasance. 45

Hopefully, the discussion and checklist above can help researchers better interpret and choose between conflicting data sources.

Interactive charts on Trade and Globalization

The openness index, when calculated for the world as a whole, includes double-counting of transactions: When country A sells goods to country B, this shows up in the data both as an import (B imports from A) and as an export (A sells to B).

Indeed, if you compare the chart showing the global trade openness index and the chart showing global merchandise exports as a share of GDP , you find that the former is almost twice as large as the latter.

Why is the global openness index not exactly twice the value reported in the chart plotting global merchandise exports? There a three reasons.

First, the global openness index uses different sources. Second, the global openness index includes trade in goods and services, while merchandise exports include goods but not services. And third, the amount that country A reports exporting to country B does not usually match the amount that B reports importing from A.

We explore this in more detail in our measurement section .

Leonor Freire Costa, Nuno Palma, and Jaime Reis (2015) – The great escape? The contribution of the empire to Portugal's economic growth, 1500–1800 Leonor Freire Costa Nuno Palma Jaime Reis European Review of Economic History, Volume 19, Issue 1, 1 February 2015, Pages 1–22, https://doi.org/10.1093/ereh/heu019

Broadberry and O'Rourke (2010) - The Cambridge Economic History of Modern Europe: Volume 2, 1870 to the Present. Cambridge University Press.

Integration in the goods markets is measured here through the 'trade openness index', which is defined by the sum of exports and imports as a share of GDP. In our interactive chart you can explore trends in trade openness over this period for a selection of European countries.

Broadberry and O'Rourke (2010) - The Cambridge Economic History of Modern Europe: Volume 2, 1870 to the Present. Cambridge University Press. The graph depicts the “evolution of three indicators measuring integration in commodity, labor, and capital markets over the long run. Commodity market integration is measured by computing the ratio of exports to GDP. Labor market integration is measured by dividing the migratory turnover by population. Financial integration is measured using Feldstein–Horioka estimators of current account disconnectedness.”

We also have the same chart but showing imports .

We also have the same chart, but showing imports .

This interactive chart shows trade in services as a share of GDP across countries and regions.

This chart was inspired by a chart from Helpman, E., Melitz, M., & Rubinstein, Y. (2007). Estimating trade flows: Trading partners and trading volumes (No. w12927). National Bureau of Economic Research.

We also have the same data, but as a stacked-area chart .

There are different ways of capturing this correlation. I focus here on all countries with data over the period 1945-2014. You can find a similar chart using different data sources and time periods in Ventura, J. (2005). A global view of economic growth. Handbook of economic growth, 1, 1419-1497. Online here .

The textbook The Economy: Economics for a Changing World explains this in more detail.

Frankel, J. A., & Romer, D. H. (1999). Does trade cause growth? American Economic Review, 89(3), 379-399.

Alcalá, F., & Ciccone, A. (2004). Trade and productivity . The Quarterly Journal of Economics, 119(2), 613-646.

There are many papers that try to answer this specific question with macro data. For an overview of papers and methods see: Durlauf, S. N., Johnson, P. A., & Temple, J. R. (2005). Growth econometrics. Handbook of economic growth, 1, 555-677.

Pavcnik, N. (2002). Trade liberalization, exit, and productivity improvements: Evidence from Chilean plants . The Review of Economic Studies, 69(1), 245-276.

Bloom, N., Draca, M., & Van Reenen, J. (2016). Trade induced technical change? The impact of Chinese imports on innovation, IT and productivity. The Review of Economic Studies, 83(1), 87-117. Available online here .

You can read more about these economic concepts, and the related predictions from economic theory, in Chapter 18 of the textbook The Economy: Economics for a Changing World .

David, H., Dorn, D., & Hanson, G. H. (2013). The China syndrome: Local labor market effects of import competition in the United States . American Economic Review, 103(6), 2121-68.

It's important to mention here that the economist Jonathan Rothwell wrote a paper suggesting these findings are the result of a statistical illusion. Rothwell's critique received some attention from the media , but Autor and coauthors provided a reply , which I think successfully refutes this claim.

Magyari, I. (2017). Firm Reorganization, Chinese Imports, and US Manufacturing Employment . US Census Bureau, Center for Economic Studies.

Topalova, P. (2010). Factor immobility and regional impacts of trade liberalization: Evidence on poverty from India . American Economic Journal: Applied Economics, 2(4), 1-41.

Donaldson, D. (2018). Railroads of the Raj: Estimating the impact of transportation infrastructure . American Economic Review, 108(4-5), 899-934.

Porto, G (2006). Using Survey Data to Assess the Distributional Effects of Trade Policy. Journal of International Economics 70 (2006) 140–160.

Trefler, D. (2004). The long and short of the Canada-US free trade agreement . American Economic Review, 94(4), 870-895.

See: (i) Feenstra, R. C., & Weinstein, D. E. (2017). Globalization, markups, and US welfare . Journal of Political Economy, 125(4), 1040-1074. (ii) Fajgelbaum, P. D., & Khandelwal, A. K. (2016). Measuring the unequal gains from trade . The Quarterly Journal of Economics, 131(3), 1113-1180.

Atkin, David, Benjamin Faber, and Marco Gonzalez-Navarro. "Retail globalization and household welfare: Evidence from Mexico." Journal of Political Economy 126.1 (2018): 1-73.

In the paper, Atkin and coauthors explore the reasons for this and find that the regressive nature of the distribution is mainly due to richer households placing higher weight on the product variety and shopping amenities on offer at these new foreign stores.

Berlingieri, G., Breinlich, H., & Dhingra, S. (2018). The Impact of Trade Agreements on Consumer Welfare—Evidence from the EU Common External Trade Policy. Journal of the European Economic Association.

Nobel laureate Paul Samuelson (1969) was once challenged by the mathematician Stanislaw Ulam: "Name me one proposition in all of the social sciences which is both true and non-trivial." It was several years later than he thought of the correct response: comparative advantage. "That it is logically true need not be argued before a mathematician; that is is not trivial is attested by the thousands of important and intelligent men who have never been able to grasp the doctrine for themselves or to believe it after it was explained to them."

(NB. This is an excerpt from https://www.wto.org/english/res_e/reser_e/cadv_e.htm)

Bernhofen, D., & Brown, J. (2004). A Direct Test of the Theory of Comparative Advantage: The Case of Japan. Journal of Political Economy, 112(1), 48-67. doi:1. Retrieved from http://www.jstor.org/stable/10.1086/379944 doi:1

Eaton, J., & Kortum, S. (2002). Technology, geography, and trade. Econometrica, 70(5), 1741-1779.

Crozet, M., & Koenig, P. (2010). Structural Gravity Equations with Intensive and Extensive Margins. The Canadian Journal of Economics / Revue Canadienne D'Economique, 43(1), 41-62. Retrieved from http://www.jstor.org/stable/40389555

Manova, Kalina. "Credit constraints, heterogeneous firms, and international trade." The Review of Economic Studies 80.2 (2013): 711-744.

Melitz, J. (2008). Language and foreign trade. European Economic Review, 52(4), 667-699.

Evenett, S. J., & Keller, W. (2002). On theories explaining the success of the gravity equation . Journal of Political Economy, 110(2), 281-316.

For more information on how the COW trade datasets were constructed see: (i) Barbieri, Katherine, and Omar M. G. Omar Keshk. 2016. Correlates of War Project Trade Data Set Codebook, Version 4.0. Available at http://correlatesofwar.org and (ii) Barbieri, Katherine, Omar M. G. Keshk, and Brian Pollins. 2009. TRADING DATA: Evaluating our Assumptions and Coding Rules. Conflict Management and Peace Science, 26(5): 471–491.

Further information on CEPII's methodology can be found in their working paper .

The chart includes series labeled by the sources as 'merchandise trade' and 'goods trade'. As we explain below, part of the asymmetries in trade data comes from the fact that, although 'merchandise' and 'goods' are equivalent in the dictionary, these two terms often measure related but different things.

For example, if there is no change in ownership (e.g. a firm exports goods to its factory in another country for processing, and then re-imports the processed goods) the manual says that statistical agencies should only record the net difference in value. You can find more details about this in an OECD Statistics Briefing .

This issue is actually also a source of disagreement between National Accounts data and customs data. You can read more about it in this report: Harrison, Anne (2013) FOB/CIF Issue in Merchandise Trade/Transport of Goods in BPM6 and the 2008 SNA, Twenty-Fifth Meeting of the IMF Committee on Balance of Payments Statistics, Washington, D.C .

Precisely because of the difficulty that arises when trying to establish the origin and final destination of merchandise, some sources distinguish between national and dyadic (i.e. 'directed') trade estimates.

For more details about general and special trade see the Eurostat glossary .

The OECD approach consists of four steps, which they describe as follows: "First, data are collected and organized, and imports are converted to FOB prices to match the valuation of exports. Secondly, data are adjusted for several specific large problems known to drive asymmetries. Presently these include “modular” adjustments for unallocated and confidential trade; for exports by Hong Kong, China; for Swiss non-monetary gold; and for clear-cut cases of product misclassifications. The list of modules is expected to grow over time. In the third step, adjusted data are balanced using a “Symmetry Index” that weights exports and imports. As the final step, the data are also converted to Classification of Products by Activity (CPA) products to better align with National Accounts statistics, such as in national Supply-Use tables." You can read more about it here . In addition to the OECD, other sources also use corrections. The IMF's DOTS dataset, for example, uses a 6 percent rule for converting import valuations (in CIF) into export values (in FOB). More information can be found in the IMF's (2018) working paper on 'New Estimates for Direction of Trade Statistics'.

For more details on this see Forstater, M. (2018) Illicit Financial Flows, Trade Misinvoicing, and Multinational Tax Avoidance: The Same or Different? , CGD Policy Paper 123.

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Peer-reviewed

Research Article

Globalization and Economic Growth: Empirical Evidence on the Role of Complementarities

* E-mail: [email protected]

Affiliations Faculty of Management, Universiti Teknologi Malaysia (UTM), Johor, Malaysia, Department of Management, Mobarakeh Branch, Islamic Azad University, Isfahan, Iran

Affiliation Applied Statistics Department, Economics and Administration Faculty, University of Malaya, Kuala Lumpur, Malaysia

• Parisa Samimi, 
• Hashem Salarzadeh Jenatabadi

• Published: April 10, 2014
• https://doi.org/10.1371/journal.pone.0087824
• Reader Comments

This study was carried out to investigate the effect of economic globalization on economic growth in OIC countries. Furthermore, the study examined the effect of complementary policies on the growth effect of globalization. It also investigated whether the growth effect of globalization depends on the income level of countries. Utilizing the generalized method of moments (GMM) estimator within the framework of a dynamic panel data approach, we provide evidence which suggests that economic globalization has statistically significant impact on economic growth in OIC countries. The results indicate that this positive effect is increased in the countries with better-educated workers and well-developed financial systems. Our finding shows that the effect of economic globalization also depends on the country’s level of income. High and middle-income countries benefit from globalization whereas low-income countries do not gain from it. In fact, the countries should receive the appropriate income level to be benefited from globalization. Economic globalization not only directly promotes growth but also indirectly does so via complementary reforms.

Citation: Samimi P, Jenatabadi HS (2014) Globalization and Economic Growth: Empirical Evidence on the Role of Complementarities. PLoS ONE 9(4): e87824. https://doi.org/10.1371/journal.pone.0087824

Editor: Rodrigo Huerta-Quintanilla, Cinvestav-Merida, Mexico

Received: November 5, 2013; Accepted: January 2, 2014; Published: April 10, 2014

Copyright: © 2014 Samimi, Jenatabadi. This is an open-access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Funding: The study is supported by the Ministry of Higher Education of Malaysia, Malaysian International Scholarship (MIS). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Competing interests: The authors have declared that no competing interests exist.

Introduction

Globalization, as a complicated process, is not a new phenomenon and our world has experienced its effects on different aspects of lives such as economical, social, environmental and political from many years ago [1] – [4] . Economic globalization includes flows of goods and services across borders, international capital flows, reduction in tariffs and trade barriers, immigration, and the spread of technology, and knowledge beyond borders. It is source of much debate and conflict like any source of great power.

The broad effects of globalization on different aspects of life grab a great deal of attention over the past three decades. As countries, especially developing countries are speeding up their openness in recent years the concern about globalization and its different effects on economic growth, poverty, inequality, environment and cultural dominance are increased. As a significant subset of the developing world, Organization of Islamic Cooperation (OIC) countries are also faced by opportunities and costs of globalization. Figure 1 shows the upward trend of economic globalization among different income group of OIC countries.

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https://doi.org/10.1371/journal.pone.0087824.g001

Although OICs are rich in natural resources, these resources were not being used efficiently. It seems that finding new ways to use the OICs economic capacity more efficiently are important and necessary for them to improve their economic situation in the world. Among the areas where globalization is thought, the link between economic growth and globalization has been become focus of attention by many researchers. Improving economic growth is the aim of policy makers as it shows the success of nations. Due to the increasing trend of globalization, finding the effect of globalization on economic growth is prominent.

The net effect of globalization on economic growth remains puzzling since previous empirical analysis did not support the existent of a systematic positive or negative impact of globalization on growth. Most of these studies suffer from econometrics shortcoming, narrow definition of globalization and small number of countries. The effect of economic globalization on the economic growth in OICs is also ambiguous. Existing empirical studies have not indicated the positive or negative impact of globalization in OICs. The relationship between economic globalization and economic growth is important especially for economic policies.

Recently, researchers have claimed that the growth effects of globalization depend on the economic structure of the countries during the process of globalization. The impact of globalization on economic growth of countries also could be changed by the set of complementary policies such as improvement in human capital and financial system. In fact, globalization by itself does not increase or decrease economic growth. The effect of complementary policies is very important as it helps countries to be successful in globalization process.

In this paper, we examine the relationship between economic globalization and growth in panel of selected OIC countries over the period 1980–2008. Furthermore, we would explore whether the growth effects of economic globalization depend on the set of complementary policies and income level of OIC countries.

The paper is organized as follows. The next section consists of a review of relevant studies on the impact of globalization on growth. Afterward the model specification is described. It is followed by the methodology of this study as well as the data sets that are utilized in the estimation of the model and the empirical strategy. Then, the econometric results are reported and discussed. The last section summarizes and concludes the paper with important issues on policy implications.

Literature Review

The relationship between globalization and growth is a heated and highly debated topic on the growth and development literature. Yet, this issue is far from being resolved. Theoretical growth studies report at best a contradictory and inconclusive discussion on the relationship between globalization and growth. Some of the studies found positive the effect of globalization on growth through effective allocation of domestic resources, diffusion of technology, improvement in factor productivity and augmentation of capital [5] , [6] . In contrast, others argued that globalization has harmful effect on growth in countries with weak institutions and political instability and in countries, which specialized in ineffective activities in the process of globalization [5] , [7] , [8] .

Given the conflicting theoretical views, many studies have been empirically examined the impact of the globalization on economic growth in developed and developing countries. Generally, the literature on the globalization-economic growth nexus provides at least three schools of thought. First, many studies support the idea that globalization accentuates economic growth [9] – [19] . Pioneering early studies include Dollar [9] , Sachs et al. [15] and Edwards [11] , who examined the impact of trade openness by using different index on economic growth. The findings of these studies implied that openness is associated with more rapid growth.

In 2006, Dreher introduced a new comprehensive index of globalization, KOF, to examine the impact of globalization on growth in an unbalanced dynamic panel of 123 countries between 1970 and 2000. The overall result showed that globalization promotes economic growth. The economic and social dimensions have positive impact on growth whereas political dimension has no effect on growth. The robustness of the results of Dreher [19] is approved by Rao and Vadlamannati [20] which use KOF and examine its impact on growth rate of 21 African countries during 1970–2005. The positive effect of globalization on economic growth is also confirmed by the extreme bounds analysis. The result indicated that the positive effect of globalization on growth is larger than the effect of investment on growth.

The second school of thought, which supported by some scholars such as Alesina et al. [21] , Rodrik [22] and Rodriguez and Rodrik [23] , has been more reserve in supporting the globalization-led growth nexus. Rodriguez and Rodrik [23] challenged the robustness of Dollar (1992), Sachs, Warner et al. (1995) and Edwards [11] studies. They believed that weak evidence support the idea of positive relationship between openness and growth. They mentioned the lack of control for some prominent growth indicators as well as using incomprehensive trade openness index as shortcomings of these works. Warner [24] refuted the results of Rodriguez and Rodrik (2000). He mentioned that Rodriguez and Rodrik (2000) used an uncommon index to measure trade restriction (tariffs revenues divided by imports). Warner (2003) explained that they ignored all other barriers on trade and suggested using only the tariffs and quotas of textbook trade policy to measure trade restriction in countries.

Krugman [25] strongly disagreed with the argument that international financial integration is a major engine of economic development. This is because capital is not an important factor to increase economic development and the large flows of capital from rich to poor countries have never occurred. Therefore, developing countries are unlikely to increase economic growth through financial openness. Levine [26] was more optimistic about the impact of financial liberalization than Krugman. He concluded, based on theory and empirical evidences, that the domestic financial system has a prominent effect on economic growth through boosting total factor productivity. The factors that improve the functioning of domestic financial markets and banks like financial integration can stimulate improvements in resource allocation and boost economic growth.

The third school of thoughts covers the studies that found nonlinear relationship between globalization and growth with emphasis on the effect of complementary policies. Borensztein, De Gregorio et al. (1998) investigated the impact of FDI on economic growth in a cross-country framework by developing a model of endogenous growth to examine the role of FDI in the economic growth in developing countries. They found that FDI, which is measured by the fraction of products produced by foreign firms in the total number of products, reduces the costs of introducing new varieties of capital goods, thus increasing the rate at which new capital goods are introduced. The results showed a strong complementary effect between stock of human capital and FDI to enhance economic growth. They interpreted this finding with the observation that the advanced technology, brought by FDI, increases the growth rate of host economy when the country has sufficient level of human capital. In this situation, the FDI is more productive than domestic investment.

Calderón and Poggio [27] examined the structural factors that may have impact on growth effect of trade openness. The growth benefits of rising trade openness are conditional on the level of progress in structural areas including education, innovation, infrastructure, institutions, the regulatory framework, and financial development. Indeed, they found that the lack of progress in these areas could restrict the potential benefits of trade openness. Chang et al. [28] found that the growth effects of openness may be significantly improved when the investment in human capital is stronger, financial markets are deeper, price inflation is lower, and public infrastructure is more readily available. Gu and Dong [29] emphasized that the harmful or useful growth effect of financial globalization heavily depends on the level of financial development of economies. In fact, if financial openness happens without any improvement in the financial system of countries, growth will replace by volatility.

However, the review of the empirical literature indicates that the impact of the economic globalization on economic growth is influenced by sample, econometric techniques, period specifications, observed and unobserved country-specific effects. Most of the literature in the field of globalization, concentrates on the effect of trade or foreign capital volume (de facto indices) on economic growth. The problem is that de facto indices do not proportionally capture trade and financial globalization policies. The rate of protections and tariff need to be accounted since they are policy based variables, capturing the severity of trade restrictions in a country. Therefore, globalization index should contain trade and capital restrictions as well as trade and capital volume. Thus, this paper avoids this problem by using a comprehensive index which called KOF [30] . The economic dimension of this index captures the volume and restriction of trade and capital flow of countries.

Despite the numerous studies, the effect of economic globalization on economic growth in OIC is still scarce. The results of recent studies on the effect of globalization in OICs are not significant, as they have not examined the impact of globalization by empirical model such as Zeinelabdin [31] and Dabour [32] . Those that used empirical model, investigated the effect of globalization for one country such as Ates [33] and Oyvat [34] , or did it for some OIC members in different groups such as East Asia by Guillaumin [35] or as group of developing countries by Haddad et al. [36] and Warner [24] . Therefore, the aim of this study is filling the gap in research devoted solely to investigate the effects of economic globalization on growth in selected OICs. In addition, the study will consider the impact of complimentary polices on the growth effects of globalization in selected OIC countries.

Model Specification

Methodology and Data

This paper applies the generalized method of moments (GMM) panel estimator first suggested by Anderson and Hsiao [38] and later developed further by Arellano and Bond [39] . This flexible method requires only weak assumption that makes it one of the most widely used econometric techniques especially in growth studies. The dynamic GMM procedure is as follow: first, to eliminate the individual effect form dynamic growth model, the method takes differences. Then, it instruments the right hand side variables by using their lagged values. The last step is to eliminate the inconsistency arising from the endogeneity of the explanatory variables.

The consistency of the GMM estimator depends on two specification tests. The first is a Sargan test of over-identifying restrictions, which tests the overall validity of the instruments. Failure to reject the null hypothesis gives support to the model. The second test examines the null hypothesis that the error term is not serially correlated.

The GMM can be applied in one- or two-step variants. The one-step estimators use weighting matrices that are independent of estimated parameters, whereas the two-step GMM estimator uses the so-called optimal weighting matrices in which the moment conditions are weighted by a consistent estimate of their covariance matrix. However, the use of the two-step estimator in small samples, as in our study, has problem derived from proliferation of instruments. Furthermore, the estimated standard errors of the two-step GMM estimator tend to be small. Consequently, this paper employs the one-step GMM estimator.

In the specification, year dummies are used as instrument variable because other regressors are not strictly exogenous. The maximum lags length of independent variable which used as instrument is 2 to select the optimal lag, the AR(1) and AR(2) statistics are employed. There is convincing evidence that too many moment conditions introduce bias while increasing efficiency. It is, therefore, suggested that a subset of these moment conditions can be used to take advantage of the trade-off between the reduction in bias and the loss in efficiency. We restrict the moment conditions to a maximum of two lags on the dependent variable.

Data and Empirical Strategy

We estimated Eq. (1) using the GMM estimator based on a panel of 33 OIC countries. Table S1 in File S1 lists the countries and their income groups in the sample. The choice of countries selected for this study is primarily dictated by availability of reliable data over the sample period among all OIC countries. The panel covers the period 1980–2008 and is unbalanced. Following [40] , we use annual data in order to maximize sample size and to identify the parameters of interest more precisely. In fact, averaging out data removes useful variation from the data, which could help to identify the parameters of interest with more precision.

The dependent variable in our sample is logged per capita real GDP, using the purchasing power parity (PPP) exchange rates and is obtained from the Penn World Table (PWT 7.0). The economic dimension of KOF index is derived from Dreher et al. [41] . We use some other variables, along with economic globalization to control other factors influenced economic growth. Table S2 in File S2 shows the variables, their proxies and source that they obtain.

We relied on the three main approaches to capture the effects of economic globalization on economic growth in OIC countries. The first one is the baseline specification (Eq. (1)) which estimates the effect of economic globalization on economic growth.

The second approach is to examine whether the effect of globalization on growth depends on the complementary policies in the form of level of human capital and financial development. To test, the interactions of economic globalization and financial development (KOF*FD) and economic globalization and human capital (KOF*HCS) are included as additional explanatory variables, apart from the standard variables used in the growth equation. The KOF, HCS and FD are included in the model individually as well for two reasons. First, the significance of the interaction term may be the result of the omission of these variables by themselves. Thus, in that way, it can be tested jointly whether these variables affect growth by themselves or through the interaction term. Second, to ensure that the interaction term did not proxy for KOF, HCS or FD, these variables were included in the regression independently.

In the third approach, in order to study the role of income level of countries on the growth effect of globalization, the countries are split based on income level. Accordingly, countries were classified into three groups: high-income countries (3), middle-income (21) and low-income (9) countries. Next, dummy variables were created for high-income (Dum 3), middle-income (Dum 2) and low-income (Dum 1) groups. Then interaction terms were created for dummy variables and KOF. These interactions will be added to the baseline specification.

Findings and Discussion

This section presents the empirical results of three approaches, based on the GMM -dynamic panel data; in Tables 1 – 3 . Table 1 presents a preliminary analysis on the effects of economic globalization on growth. Table 2 displays coefficient estimates obtained from the baseline specification, which used added two interaction terms of economic globalization and financial development and economic globalization and human capital. Table 3 reports the coefficients estimate from a specification that uses dummies to capture the impact of income level of OIC countries on the growth effect of globalization.

https://doi.org/10.1371/journal.pone.0087824.t001

https://doi.org/10.1371/journal.pone.0087824.t002

https://doi.org/10.1371/journal.pone.0087824.t003

The results in Table 1 indicate that economic globalization has positive impact on growth and the coefficient is significant at 1 percent level. The positive effect is consistent with the bulk of the existing empirical literature that support beneficial effect of globalization on economic growth [9] , [11] , [13] , [19] , [42] , [43] .

According to the theoretical literature, globalization enhances economic growth by allocating resources more efficiently as OIC countries that can be specialized in activities with comparative advantages. By increasing the size of markets through globalization, these countries can be benefited from economic of scale, lower cost of research and knowledge spillovers. It also augments capital in OICs as they provide a higher return to capital. It has raised productivity and innovation, supported the spread of knowledge and new technologies as the important factors in the process of development. The results also indicate that growth is enhanced by lower level of government expenditure, lower level of inflation, higher level of human capital, deeper financial development, more domestic investment and better institutions.

Table 2 represents that the coefficients on the interaction between the KOF, HCS and FD are statistically significant at 1% level and with the positive sign. The findings indicate that economic globalization not only directly promotes growth but also indirectly does via complementary reforms. On the other hand, the positive effect of economic globalization can be significantly enhanced if some complementary reforms in terms of human capital and financial development are undertaken.

In fact, the implementation of new technologies transferred from advanced economies requires skilled workers. The results of this study confirm the importance of increasing educated workers as a complementary policy in progressing globalization. However, countries with higher level of human capital can be better and faster to imitate and implement the transferred technologies. Besides, the financial openness brings along the knowledge and managerial for implementing the new technology. It can be helpful in improving the level of human capital in host countries. Moreover, the strong and well-functioned financial systems can lead the flow of foreign capital to the productive and compatible sectors in developing countries. Overall, with higher level of human capital and stronger financial systems, the globalized countries benefit from the growth effect of globalization. The obtained results supported by previous studies in relative to financial and trade globalization such as [5] , [27] , [44] , [45] .

Table (3 ) shows that the estimated coefficients on KOF*dum3 and KOF*dum2 are statistically significant at the 5% level with positive sign. The KOF*dum1 is statistically significant with negative sign. It means that increase in economic globalization in high and middle-income countries boost economic growth but this effect is diverse for low-income countries. The reason might be related to economic structure of these countries that are not received to the initial condition necessary to be benefited from globalization. In fact, countries should be received to the appropriate income level to be benefited by globalization.

The diagnostic tests in tables 1 – 3 show that the estimated equation is free from simultaneity bias and second-order correlation. The results of Sargan test accept the null hypothesis that supports the validity of the instrument use in dynamic GMM.

Conclusions and Implications

Numerous researchers have investigated the impact of economic globalization on economic growth. Unfortunately, theoretical and the empirical literature have produced conflicting conclusions that need more investigation. The current study shed light on the growth effect of globalization by using a comprehensive index for globalization and applying a robust econometrics technique. Specifically, this paper assesses whether the growth effects of globalization depend on the complementary polices as well as income level of OIC countries.

Using a panel data of OIC countries over the 1980–2008 period, we draw three important conclusions from the empirical analysis. First, the coefficient measuring the effect of the economic globalization on growth was positive and significant, indicating that economic globalization affects economic growth of OIC countries in a positive way. Second, the positive effect of globalization on growth is increased in countries with higher level of human capital and deeper financial development. Finally, economic globalization does affect growth, whether the effect is beneficial depends on the level of income of each group. It means that economies should have some initial condition to be benefited from the positive effects of globalization. The results explain why some countries have been successful in globalizing world and others not.

The findings of our study suggest that public policies designed to integrate to the world might are not optimal for economic growth by itself. Economic globalization not only directly promotes growth but also indirectly does so via complementary reforms.

The policy implications of this study are relatively straightforward. Integrating to the global economy is only one part of the story. The other is how to benefits more from globalization. In this respect, the responsibility of policymakers is to improve the level of educated workers and strength of financial systems to get more opportunities from globalization. These economic policies are important not only in their own right, but also in helping developing countries to derive the benefits of globalization.

However, implementation of new technologies transferred from advanced economies requires skilled workers. The results of this study confirm the importance of increasing educated workers as a complementary policy in progressing globalization. In fact, countries with higher level of human capital can better and faster imitate and implement the transferred technologies. The higher level of human capital and certain skill of human capital determine whether technology is successfully absorbed across countries. This shows the importance of human capital in the success of countries in the globalizing world.

Financial openness in the form of FDI brings along the knowledge and managerial for implementing the new technology. It can be helpful in upgrading the level of human capital in host countries. Moreover, strong and well-functioned financial systems can lead the flow of foreign capital to the productive and compatible sectors in OICs.

In addition, the results show that economic globalization does affect growth, whether the effect is beneficial depends on the level of income of countries. High and middle income countries benefit from globalization whereas low-income countries do not gain from it. As Birdsall [46] mentioned globalization is fundamentally asymmetric for poor countries, because their economic structure and markets are asymmetric. So, the risks of globalization hurt the poor more. The structure of the export of low-income countries heavily depends on primary commodity and natural resource which make them vulnerable to the global shocks.

The major research limitation of this study was the failure to collect data for all OIC countries. Therefore future research for all OIC countries would shed light on the relationship between economic globalization and economic growth.

Supporting Information

Sample of Countries.

https://doi.org/10.1371/journal.pone.0087824.s001

The Name and Definition of Indicators.

https://doi.org/10.1371/journal.pone.0087824.s002

Author Contributions

Conceived and designed the experiments: PS. Performed the experiments: PS. Analyzed the data: PS. Contributed reagents/materials/analysis tools: PS HSJ. Wrote the paper: PS HSJ.

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Effects of Economic Globalization

Globalization has led to increases in standards of living around the world, but not all of its effects are positive for everyone.

Social Studies, Economics, World History

Bangladesh Garment Workers

The garment industry in Bangladesh makes clothes that are then shipped out across the world. It employs as many as four million people, but the average worker earns less in a month than a U.S. worker earns in a day.

Photograph by Mushfiqul Alam

Globalization is how different parts of the world are connected. People, ideas, and goods move more easily around the world than they did in the past. Globalization also changes the way companies and countries trade with each other. This shows how globalization affects economies. Globalization has improved people's lives in poor countries. However, globalization sometimes doesn't bring new jobs or money to other countries.

Globalization in the Past Globalization is not new. People have always traded goods with their neighbors. At one point, people began traveling to distant places. People traded their own goods for other products. The Silk Road is an example of early globalization. The Silk Road was an old system of trade routes. The routes connected the continents of Europe, Africa, and Asia. China is a country in Asia. The Silk Road was helpful because there were no trains then. Europeans traded products made of glass and other goods for Chinese silk and spices. Later on, trade developed between Europe, Africa, and America. Sadly, most of it involved slavery. This showed how globalization can truly hurt people. European ships carried products from Europe to Africa. In Africa, the products were traded for enslaved Africans. These enslaved Africans were then forced to go to the Americas. From the Americas, the ships carried raw materials like sugar, tobacco, and cotton back to Europe. In Europe, the raw materials were used to make products. Then those products were brought back to Africa again. The cycle started over. This cycle was called the Triangular Trade. Globalization has grown in recent years. It is easier to send money and products to other countries. It is simpler for companies to contact other countries. Countries signed agreements that make it all easier for them. Benefits of Globalization Globalization gives large companies an advantage. Companies can get materials for less money in poorer countries. They can pay less money to workers in those countries. Also, different parts of a product may be made in different countries. T-shirts made of cotton are one example. Cotton is a plant. It might be grown in one country. Then, in another country the T-shirt is woven from those pieces of cotton. The result is more jobs in countries where jobs are needed. More jobs make people's lives more comfortable. People who buy the products are doing better, too. In general, globalization makes prices of goods lower. For example, globalization makes t-shirts cheaper. Also, there are more goods for people to choose from. Downsides Not everything about globalization is good. Many jobs were moved to different countries. The people who had those jobs before were left without jobs. In poorer countries, the working conditions of people are often very difficult. People there are paid very little for a whole month of work. A worker in the United States may get more money in one day than they do in a whole month. Also, children of poorer families may quit school so they can work. Into the Future Globalization is not perfect. However, globalization will continue. The result is a more connected world.

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How our interconnected world is changing

Globalization isn’t going away, but it is changing, according to recent research  from the McKinsey Global Institute (MGI). In this episode of The McKinsey Podcast , MGI director Olivia White speaks with global editorial director Lucia Rahilly about the flows of goods, knowledge, and labor that drive global integration—and about what reshaping these flows might mean for our interconnected future.

After, global brewer AB InBev has flourished in the throes of what its CFO Fernando Tennenbaum describes as the recent “twists and turns.” Find out how in this excerpt from “ How to thrive in a downturn: A CFO perspective ,” recorded in December 2022 as part of our McKinsey Live series. 1 Please note that market conditions may have changed since this interview was conducted in December 2022.

The McKinsey Podcast is cohosted by Roberta Fusaro and Lucia Rahilly.

This transcript has been edited for clarity and length.

Globalization is here to stay

Lucia Rahilly: Pundits and other public figures have wrongly predicted the demise of globalization for what seems like years. Now, given the war in Ukraine and other disruptions, many are once again sounding its death knell. What does this new MGI research  tell us about the fate of globalization? Is it really in retreat?

Olivia White: The flows of goods, the real tangible stuff, have leveled off after nearly 20-plus years of growing at twice the rate of GDP. But the flows of goods kept pace with GDP and even rose a little bit, surprisingly, in the past couple of years. Since GDP has been growing, that means actual ties have gotten stronger.

One of the most striking findings from this research was that flows representing knowledge and know-how, such as IP and data, and flows of services and international students have accelerated and are now growing faster than the flow of goods. Flows of data grew by more than 40 percent per annum over the past ten years.

Lucia Rahilly: Goods are a smaller share of total flows, a smaller share of economic output, than in the past. That doesn’t necessarily sound like a bad thing. Could it be a sign of progress?

Olivia White: The fact that certain goods are growing less quickly than other types of flows shows this shift in our economy and what’s most important to the way the economy functions. It comes on the back of a long history of different factors that influence growth and shifts in the way patterns work. What’s happening, in part, is that a variety of countries are producing more domestically—first and foremost China. That has been driving a lot of the flow down, if you take the longitudinal view, over the past ten years versus before.

The world remains interdependent

Lucia Rahilly: How interdependent would you say we are at this stage? Could you give us some examples of the ways we’re interconnected?

Olivia White: The top line is, every region in the world depends on another significant region for at least 25 percent of a flow it values most.

In general, regions that are manufacturing regions—Europe, Asia–Pacific, and China, if we look at it on its own because it’s such a large economy—depend very strongly on the rest of the world for resources: food to some degree, but really energy and minerals of different sorts. I’ll give you a few examples.

In general, regions that are manufacturing regions depend very strongly on the rest of the world for resources: food to some degree, but really energy and minerals. Olivia White

China imports over 25 percent of its minerals, from places as far-flung as Brazil, Chile, and South Africa. China imports energy, particularly in the form of oil from the Middle East and Russia. Europe is emblematic of these forms of dependency on energy. It was dependent on Russia for over 50 percent of its energy, but now that has drastically changed.

In some other regions in the world—places that are resource rich, like the Middle East, sub-Saharan Africa, and Latin America—those places are highly dependent on the rest of the world for their manufactured goods. Well over half the world’s population lives in those places. They import well over 50 percent of their electronics and similar amounts of their pharmaceuticals. They are highly dependent on other parts of the world for things that are really quite critical to development and for modern life.

North America is somewhat of a different story. We don’t have any single spot of quite as great a dependency, at least at the broad category level. We import close to 25 percent of what we use in net value terms across the spectrum, both of resources and of manufactured goods.

This doesn’t yet speak of data and IP, where, for example, the US and Europe are fairly significant producers/exporters. A country like China is a very large consumer of IP.

Lucia Rahilly: How interdependent are we in terms of the global workforce?

Olivia White: This is quite striking. We asked how many workers in regions outside North America serve North American demand. And we asked the same question for Europe. It turns out that 60 million people in regions outside North America serve North American demand, and in Europe the corresponding number is 50 million.

These numbers are very substantial versus the working populations in those countries. So when you consider how much of what North Americans or Europeans are consuming could be produced onshore, by onshore labor, the answer is not even remotely close to those sorts of numbers—at least given the means of production or the way services are delivered today and the role people play in that.

Lucia Rahilly: Let’s turn to some of the categories of flows that have increased in recent years. What’s driving growth in global flows now that the trade in goods has stabilized?

Olivia White: Flows linked to knowledge and know-how. Knowledge services that have historically grown more slowly than manufactured goods and resources, with increased global connection over time, have flipped over the past ten years.

Professional services, such as engineering services, are among those more traditional trade flows that have been growing fastest, at about 6 percent a year, versus resources, which have slowed to just around two percent. Anything that involves real know-how—engineering, but also providing, say, call center support—is in that category.

The flows of IP are growing even faster. Now, IP is tricky because accounting for it is a very tricky thing to do. But it roughly looks at flows of the fun stuff. In the report we talk about Squid Game , but IP also includes movies, streaming platforms, music, and any sort of cultural elements that we consume.

It’s also important to consider flows of patents and ideas and the way countries or companies will use ideas or know-how developed in one country to help what they do broadly across the world. Those flows have been growing at roughly 6 percent per year as well.

There are data flows—the flows of packets of data. For example, if we were in different countries while conducting this interview there would be the flows between us. There are also flows linked to our ever-expanding use of cloud and data localization. Data transfer is happening more and more quickly.

The flows of international students have also been rising. That was mightily interrupted by the pandemic, for reasons I don’t need to belabor, but these flows seem to be rebounding. It’s important to consider the degree to which those will jump back on their accelerated growth trajectory.

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How covid-19 has affected global flows.

Lucia Rahilly: You mentioned flows of international students dropping off during COVID, for the obvious reasons. Did other flows generally drop off during the pandemic? Or were there examples of flows that were particularly resilient throughout that period?

Olivia White: There’s some variation, but many flows were remarkably resilient—resilient in a way that’s a bit counter to the general narrative about what happened during the pandemic.

The flows of resources and manufactured goods jumped reasonably significantly in 2020 and 2021, both to levels of about 6 percent per year on an annualized basis. To some degree, what was happening is that cross-border flows stepped in to replace interrupted domestic production. Flows from Asia came in, for example, to the US or to Europe. We’ve seen some flows go in reverse directions. There was a bunch of interruption in domestic production, which was quite surprising.

Flows of capital also jumped quite a lot as people needed to shift the way they were financing themselves. Multinationals needed to shift the way they were financing themselves. Some were moving liquidity to different parts of the world under times of financial stress. But those jumped to levels of growth in the tens of digits from what had actually been reversed growth for the past ten years. All those things jumped. IP jumped a little bit; data remained high. So these flows have been remarkably resilient.

The good and bad news about resource concentration

Lucia Rahilly: You invoked concentration a bit when you talked about Europe being dependent on Russia for 50 percent of its energy. Can you say a bit more about what concentration means in this context and how it affects the dynamics of the way we’re connected globally?

Olivia White: From the global perspective, there are some products that truly originate in only a few places in the world, and all of us across the globe are dependent on those few places for our supply. Iron ore is quite concentrated, and cobalt is concentrated in the DRC [Democratic Republic of the Congo].

The second type of concentration is viewed from the standpoint of an individual country. Lucia, you talked about Europe and gas dependency.

For example, Germany was getting gas from only a very concentrated set of sources. These are places where, for a variety of reasons, countries have built up dependencies on just a small number of other countries.

Why has this happened? Why are we in this position? Cost is one reason. People have made decisions based on economic factors. Another reason is regional preference. Not all goods are created equal, even if they fall in the same category.

The third reason is preferential trade agreements between different countries or other forms of tariffs or taxes that shape the way flows occur. We’re in a world in which suddenly people are realizing they have to contemplate the consequences associated with concentration—not of suppliers, but of the country of origin from which they’re buying things.

Lucia Rahilly: It sounds like concentration also increases efficiency in some cases where those disruptions don’t occur. Is concentration always a bad thing? If we rethink concentration, can we expect to see some loss of efficiency in the interim?

Olivia White: No, it’s not always a bad thing. But there are a lot of considerations to make that involve costs, involve geopolitical relationships, involve the role that various countries want to play themselves, how they’re thinking about development, how they’re thinking about their workforces. All those things have to be part of the mix.

Imagine three or four different countries, each with three trading partners, and they’re largely different trading partners. Swapping off who’s supplied by whom is a huge problem of coordination.

How global chains will evolve

Lucia Rahilly: Geopolitical risks  have obviously trained a policy spotlight on reimagining these global value chains, whether for security reasons or to strengthen resilience more generally. Accepting that the world remains interdependent, how do we see trade flows continuing to evolve in coming years?

Olivia White: Broadly speaking, there are four categories of potential evolution. Semiconductors are most prominent in public discussion. Electronics, more broadly, is one of the fastest-moving value chains since 1995, with 21 percentage points of share movement per decade. Pharmaceuticals and the mining of critical minerals are other examples. And they will be part of what shifts the way that flows crisscross the globe.

Second category: textiles and apparel. This category is not as sensitive in a geopolitical sense as some of the things I was talking about before. This category is one where you actually do have new hub creation right now. Consumer electronics, other forms of electric equipment that aren’t particularly sensitive, possibly fall in that category too.

Third category: IT services and financial intermediation or professional services. That will reconfigure the ways in which services flow.

Fourth and finally, there’s the stuff that’s just going to be steady—food and beverages, paper and printing. There’s no particular reason to expect that there are strong forcing mechanisms that will change the way those things are flowing across the world right now. They’re things that have remained relatively steady for the past ten or more years.

Global flows are necessary for a net-zero transition

Lucia Rahilly: Do we have a view on whether the evolving state of global flows is helping or hindering the net-zero transition ?

Olivia White: The way I’d put it is, there is no way we move quickly toward a net-zero transition without global flows. There are certainly things about global flows that are tricky from a net-zero perspective. It costs carbon to ship things and move things a long way. But in order for net zero to be attainable, we need to make sure that energy-generating technologies and fuels are able to flow across the world.

Energy-generating technologies include both the minerals that underpin construction of those technologies and the actual manufacturing. So, in the first category, think nickel and lithium. In the second category, think about the actual manufacturing of solar panels. The minerals themselves are processed in only a few countries around the world. So people are going to have to move them from one place to another. Maybe the world could have broader diversification of such things, but on average, the timeline from discovering a mineral to being able to produce it at scale is well in excess of 16 years. If we want to move fast, we have the luxury to move things across the world. Meeting cost curves for manufacturing at scale and in locations where you have at least some established presence is going to be important.

The final element that’s crucial with respect to net zero is cross-border capital flows. It’s really important that developing countries are able to finance shifts in the way that energy is produced and consumed in their countries, which means they may have to both spend more, at least as a ratio of GDP, and have less ability to spend, given other forms of development imperative.

Multinationals and global resilience

Lucia Rahilly: What’s the role of major multinational companies as we look ahead toward reimagining the future of our global connectedness?

Olivia White: The first thing that needs to be recognized is that major multinational corporations play an outsize role in global flows today. Multinationals are responsible for about 30 percent of trade. They’re responsible for 60 percent of exports and 82 percent of exports of knowledge-intensive goods. So they disproportionately drive flows, especially the ones associated with knowledge. And therefore, they’re going to be the center of managing for their own resilience, but also in a collective sense, for the resilience of the world.

The future of global flows

Lucia Rahilly: The media tends to focus on what some see as globalization’s imminent demise. Accepting that global ties continue to bind and connect us across the world, it’s also natural for folks to have pretty strong reactions to these intense and ongoing global disruptions that we’ve experienced in recent years. How would you sum up the way we think about the future of globalization at a high level?

Olivia White: The world we live in right now is highly dependent on flows. Will those flows reconfigure and shift? Yes, absolutely. They have in the past, and they will in the future.

Lucia Rahilly: Do we see anything in the research to indicate that the world is actually moving toward decoupling, which is also very much part of the media narrative?

Olivia White: If you look along regional lines, individual regions can’t be independent. If you just start to play with what sorts of decoupling of regions would be possible, you see very quickly that it’s not something you can do.

Now, is it possible that you would get groups of countries that become more strongly interconnected among themselves and less strongly connected with others? Absolutely. It’s possible to move in that direction. The question becomes, is there an actual decoupling, or do you just have a shift in degree? As with most things in the world, the answer tends toward the shift in degree rather than an abrupt or sharp true change or decoupling.

Lucia Rahilly: Does greater regionalization improve resilience?

Olivia White: To some degree you can say, “Look, if I’m self-sufficient, I’m more resilient.” On the other hand, all of a sudden you depend on yourself for everything, and that’s a point of vulnerability in the same way that getting it only from one other person would be a problem.

There are a whole host of reasons some degree of regionalization might help. You’ve got things closer to you. But dependency just on a few sets of people, whether or not they’re in your region, means you’ve got dependency on just a few points of potential weaknesses rather than a broad web, which in general is a more resilient and robust structure.

Lucia Rahilly: Thanks so much, Olivia. That was such an interesting discussion.

Olivia White: A real pleasure, Lucia. Thank you.

Roberta Fusaro: One example of resilience is AB InBev. Here to talk about how it’s prospering in the face of worldwide disruption is its CFO, Fernando Tennenbaum. This excerpt, “ How to thrive in a downturn: A CFO perspective ,” from our McKinsey Live series, was recorded in December 2022.

Lucia Rahilly: Fernando, we’re confronting an unusual constellation of disruptions: inflation, high interest rates driving up the cost of capital, geopolitical turbulence unexpectedly upending supply chains and sending energy prices spiking—it’s genuinely a volatile moment. Tell us, how is AB InBev faring in the current context?

Fernando Tennenbaum: We’re fortunate to be in a resilient category. Despite these twists and turns in different parts of the world, beer sales have been quite strong. That said, inflation has turned out to be much higher than expected. 2 Market conditions may have changed since this interview was conducted. We need to ensure our operations are in sync with the market, to meet this unique moment. We need to understand the state of the consumer and adjust our operations accordingly.

In emerging markets like Latin America and Africa, inflation is not new news. There are different levels of inflation, but inflation has been a part of these economies for a very long time. Consumers are more used to it, companies are more used to it—and it’s probably a more straightforward discussion.

Lucia Rahilly: You’ve spent much of your career in Latin America where, as you said, inflation has historically been much higher and more volatile than in the US or in Western Europe. Walk us through some of the lessons that we in the US, for example, could learn from.

Fernando Tennenbaum: Make sure that you’re always looking at your customers, and that you’re always keeping up with inflation. You should avoid lagging too much, and you should avoid overpricing compared with inflation. If you do too little or too much, you start disturbing the health of the consumer. If you get it right, it’s probably a good thing for the business. You have to make sure you navigate the rising cost environment while ensuring that the consumer is in a good place, your product is in a good place, and the category is a healthy one. It’s a balancing act.

You should avoid lagging too much, and you should avoid overpricing compared with inflation. If you do too little or too much, you start disturbing the health of the consumer. Fernando Tennenbaum

Lucia Rahilly: AB InBev has a diverse portfolio of brands. Volumes are good. Are customers trading up or down, during this period, between your premium and mass-market brands?

Fernando Tennenbaum: Premiumization continues to be a trend, and consumers continue to trade up to premium brands. Over the course of this year, people often asked whether consumers were trading down—and we see no evidence of trading down. That is true for the US, that is true for Africa, and that is true for Latin America—which is quite unique.

I don’t know if the future will be different; the world is changing so fast. But if you were to ask me ten years from now, I’d expect premium to be even bigger than it is today.

Lucia Rahilly: Let’s talk about uncertainty. The economy could play out in many different ways. How do you manage for that?

Fernando Tennenbaum: Let’s take our debt portfolio. Now is the moment that interest rates are going up. Inflation and borrowing are going up. Overall, this tends to be bad news—but for us, it’s quite the opposite because we don’t have any debt maturing in the next three years. We prepared for this when we saw the world going to a very different place at the beginning of 2020.

We ended up raising some long-term debt and repaying all our short-term debt. Now we’re left with a debt portfolio that has an average maturity of 16 years and no meaningful amount of debt maturing in the next three years—all at a fixed rate. Since we don’t need to refinance, we’re actually buying back our debt. Rising interest rates can be good when you can buy back debt cheaper than it cost to issue.

Lucia Rahilly: You became CFO at AB InBev in 2020, when pandemic uncertainty was at its peak. Talk to us about how you navigated that period.

Fernando Tennenbaum: The first thing we did in 2020 was pump up our cash position. Not that we needed it, but I felt it would give operations peace of mind. To be prepared, we started borrowing a lot of money. And we started taking care of our people. We needed to make sure our people were safe—that was priority number one.

Once we made sure our employees were safe, our operations were safe, then we looked at opportunities and started to fast-forward. I remember we looked at May, for example, and started to see a lot of markets doing well in terms of volume. We had a lot of cash. We started buying back some debt, especially near-term debt, to create even more optionality for the future.

We also accelerated our digital transformation. The moment was uniquely suited for it. Digital was a much better way to reach customers at a time when everybody was afraid to meet in person. In hindsight, the company ended up in a much better place today than it was three years ago—in terms of our portfolio, our digital transformation, and even financially—because we acted very quickly and created a lot of optionality during the first few months of the pandemic.

Lucia Rahilly: Any mistakes to avoid?

Fernando Tennenbaum: Looking back, I wouldn’t have done anything massively different. If I had known the outcome, I might have done things differently. But without knowing the outcome, I felt that the way we managed and the optionality we created set us up well.

Lucia Rahilly: Brewing is such an agriculturally dependent business, and agriculture has been significantly disrupted, both because of the war in Ukraine and because of climate-related risk. As CFO, how do you think about sustainability in terms of longer-term value creation?

Fernando Tennenbaum: Sustainability cuts across the whole of our business. We have a lot of local suppliers—20,000 local farmers. Our brewing processes are natural. The more efficient we are there, the more sustainable we are and, actually, the more profitable we are. We have local operations, and we sell to the local community. And most of our customers are very small entrepreneurs. The more we help them, the better they can run their business. And we say beer is inclusive because we have two billion consumers.

Lucia Rahilly: Is packaging also part of the sustainability approach?

Fernando Tennenbaum: Definitely. For example, we have returnable glass bottles. That’s very efficient, very sustainable, and from an economic standpoint, that’s probably the most profitable packaging we have. It’s also the most affordable for consumers. So it’s good for us, good for the environment, and good for the consumers.

Lucia Rahilly: You said beer is inclusive in part because so many of us drink it. How else do you approach inclusion at AB InBev?

Fernando Tennenbaum: Our two billion consumers are very different from one another. We need to make sure that, as a company, we reflect our consumers. Whenever we look at our colleagues, we need to make sure they reflect the societies where we operate—and we operate in very different societies.

A diverse and inclusive team is going to be a better team. That also applies to our suppliers. For example, if you think about suppliers in Africa, some are very poor. They manage to get access to technology, which means we can track whether they’re receiving the funds we pay them. We can track where agricultural commodities are being sourced. So how we financially empower them is also a very important part of our sustainability strategy.

Lucia Rahilly: Looking ahead, how are you thinking about innovation and investment in technology, in order to enable growth?

Fernando Tennenbaum: Innovation is a key component of beer, and there are two sides to that. One is innovation in products. The other is packaging. In Mexico, for example, we have different pack sizes for different consumption occasions and consumer needs.

Beyond that, there’s also technological innovation. Take our B2B platform, which we started piloting in 2019. Now, three or four years later, we have around $30 billion of GMV [gross merchandise value] in our e-commerce platform, which is accessible in more than 19 countries. That’s the optimal portfolio to improve customer engagement at their point of sale. Before we launched our B2B platform, we used to spend seven minutes per week interacting with our customers. Today, with our B2B platform, we interact with them 30 minutes per week. We increased the number of points of sales. For example, in Brazil, we used to have 700,000 customers, and now we have more than a million customers. Previously, they were buying our products from a distributor. Now we can reach them directly with the B2B system in place.

This connection with our customers means we can do a lot of other things, like our online marketplace, where third-party products generated an annualized GMV of $850 million, up from zero four years ago. That marketplace now continues to grow and to deliver a lot of value for our customers and for ourselves.

Lucia Rahilly: One more question: If you could give one piece of advice to a brand-new CFO of a large, multinational corporation, what would it be in this market?

Fernando Tennenbaum: Make sure you plan for different scenarios. The world is moving very fast, and you can’t expect it to unfold in a certain way. But if you have options, are agile in making decisions, and have a very engaged team, then regardless of the twists and turns, you are able to meet the moment. And you are definitely able to deliver on your objectives.

Lucia Rahilly: I lied. I’m going to ask you one more. How do you see, for these new CFOs, the relationship between sustainability and inclusivity and growth? Do you see those in tension?

Fernando Tennenbaum: There is this myth that you are either sustainable or profitable. At least at AB InBev, we’re sure they go hand in hand. The more sustainable you are, the more profitable you are, and the more value you create for your different stakeholders.

Fernando Tennenbaum is the CFO of Anheuser-Busch InBev. Olivia White is a director of the McKinsey Global Institute and a senior partner in McKinsey’s Bay Area office. Roberta Fusaro is an editorial director in the Waltham, Massachusetts, office, and Lucia Rahilly is global editorial director and deputy publisher of McKinsey Global Publishing and is based in the New York office.

Comments and opinions expressed by interviewees are their own and do not represent or reflect the opinions, policies, or positions of McKinsey & Company or have its endorsement.

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