food security in nigeria thesis

ORIGINAL RESEARCH article

Determinants of food security in nigeria: empirical evidence from beneficiaries and non-beneficiaries rice farmers of the kano river irrigation project.

• 1 Institute of Agricultural and Resource Economics, Faculty of Social Sciences, University of Agriculture, Faisalabad, Pakistan
• 2 Department of Agricultural Extension and Rural Development, Faculty of Agriculture, University of Ilorin, Ilorin, Nigeria
• 3 Institute of Agricultural Extension, Education and Rural Development, University of Agriculture, Faisalabad, Pakistan
• 4 Department of Agribusiness and Applied Economics, University of Agriculture, Multan, Pakistan

Introduction: While the prevalence of hunger decreased globally, it has risen in sub-Saharan Africa in recent years mainly due to rapid population growth, low agricultural productivity, and economic downturns. This study was conducted to examine food security determinants at the household levels among the beneficiaries and non-beneficiaries rice farmers of the Kano river irrigation project in Nigeria.

Methods: Cross-sectional data were used for the analysis while multi-stage sampling technique was used to obtain data from 382 respondents, out of which 217 were project beneficiaries and 165 non-beneficiaries; using a semi-structured questionnaire. Data were analyzed using Household food security index and Logit regression model.

Results and discussion: The results showed that 72.6% of the beneficiaries' households were food secure, against the non-beneficiaries, who had 65.4% food secure households. The findings also revealed that the beneficiaries have 11 and 4% food insecurity depth and severity respectively. Non-beneficiaries, on the other hand, had 17 and 8% food insecurity depth and severity, respectively. Extension contact, farm size, rice output, and educational attainment were the positive determinants of food security. Similarly, determinants that could increase food insecurity identified were; credit constraints and household size. It is recommended that the design of a food security strategy should be multi-dimensional and should encompass social, institutional and economic transformation of small scale farmers. Addressing the identified determinants is also crucial for enhancing the food security status in the study area.

1. Introduction

There are four global threats that have significant implications for food security viz; population explosions, global warming, loss of biodiversity and globalization of injustice ( Matuschke, 2009 ). The continent of Africa is not yet on the path to eliminate hunger by 2030 while the prevalence of malnutrition in Africa has risen from 17.6% in 2014 to 19.1% in 2019 ( FAO, 2019 ). Over the years, the question of appropriate food security has remained a critical subject for consideration by many government administrations in Nigeria ( Ejikeme, 2017 ; Osabohien et al., 2020a , b ). Small-scale farmers in Nigeria constituted 90% of Nigeria's agricultural output ( Ayinde et al., 2020 ) while the majority of such farmers are not able to feed themselves and other relatives. The low productivity is mainly as a result of fragmented land holding, over reliance on rain-fed agriculture, climate change, low access to input and poor economic base. Some interventions were developed in Nigeria since independence in 1960 to increase crop productivity, generate employment, and ensure food security. Notable among the interventions were: The Green Revolution, Lower Niger River Basin Development Authority (LNRBDA), Operation Feed the Nation (OFN), and regulatory bodies such as the Directorate of Foods, Roads, and Rural Infrastructure (DFRRI) and National Agricultural and Land Development Authority (NALDA). However, many of these programs failed due to weak institutional foundation, corruption, and poor implementation ( Aderinoye-Abdulwahab, 2020 ).

The alarming rise of food insecurity in Nigeria necessitates prompt action. As much as 21.4% of Nigerian families were experiencing acute food scarcity in 2020 ( Osabohien et al., 2020a ). Similarly, Erokhin and Gao (2020) reported that 50% of the Nigerian population are living below poverty line of 1.9 USD. The Global Food Security Index (GFSI) rating shows that Nigeria ranked 94th out of 113 nations in 2019 with a 48.4/100 score, which puts the country below Ethiopia, Niger, and Cameroon ( Ayinde et al., 2020 ). In addition, Nigeria has overtaken India as the world's most impoverished country ( Ayinde et al., 2020 ). Otekunrin et al. (2019) and Amzat and Aminu (2020 ) reported that food insecurity in the country is aggravated by rapid population growth; they predicted that Nigeria's population would grow to 400 million people by 2050. The country therefore needs to check her population growth if food security is to be improved.

The Kano River Irrigation Project (KRIP) is one of the pioneer projects established by the Federal government of Nigeria in 1970 ( Ahmad, 2018 ). The project aimed at increasing food production and productivity, improve the beneficiaries' income, provide employment opportunities and reduce food insecurity ( Yusuf et al., 2020 ). The study purposively used rice farmers for the study because rice is cultivated in more than 70% of the cropped area ( Wudil et al., 2021 ). The crop is also one of the most consumed staples in Nigeria ( Uduma et al., 2016 ; Fawole and Aderinoye-Abdulwahab, 2021 ) while available statistics showed that Nigerians consume more than seven million metric tons of rice in 2020 ( Ihedioha et al., 2021 ). In recent decades however, insufficient local rice production to meet the local consumption has emerged as a significant food security issue ( Seck et al., 2012 ; Matemilola, 2017 ). Historically over dependence on rain-fed agriculture coupled with low investments in irrigated rice production, makes the country to rely heavily on rice imports to meet growing demand ( Uduma et al., 2016 ). Previous studies have looked at food security from various angles, including government engagement, climate change, and the demand for food and associated resources for human consumption ( Ayinde et al., 2020 ). This study is thus the first attempt at investigating the project beneficiaries' food security situation in order to ascertain the extent to which Kano River Irrigation Project (KRIP) has achieved its set objectives for ensuring food security when compared with non-beneficiaries. The study therefore attempted to answer the following research questions:

1. What is the food security status of both beneficiaries and non-beneficiaries rice farmers of the Kano River Irrigation Project in the study area?

2. What are the determinants of food security situation of beneficiaries and non- beneficiaries rice farmers in the study area?

3. What is the average Kcal of major food items consumed per beneficiaries and non-beneficiaries rice farmers' households in the study area?

2. Literature review

Subsistent farmers who live in rural environments are rather poor and are not able to meet their basic daily needs for sufficient food in developing countries ( Akukwe, 2020 ). Consequently, Nigeria has been listed among the 55 Low Income Food Deficit (LIFD) countries due to the high prevalence of undernourished people living within agricultural households ( Ambali et al., 2015 ). Food security indices have been measured globally using various indicators such as: per capita expenditure on food, food insecurity access scale, food consumption score, per capita food consumption, share of dietary intake and coping strategy index ( Ogundari, 2017 ). Notwithstanding the extensive studies on food security indicators, there is still not a consensus on the core parameters that are needed to adequately measure household food security situations at both the micro and macro levels around the world ( Akukwe, 2020 ).

Food security and insecurity are two opposing terms used to describe how much access or lack of access to sufficient and nutritious food are available to a population. Food security involves food access, availability, use and sustainability ( FAO, 2017 ); hence, people can be said to be food secured when they are able to get adequate, safe and nutritious diets all year round. Although, majority of the food in-secured are domiciled in developing countries, food security has become an issue of top priority for both developing and developed countries ( Mohammed et al., 2021 ). This is because household food insecurity is responsible for a huge proportion of malnutrition and deaths in developing worlds ( Drammeh et al., 2019 ); hence the emphasis on food security in the sustainable development goals (SDGs). Moreover, evidence has shown that food insecurity is closely related to socio-economic characteristics such as: poverty, low income, employment status, age, household size, level of education among others ( Drammeh et al., 2019 ; Mohammed et al., 2021 ; Fikire and Zegeye, 2022 ). In addition, it has been established that an increased level of education can translate into higher level of food security ( Mohammed et al., 2021 ).

The poorest countries of the world are found in Africa while they face chronic poverty and food insecurity ( Farzana et al., 2017 ). In the same vein, these countries are heavily dependent on rain-fed agriculture and this predisposes the region to environmental hazards such as droughts, desertification, erosion and many others. Consequently, countries have had to develop a range of coping mechanisms to either cushion the effect or strengthen their resilience to household food insecurity. Literature has identified diverse coping strategies applied at the household level amongst population affected by natural calamity such as droughts and erosion ( Farzana et al., 2017 ; Drammeh et al., 2019 ; Mohammed et al., 2021 ). Of particular reference is the construction of several dam projects to alleviate issues of droughts and erosion in typical rain-fed agriculture areas of sub-Saharan Africa. Understanding the coping measures that have been put in place at household level in each location is a critical strategy to formulating and implementing appropriate policies that would strengthen food security in those areas.

More farming households would experience severe food insecurity due to the negative impact of the COVID-19 pandemic as enormous challenges are still faced by people with less wealth, lower and more unstable incomes and poorer access to critical basic services ( FAO, 2021 ). The African continent has witnessed the most severe food insecurity while regions such as the Latin America and the Caribbean have not been excluded from the impacts; albeit at a slower pace. The prevalence of food insecurity slightly reduced in Asia between 2020 and 2021. Nonetheless, the pandemic has further amplified the uncertainty characterizing the estimates of the number of people who are affected by food insecurity ( Aderinoye-Abdulwahab and Abdulbaki, 2021 ).

The determinants of food insecurity can be broadly categorized into social, economic, environmental, political and physical factors. Countries have become more food insecure as a result of factors such as: droughts, land degradation, population explosion, lack of productive resources, insufficient assets, poverty and deprivation ( Fikire and Zegeye, 2022 ). Food insecurity has been and remained a public health threat that needs to be addressed in order to reduce environmental hazards and problems of malnutrition, dietary diversity needs and psychological dysfunction ( Drammeh et al., 2019 ). Studies on determinants of food security have been conducted across the world and they range from socio-economic, institutional, environmental, and safety-related perspectives. In focusing on a more precise approach, this study concentrates more on the socio-economic determinants at the household level and economic indicators at the macro level to uncover the determinants of food security among the beneficiaries of KRIP. Whilst Cheema and Abbas (2016) identified that off-farm income significantly impacts household food security positively, Karki et al. (2021) reported that assets possession is an important determinant of food security. In a similar vein, Firdaus et al. (2020) showed a positive association between household food security and socio-economic indices such as: family size, land size and land quality while Fikire and Zegeye (2022) also noted that age is a significant socio-economic consideration in food security index. This is because the older a farmer becomes, the more experience they must have acquired in farm operations and planning; and this will make it easier for them to attain food security. Gundersen and Garasky (2012) had previously asserted that a positive correlation exists between age of household head and food security while food security also increases with increasing income.

Obayelu (2012) in his study on food security situation in northern Nigeria found that only 16% of the households were food secure (FS), 36% food insecure without hunger, 28% FS with moderate hunger and 21% food insecure with severe hunger. His result further revealed that geographical location, food dietary diversity, level of education, occupation of household head, household dependency ratio, social capital and agricultural land-holding size significantly affect households' food security status. Ajayi and Olutumise (2018) found that 43% of their respondents in Ondo State, Nigeria were food secured. The shortfall and surplus indices were found to be 0.13 and 0.20 respectively. Their findings further revealed that experience, education, access to credit, access to extension agent, distance to farm and farm size were the factors that influenced food security in the study area. Akukwe (2020) analyzed food security in agrarian community of south eastern Nigeria where it was shown that majority (53.5%) of the households were food insecure while 46.5% were food secured. The regression coefficients revealed that households headed by unmarried persons with higher level of education and monthly income as well as with fewer dependents were more food secure; while food security decreased with increasing distance to market in southeastern Nigeria. Abdelhedi and Zouari (2020) argued that family farming play a crucial role in the fight against food insecurity in developing countries. They observed that this type of agriculture helps to meet the subsistence needs and generate income for the poor and, on the other hand, contributes to a healthy and balanced diet. Abdelhedi and Zouari (2020) further showed that agricultural value addition positively and significantly impact on food security. Martin-Shields and Stojetz (2019) in their review on the nexus between food security and conflict opined that conflict is the most significant driver of food insecurity in many parts of Africa. Several studies outlined negative correlation between increase in temperature and reduction in rainfall on food security in Africa ( Durodola, 2019 ; Leisner, 2020 ; Dino Abdula, 2021 ; Kogo et al., 2021 ). Climate adaptation strategies such as sustainable watershed management activities, crop diversification, planting of early maturing variety and irrigated agriculture were recommended to assuage the negative impact of weather events on food security ( Dino Abdula, 2021 ).

Household food insecurity has been linked, with a considerable negative correlation, to education level of the households' head, lack of physical assets and absence of female-headed families in Kolkata, India ( Maitra and Rao, 2014 ). Oke (2015) in his study found a negative correlation between food security and population growth in Nigeria. It was also found that increase in productivity; either in terms of a rise in production or expansion of cultivated lands, will positively influence food security at the macro-level ( Pieters et al., 2013 ). Moreover, foreign direct investment in agriculture sector equally has positive impact on food security ( Slimane et al., 2016 ) while it was also observed that the unemployed are 8% and more likely to be food insecure when compared to employed persons.

This section highlights the study area, methods of data collection and the analytical techniques used for data analysis.

3.1. Study area

Kano State is located between latitude 12° 00' 0.43“ North of the equator and longitude 8° 31' 0.19” East of Greenwich ( Figure 1 ). The state has about nine million people with 4,957,952 men and 4,453,336 women ( National Population Commission (NPC), 2006 ). Annual growth rate is estimated at 2.27% ( Raimi et al., 2020 ) and this puts the population of the state in 2020 at 13,895,103 people. The project area is situated in a vast area of over 25 km south of Kano city and is one of the functional irrigation schemes in the country. It is designed to provide irrigation facilities to about 22,000 hectares of land utilizing water release from the Tiga dam through the Ruwan Kanya reservoir ( Wudil et al., 2021 ). The scheme operates in three local government areas: Kura, Garum Mallam, and Bunkure. Data for this study were collected from all the three local governments' areas (LGAs). Due to the lack of baseline data and the limitation of “before and after” approach of not incorporating the counterfactual effect, the study used the “with and without” approach to capture the counterfactual effect.

Figure 1 . Map of the study area. Source: Authors' computation, 2020.

3.2. Sampling procedure and sample size

The study's respondents included both irrigation project beneficiaries and non-beneficiaries who lived in the same catchment in the study area. Private irrigation schemes that are owned by individuals who can afford were used as non-beneficiaries. With this category of irrigation scheme, farmers use tube-wells and they allow other farmers to use it at a cost. Multi-stage Sampling Procedure (MSP) was employed in assembling data. In the first stage, all three LGAs where the beneficiaries are located were purposively selected due to the presence of irrigated agriculture and high rice production. The second stage of the sampling technique took place at the village level. A visit to the villages in the three project areas- Kura, Bunkure, and Garum Mallam LGAs, was made in order to get a comprehensive picture of the prevailing situation regarding irrigation in the study area. Twenty-four villages were purposively selected for the study, 12 from the irrigation command area and 12 from the non-command site. The 24 villages were purposively selected because of high populations of rice farmers and massive production of rice too. The areas were selected also to ensure an even representation of all towns in the location. The third stage was a proportionate random sampling of rice farmers' beneficiaries (217) and non-beneficiaries (165). Thus, 382 beneficiaries and non-beneficiaries were interviewed as the study's sample size ( Table 1 ). However, out of the 382 interview schedule conducted, only 208 from beneficiaries and 152 from non-beneficiaries were meaningful and were therefore processed for analysis.

Table 1 . Sample procedure and sample size.

3.3. Model specification

3.3.1. household food security index.

The study used the Food Security Index (FSI) and simple statistical techniques. The instrument has been used in Nigeria ( Ahungwa et al., 2013 ); in Ghana ( Kuwornu et al., 2013 ) and in Pakistan ( Bashir et al., 2012 ). It was demonstrated that data on the caloric content of commonly consumed foods were collected using parameters that convert edible portions into calories. The food security indices were constructed and the caloric acceptability was calculated by dividing the calorie supply for the household by the family size adjusted for adult equivalent ( Runge-Metzger, 1993 ). The SPSS Statistical software; version 21 was used to calculate the frequency, mean, standard deviation and other food security metrics ( Ahungwa et al., 2013 ).

Where Z i denotes the status of i th household food security (Z ≥1 food secure and Z < 1 food insecure).

A household is considered a collection of persons living together and consuming from the same pot. The study used the FAO recommended daily caloric intake of 2,700 kcal for an adult aged man (30–60 years) as a benchmark for developing nations ( Kidane et al., 2005 ) and as a criterion for food security status. Using the shortfall/surplus index, P, numerous food security indices were computed based on Z:

Where P i denotes the shortfall or surplus index for the i th household,

G K =   X k i − I I = shortage or excess encountered by i th household,

X ki = Mean everyday caloric accessible to the i th household.

M = the magnitude of households that are food secure (excess index) or food insecure (deficit index).

I = the food security line (2,700 kcal/capita/day).

Where M = the number of food secure or insecure members of the sampled population

N = total population under study.

With this approach, the individuals or households were aggregated into food secure and food insecure populations. Thus, food poverty was regarded as a condition where an individual's or household's consumption falls below an ex-ante identified food security line, in this case (2,700 kcal/capita/day).

3.3.2. Logit regression model for determinants of food security

The binary logistic regression methodology has been employed in several agricultural, economic and extension studies that call for the research and prediction of a dichotomous outcome such as fertilizer use or non-use, adoption and non-adoption, participant and non-participant. The logistic probability model ( Bogale and Shimelis, 2009 ) is expressed implicitly as thus;

P i = probability that a household is food secure in the face of exogenous variables ( X i ) and P i ranges between 0 and 1

e = natural logarithm base

X i = a vector of predictor variables

α and β i = the regression factors to be predicted, and

ε i = Random error term

The model is transcribed in expressions of odds and log of odds for simplicity of presentation of the coefficients. As a result, the odds ratio is the ratio of the likelihood of a home being food secure (Pi) to the likelihood of a household not being food secure (1-Pi).

By introduction of a dichotomous response variable , Y i , Y i =   { 1   i f   Y ∗ > 0 0   o t h e r w i s e

Where 1 = food secure

0 = food insecure

i = number of respondents

Solving for the probability that Y = 1 ,

Equation (5) can be modified as:

This section presents the findings of the research objectives under the listed sub-headings.

4.1. Household food security of beneficiaries and non-beneficiaries

The summarized data and food security indices amongst the sampled beneficiaries are presented in Table 2 . The results showed that 72.6% of the household beneficiaries were food secure, while 27.4% were food insecure based on the necessary daily calorie intake of 2,700 kcal. The data also revealed that beneficiaries' average per capita calorie intake was 2,274.93 and this is lower than the recommended average of 2,700 Kcal. Food secure households consumed 3,607.63 Kcal on average, which was greater than the recommended mean. Beneficiaries' food insecure households consumed 1,625.81 calories per day which translates to 60% of the recommended national average. The food insecurity gap/surplus Index (P), which evaluates the degree to which families deviate from the food security line, revealed that the secure food home surpassed the necessary average Kcal by 34%. In comparison, the food insecure household fell short by roughly 40%. However, the average household size (adult equivalent) for the project was 10 people while it was about 6–7 persons for the food secured households among them and around 13–14 for those who were food in-secured ( Table 2 ). This further showed that the households that were food in-secure had more dependents to their detriment.

Table 2 . Summary of the food security indices for project beneficiaries and non-beneficiaries.

On the food insecurity depth and severity, the project beneficiaries had indexes of 0.11 and 0.04, respectively, meaning that there was 11 and 4% chances of food insecurity occurrence and severity among the beneficiaries ( Table 2 ). The food security indices among the sampled non-beneficiaries showed that 65.36% were food secure while 34.64% were food insecure. The data also revealed that the non-beneficiaries' average per capita calorie intake was 2,697.44 Kcal which is slightly lower than the recommended national average of 2,700 Kcal. The average calorie consumption of food secure households was 3,982.69 Kcal; a value that is greater than the national recommendation. Food insecure households consumed 1,323.72 Kcal, which was only 49% of the recommended national average. The food insecurity gap/surplus Index (P), which evaluates the degree to which families drifted from the food security line revealed that non-beneficiary households were short of food security by a margin of 51%. However, the average number of dependents for the food secured among the non-beneficiaries of the project was 7.96 while that of the food-insecure households was 13.98; bringing the overall average of total dependents of sampled households to 10 dependents.

On the food insecurity depth and severity, the non-beneficiaries had indexes that included 0.17 and 0.08; translating into 17 and 8% chances of food insecurity occurrence and severity respectively. Figure 2 presents a graph of the food insecurity index of the beneficiaries and non-beneficiaries. The chart depicted that all the indexes of the beneficiaries were lower than those of the non-beneficiaries.

Figure 2 . Average Kcal of major food item consumed per household per day between beneficiaries and non-beneficiaries. Source, Authors' computation, 2020.

4.2. Determinants of household food security status of beneficiaries and non-beneficiaries

The study investigated the factors that influence food security in the study area. The dummy variable (food security status) of rice farmers in the project and non-project areas was taken as the dependent variable. The independent variables used were age, agricultural experience, access to credit, educational status, household size, farming output, extension contact, and annual income. The factors of food security status of KRIP beneficiaries are detailed in Table 3 .

Table 3 . Determinants of food security status of project beneficiaries and non-beneficiaries.

The estimated logistic regression model indicated that the statistical parameters that express the goodness of fit of the model for the study were highly significant at 1% probability level. The chi-square (X 2 ) 115.223 and 108.36 for beneficiaries and non-beneficiaries, respectively, indicated support for the model and implied that the model, including the intercept and the explanatory variables, were within the acceptance region. The Cox and Neglekerke estimate ( Table 3 ) of beneficiaries showed that the model's differences between 42 and 61% variance were attributed to the independent variables' contribution in the analysis. For the non-beneficiaries, the estimated Cox and Neglekerke suggested that between 52 and 69% variance observed in the model attributed to the independent variable included in the model. The 2log-likelihood of 129.706 and 98.5 for the beneficiaries and non-beneficiaries, respectively, further confirmed the validity and reliability of the estimated Cox and Neglekerke indicated that model in explaining the statistical influence of the selected variables.

The variables that were positively related to beneficiaries' household food security status were; extension contact (1.1407), farm size (1.263), farming output (1.145) and educational attainment (1.099) ( Table 3 ). The Exp. (β) in parentheses indicated that 1% increase in each of the variables increases the probability of the household to be food secure by the respective Exp (β) coefficient. The age of the head of the household, household size, and credit constraints had negative coefficients which imply that an increase in any of these will result in a decrease in the level of food security. Furthermore, household size also had a negative significant coefficient of 0.452 and Exp (β) of 0.637.

For the non-beneficiary households, farming experience, farm size and educational attainment were positively and significantly related to food security status. Farm size has Exp (β) of 1.712 while the coefficient of educational status of the respondents was positive and significant at 5% level of probability with Exp (β) of 1.13. Credit constraint (−1.093) and household size (−0.452) were negatively significant at 1%.

4.3. Average Kcal of major food items consumed per household per day

The food security index was calculated based on detailed food items consumed by the households within the week. Food items identified for the estimation were cereals (rice, maize, sorghum, millet, and wheat), root and tubers (cassava, yam, and potato), legumes (cowpea, soybeans), poultry, meat, sugar, cooking oil and vegetables. Figure 2 provided information on the major food items consumed by the beneficiaries and non-beneficiaries with the mean Kcal consumed per day.

Figure 2 shows different food groups for households, along with their average Kcal consumption score in the study area. Evidence, as depicted in Figure 2 , showed that rice is consumed the most given the amount of kcal consumption per household per day among the beneficiaries. This is followed by sorghum, wheat, and maize respectively; unlike millet which has the lowest amount of kcal consumption and is the least consumed. Among root and tubers, cassava was the highest consumed while the non-beneficiaries consumed sorghum more than other food items as results showed that it had the highest calorie consumption with a mean of 2,654.61 kcal per household. This is followed by maize, cassava, sugar, and rice in terms of consumption pattern of the non-beneficiaries.

5. Discussion

5.1. household food security of beneficiaries and non-beneficiaries.

The finding which indicated a positive relationship between food security and household size is consistent with many empirical studies that affirmed a positive correlation between food insecurity and household size ( Jabo et al., 2017 ). On food insecurity depth and severity, results showed that both beneficiaries and non-beneficiaries were food secured although the project beneficiaries fared relatively better. These results are consistent with other studies where it was reported that 44, 37, and 34% of the households in Lagos, the North Central region and Borno States of Nigeria were food secured ( Ahmed and Naphtali, 2014 ). Similar to these findings, Omotesho et al. (2016) reported that about 67% of households were food secure in Kwara State, Nigeria. Mannaf and Uddin (2012) in their research conducted in the Bogra District, Bangladesh reported that 66.67% of the respondents were equally food secured.

5.2. Determinants of household food security status of beneficiaries and non-beneficiaries

Extension contact, farm size, farming output and educational attainment showed positive inclination to household food security. These findings are consistent with that of Ahmed et al. (2017) who reported that outputs and educational attainments were important productivity variables that played essential role in improving household food security. Ogundari (2017) also reported that farm size plays a vital role in agricultural production, poverty alleviation and food security. The age of the head of the household, household size, and credit constraints had negative coefficients. For example, as credit constraints increases, food security will also decrease. The result further indicated that age has a negative correlation with food security. The negative co-efficient was in line with the a-priori expectation that as the number of dependents in the household increase, food requirements will also increase, and more pressure will be on the already scarce resources. A large household with many dependents has more people to cater for and would be more likely to be food insecure. It has been similarly reported that farmers who struggled to access credits equally found it harder to pay back; these set of farmers were necessarily more prone to being food insecure ( Amanullah et al., 2019 ).

For the non-beneficiary households, farming experience, farm size and educational attainment were positively and significantly related to food security status. This indicates that a 1% increase in the farm size could increase the probability of the household being food secured. This implies that an increase in the level of education can increase the food security status of the farming households. This result was in line with a priori expectation that education has a positive correlation with food security, and this corresponds with the finding of Mohammed et al. (2021) who opined that education was an insulator against food insecurity. Years of farming experience was also positive and statistically significant, indicating that the probability of food security for farming households increases with farming experience.

Credit constraint and household size were negatively significant. This means that food insecurity increases with an increase in any of these variables given their corresponding coefficients; as similarly reported that Pakistan's food insecurity is exacerbated by low production due to credit constraints, lack of financial resources and low incomes ( Khan, 2021 ). The finding was also consistent with the assumption that large sized households will be more prone to food insecurity than small sized ones.

5.3. Average Kcal of major food items consumed per household per day

That rice is the most consumed is not surprising as people in developing countries favor consumption of cereals such as wheat and rice over more coarse cereals like millet. It therefore means that there is an urgent need to increase production of the preferred cereals in order to meet domestic demands. The protein-rich crops like beans and soybeans has higher kcal consumption than meat, fish, eggs, and poultry; probably because they were relatively cheaper since farmers typically produce them on their farms. Among root and tubers, cassava was the highest consumed and this could be attributed to its simplicity in preparation as it can be boiled and consumed with grinded groundnut cake. This finding is consistent with that of Lawson (2015) who reported that families in Nigeria greatly depend primarily on products from grains and root/tuber crops. The author further claimed that grain provides calories (46%) and proteins (52%) when consumed while root crops/tubers only offer 20% of calories and around 8% of proteins. On the other hand, non-beneficiaries consumed sorghum more than other food items; but this is closely followed by maize, cassava, sugar, and rice in terms of consumption pattern. The high consumption of sugar and cooking oil by both the beneficiaries and non-beneficiaries may probably be due to culture of the people of northern Nigeria or increased incomes or both.

6. Conclusion and recommendations

This study assessed the food security situation of rice farmers in the KRIP with the aim of exploring the determinants of food security among beneficiaries and non-beneficiaries in the project area. Findings showed that 73% of beneficiaries were food secure when compared to 65% of non-beneficiaries. The beneficiaries' food insecurity headcounts, depth, and severity were 0.27, 0.11, and 0.04, respectively, meaning that 27% of the beneficiaries fall below the 2,700 Kcal per person per day food security adult criterion. The chances of food insecurity incidence and severity were 11 and 4%, respectively. For non-beneficiaries, the food insecurity headcount, depth, and severity index were 0.35, 0.17, and 0.8, respectively. The determinants of household food security at the household level were; extension contact, farm size, rice output, educational attainment, credit constraints and household size. Similarly, at the country level, the result showed that unemployment and population increase had an increasing effect on the prevalence of hunger as well as a decreasing effect on the GDP.

The government should emphasize on creation of awareness and motivation for rice farmers to increase their production so that food security can be further enhanced. This is critical to reduction of poverty and food insecurity. Social networking and collaboration among smallholder farmers is also essential so that they can team up to produce a formidable voice to make demands from authorities. Similarly, to eradicate hunger and food insecurity in Nigeria, government and other stakeholders should emphasize on education and training and provision of enabling environment for investors. All of these will reduce unemployment rate and enhance productivity. Findings from this study might serve as a benchmark for future comparisons with other similar projects targeted at attaining food security.

Data availability statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found in the article/supplementary material.

Ethics statement

The studies involving human participants were reviewed and approved by Faculty of Agriculture Ethics Review Committee, University of Ilorin, Nigeria. The patients/participants provided their written informed consent to participate in this study.

Author contributions

AW and SA-A were responsible for the Introduction and Literature Review sections while AA, HM, and HR handled the methodology and results segments. In addition to producing the manuscript, AS and SA-A proof read the article while SA-A prepared it for submission. All authors collectively worked to produce this manuscript and contributed to the discussion of the findings. All authors contributed to the article and approved the submitted version.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Abdelhedi, I. T., and Zouari, S. Z. (2020). Agriculture and food security in North Africa: a theoretical and empirical approach. J. Knowl. Econ. 11, 193–210. doi: 10.1007/s13132-018-0528-y

CrossRef Full Text | Google Scholar

Aderinoye-Abdulwahab, S. A., and Abdulbaki, T. A. (2021). “Climate change adaptation strategies among cereal farmers in Kwara State Nigeria ,” in African Handbook of Climate Change Adaptation , eds L. W. Filho, N. Oguge, D. Ayal, L. Adeleke, and I. da Silva (Cham: Springer). doi: 10.1007/978-3-030-42091-8_228-1

Aderinoye-Abdulwahab, S. A. (2020). “ Agricultural policies and economic recovery and growth plan (ERGP 2017-2020),” in Strategic Lenses: Economic Diversification and National Development in Nigeria , eds Kadiri, M. M., Attu, E. A., Alarape, A. L., and Udeh, C. S. (Abuja: National Defence College, Abuja, Nigeria).

Google Scholar

Ahmad, M. T., Haie, N., Yen, H., and Tuqan, N. A. S. (2018). Efficiency of a water use system: the case of Kano River irrigation project, Nigeria. Int. J. Civil Eng. 16, 929–939. doi: 10.1007/s40999-017-0235-2

Ahmed, F. F., and Naphtali, J. (2014). Socio-economic characteristics and food diversity amongst high-income households: a case study of Maiduguri metropolis, Borno State, Nigeria. Am. J. Soc. Manag. Sci. 5, 19–26. doi: 10.5251/ajsms.2014.5.1.19.26

Ahmed, U. I., Ying, L, Bashir, M. K, Abid, M, and Zulfiqar, F. (2017). Status and determinants of small farming households' food security and role of market access in enhancing food security in rural Pakistan. PLoS ONE. 12, e0185466. doi: 10.1371/journal.pone.0185466

PubMed Abstract | CrossRef Full Text | Google Scholar

Ahungwa, G., Umeh, J., and Muktar, B. (2013). Empirical analysis of food security status of farming households in Benue state, Nigeria. OSR J. Agric. Vet. Sci. 6, 57–62. doi: 10.9790/2380-0615762

Ajayi, C. O., and Olutumise, A. I. (2018). Determinants of food security and technical efficiency of cassava farmers in Ondo State, Nigeria. Int. Food Agribus. Manag. Rev. 21, 915–928. doi: 10.22434/IFAMR2016.0151

Akukwe, T. I. (2020). Household food security and its determinants in agrarian communities of southeastern Nigeria. Agro-Science 19, 54–60. doi: 10.4314/as.v19i1.9

Amanullah, W. J., Khan, I., Channa, S. A., and Magsi, H. (2019). Farm level impacts of credit constraints on agricultural investment and income. Pak. J. Agric. Sci. 56, 511–521. doi: 10.21162/PAKJAS/19.7872

Ambali, O.I., Adewuyi, S.A., Babayanju, S.O., and Ibrahim, S.B. (2015). Expansion of rice for job initiative programme: implications for household food security in Lagos State Nigeria. Adv. Econ. Bus. 3, 99–106. doi: 10.13189/aeb.2015.030303

Amzat, J., Aminu, K, Kolo, V. I., Akinyele, A. A, Ogundairo, J. A, and Danjibo, M. C. (2020). Coronavirus outbreak in Nigeria: Burden and socio-medical response during the first 100 days. Int. J. Infect. Dis. 98, 218–224. doi: 10.1016/j.ijid.2020.06.067

Ayinde, I. A., Otekunrin, O. A., and Akinbode, S. O. (2020). Food security in Nigeria: impetus for growth and development. J. Agric. Econ. 6, 808–820. doi: 10.6084/M9.FIGSHARE.12949352

Bashir, M. K., Schilizzi, S., and Pandit, R. (2012). The Determinants of Rural Household Food Security: The Case of Landless Households of the Punjab, Pakistan, Working Paper 1208 . School of Agricultural and Resource Economics, University of Western Australia, Crawley, Australia.

Bogale, A., and Shimelis, A. (2009). Household level determinants of food insecurity in rural areas of Dire Dawa, Eastern Ethiopia. Afr. J. Food Agric. Nutr. Dev. 9, 1914–1926. doi: 10.18697/ajfand.30.3740

Cheema, A. R., and Abbas, Z. (2016). Determinants of food insecurity in Pakistan: evidence from PSLM 2010-11. Pak. J. Appl. Econ. 26, 183–213. Available online at: https://www.cabdirect.org/cabdirect/abstract/20173092106

Dino Abdula, M. (2021). Impact of climate variability on household food security in chiro District, West Hararghe Zone, Oromia Region, Ethiopia (Doctoral dissertation). Haramaya University, Dire Dawa, Ethiopia.

Drammeh, W., Hamid, N. A., and Rohana, A. J. (2019). Determinants of household food insecurity and its association with child malnutrition in Sub-Saharan Africa: a review of the literature. Curr. Res. Nutr. Food Sci . 7, 610–623. doi: 10.12944/CRNFSJ.7.3.02

Durodola, O. S. (2019). The impact of climate change induced extreme events on agriculture and food security: a review on Nigeria. Agric. Sci. 10, 487–498. doi: 10.4236/as.2019.104038

Ejikeme, J. O., Ojiako, J. C., Onwuzuligbo, C., and Uand Ezeh, F. C. (2017). Enhancing food security in Anambra state, Nigeria using remote sensing data. Environ. Rev. 6, 27–44. Available online at: http://erjournal.net/index.php/erjournal/article/viewFile/33/pdf4

Erokhin, V., and Gao, T. (2020). Impacts of COVID-19 on trade and economic aspects of food security: Evidence from 45 developing countries. Int. J. Environ. Res. Public Health 17, 57–75. doi: 10.3390/ijerph17165775

FAO (2017). Migration, Agriculture and Climate Change. Reducing vulnerabilities and enhancing resilience. Food and Agricultural Organization of the United Nations, Rome, Italy .

FAO (2019). The State of Food and Agriculture 2019. Moving Forward on Food Loss and Waste Reduction. Rome . Available online at: www.fao.org/3/ca6030en/ca6030en.pdf

FAO IFAD, UNICEF, WFP and WHO. (2021). The State of Food Security and Nutrition in the World (2021) . Transforming food systems for food security, improved nutrition and affordable healthy diets for all. Rome, FAO. doi: 10.4060/CC0639EN

Farzana, F. D., Rahman, A. S., Sultana, S., Raihan, M. J., Haque, M. A., Waid, J. L., et al. (2017). Coping strategies related to food insecurity at the household level in Bangladesh. PLoS ONE 12, e0171411. doi: 10.1371/journal.pone.0171411

Fawole, B. E., and Aderinoye-Abdulwahab, S. A. (2021). “Farmers' adoption of climate smart practices for increased productivity in Nigeria,” in African Handbook of Climate Change Adaptation , eds N. Oguge, D. Ayal, L. Adeleke, and I. da Silva (Cham: Springer). doi: 10.1007/978-3-030-45106-6_227

Fikire, A. H., and Zegeye, M. B. (2022). Determinants of rural household food security status in North Shewa Zone, Amhara Region, Ethiopia. Sci. World J. 12,1–8. doi: 10.1155/2022/9561063

Firdaus, R. R., Leong Tan, M., Rahmat, S. R., and Senevi Gunaratne, M. (2020). Paddy, rice and food security in Malaysia: a review of climate change impacts. Cogent Soc. Sci. 6, 1818373. doi: 10.1080/23311886.2020.1818373

Gundersen, C. G., and Garasky, S. B. (2012). Financial management skills are associated with food insecurity in a sample of households with children in the United States. J. Nutr. 142, 1865–1870. doi: 10.3945/jn.112.162214

Ihedioha, J. N., Abugu, H. O., Ujam, O. T., and Ekere, N. R. (2021). Ecological and human health risk evaluation of potential toxic metals in paddy soil, rice plants, and rice grains (Oryza sativa) of Omor Rice Field, Nigeria. Environ. Monit. Assess. 193, 1–17. doi: 10.1007/s10661-021-09386-3

Jabo, M. S. M., Ismail, M. M., Abdullah, A. M., and Shamsudin, M. N. (2017). Measurement and determinants of rural food poverty in Nigeria: recent evidence from general household survey panel. Int. Food Res. J. 24, 1011. Available online at: https://www.cabdirect.org/globalhealth/abstract/20193000055

Karki, S. T., Bennett, A. C., and Mishra, J. L. (2021). Reducing food waste and food insecurity in the UK: The architecture of surplus food distribution supply chain in addressing the sustainable development goals (Goal 2 and Goal 12.3) at a city level. Ind. Mark. Manag. 93, 563–577. doi: 10.1016/j.indmarman.2020.09.019

Khan, I. (2021). Yield gap analysis of major food crops in Pakistan: prospects for food security. Environ. Sci. Pollut. Res. 28, 7994–8011. doi: 10.1007/s11356-020-11166-4

Kidane, H., Alemu, Z. G., and Kundhlande, G. (2005). Causes of household food insecurity in Koredegaga peasant association, Oromiya zone, Ethiopia. Agrekon 44, 543–560. doi: 10.1080/03031853.2005.9523727

Kogo, B. K., Kumar, L., and Koech, R. (2021). Climate change and variability in Kenya: a review of impacts on agriculture and food security. Environ. Dev. Sustain. 23, 23–43. doi: 10.1007/s10668-020-00589-1

Kuwornu, J. K., Suleyman, D. M., and Amegashie, D. P. (2013). Comparative analysis of food security status of farming households in the coastal and the forest communities of Central Region of Ghana. Asian J. Empir. Res. 3, 39–61. Available online at: https://archive.aessweb.com/index.php/5004/article/view/2928/4445

Lawson, P. S. (2015). Progress towards Achieving the United Nations' First Millennium Development Goal: An Analysis of Income and Food Poverty in Nigeria's States of Osun and Jigawa . Nottingham Trent University (United Kingdom).

Leisner, C. P. (2020). Climate change impacts on food security-focus on perennial cropping systems and nutritional value. Plant Sci. 293, 110412. doi: 10.1016/j.plantsci.2020.110412

Maitra, C., and Prasada Rao, D. S. (2018). An empirical investigation into measurement and determinants of food security. J. Dev. Stud . 54, 1060–1081. doi: 10.1080/00220388.2017.1324144

Mannaf, M., and Uddin, M. T. (2012). Socio-economic factors influencing food security status of maize growing households in selected areas of Bogra District. Bangladesh J. Agric. Econ. 35, 177–187. doi: 10.22004/ag.econ.196772

Martin-Shields, C. P., and Stojetz, W. (2019). Food security and conflict: empirical challenges and future opportunities for research and policy making on food security and conflict. World Dev. 119, 150–164. doi: 10.1016/j.worlddev.2018.07.011

Matemilola, S. (2017). The challenges of food security in Nigeria. Open Access Lib. J. 4, 1. doi: 10.4236/oalib.1104185

Matuschke, I. (2009). Rapid Urbanization and Food Security: Using Food Density Maps to Identify Future Food Security Hotspots, No 51643, 2009 Conference, August 16–22, 2009. Beijing: International Association of Agricultural Economists . Available online at: https://econpapers.repec.org/scripts/redir.pf?u=https%3A%2F%2Fageconsearch.umn.edu%2Frecord%2F51643%2Ffiles%a2FIAAE2009_699.pdf;h=repec:ags:iaae09:51643

Mohammed, A., Wassie, S. B., and Teferi, E. T. (2021). Determinants of smallholders' food security status in kalu district, northern Ethiopia. Challenges 12, 17. doi: 10.3390/challe12020017

National Population Commission (NPC) (2006) Population Census of Federal Republic of Nigeria: Analytical Report. Available onlibe at: http://www.population.gov.ng/index.php/state-population (accessed January 10 2022)

Obayelu, A. E. (2012). Households' food security status and its determinants in the North-Central Nigeria. Food Econ. 9, 241–256. doi: 10.1080/2164828X.2013.845559

Ogundari, K. (2017). Categorizing households into different food security states in Nigeria: the socio-economic and demographic determinants. Agric. Food Econ. 5, 1-20. doi: 10.1186/s40100-017-0076-y

Oke, M. A. (2015). Determinants of national food security in Nigeria. J. Econ. Sustain. Dev. 6, 100–106. Available online at: https://www.iiste.org/Journals/index.php/JEDS/article/view/22617

Omotesho, O. A., Adewunmi, M. O., and Muhammed, A. (2016). Determinants of food insecurity among rural households in Kwara State of Nigeria. Afr. J. Agric. 2, 7–15. Available online at: https://ojs.klobexjournals.com/index.php/ajga/article/view/21

Osabohien, R. (2020b). Accountability in agricultural governance and food security in Nigeria. Braz. J. Food Technol. 23, 1–12. doi: 10.1590/1981-6723.08919

Osabohien, R. O., Ohalete, M. P., and Osabuohien, E. (2020a). Population–poverty–inequality nexus and social protection in Africa. Soc. Indic. Res. 151, 575–598. doi: 10.1007/s11205-020-02381-0

Otekunrin, O. A., Momoh, S., and Ayinde, I. A. (2019). How far has Africa gone in achieving the zero hunger target? Evidence from Nigeria. Glob. Food Secur. 22, 1–12. doi: 10.1016/j.gfs.2019.08.001

Pieters, H., Guariso, A., and Vandeplas, A. (2013). Conceptual Framework for the Analysis of the Determinants of Food and Nutrition Security. FOODSECURE Working Paper No. 13. doi: 10.22004/ag.econ.285141

Raimi, M. O., Muhammadu, I. H., Udensi, L. O., and Akpojubaro, E. H. (2020). Assessment of safety practices and farmers behaviors adopted when handling pesticides in rural Kano State, Nigeria. Arts Humanit. Open Access J . 4, 191–201. doi: 10.15406/ahoaj.2020.04.00170

Runge-Metzger, A. (1993). “Farm household systems in Northern Ghana,” in Farm Household Systems in Northern Ghana-A Case Study in Farming Systems Oriented Research for the Development of Improved Crop Production Systems , eds Runge-Metzger, A., and Diehl, L. (Weikersheim: Verlag Josef Margraf) 31-170.

Seck, P. A., Diagne, A., Mohanty, S., and Wopereis, M. (2012). Crops that feed the world 7: Rice. Food Secur. 4, 7–24. doi: 10.1007/s12571-012-0168-1

Slimane, M. B., Huchet-Bourdon, M., and Zitouna, H. (2016). The role of sectoral FDI in promoting agricultural production and improving food security. Int. Econ. 145, 50–65. doi: 10.1016/j.inteco.2015.06.001

Uduma, B. U., Samson, O. A., and Mure, U. A. (2016). Irrigation potentials and rice self-sufficiency in Nigeria: a review. Afr. J. Agric. Res. 11, 298–309. doi: 10.5897/AJAR2015.10284

Wudil, A. H., Ali, A., Hassan, S., and Mushtaq, K. (2021). Exploratory factor analysis of the perceived constraints affecting rice farmers of kano river irrigation (KRIP) kano state, Nigeria. Int. J. Agric. Ext. 9, 485–492. doi: 10.33687/ijae.009.03.3789

Yusuf, B. L., Mustapha, A., Yusuf, M. A., and Ahmed, M. (2020). Soil salinity assessment using geo-statistical models in some parts of Kano River Irrigation Project Phase I (KRPI). Model. Earth Syst. Environ. 6, 2225-2234. doi: 10.1007/s40808-020-00841-7

Keywords: agricultural productivity, food security index, unemployment, population explosion, irrigation

Citation: Wudil AH, Ali A, Aderinoye-Abdulwahab S, Raza HA, Mehmood HZ and Sannoh AB (2023) Determinants of food security in Nigeria: Empirical evidence from beneficiaries and non-beneficiaries rice farmers of the Kano River Irrigation Project. Front. Sustain. Food Syst. 7:999932. doi: 10.3389/fsufs.2023.999932

Received: 21 July 2022; Accepted: 25 January 2023; Published: 15 February 2023.

Reviewed by:

Copyright © 2023 Wudil, Ali, Aderinoye-Abdulwahab, Raza, Mehmood and Sannoh. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Food Security in Nigeria: Impetus for Growth and Development

2020, Journal of Agricultural Economics and Rural Development, August 2020, https://doi.org/10.6084/m9.figshare.12949352

One of the most important and crucial debates in the world today is how to provide sufficient food for over seven billion people in the world. In 2019, 690 million people were suffering from hunger globally while about 135 million people in 55 countries and territories were suffering from acute food insecurity with Africa accounting for 73 million of this figure. Food insecurity is one of the major challenges of most African governments occasioned by an increasing number of people living in extreme poverty, high-level corruption, incidences of conflicts/terrorism, low level of human capital and unfavorable climate change in the region. Nigeria has the highest number of people living in extreme poverty globally. The Global Food Security Index (GFSI) rank of Nigeria has been on the increase since 2013 while it was ranked 94th among 113 countries in 2019. Nigeria is facing the challenge of food insecurity, especially in the northeastern and north-central states where conflicts/insurgency, kidnapping, armed banditry, cattle rustling and weather extremes are aggravating the food insecurity situation. This paper therefore recommends that the Nigerian government should redouble efforts aimed at improving food production and processing activities to ensure food security across the states and also boost exports.

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