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Emphasis on the potential roles diverse farm production systems could play in enhancing food consumption variety and nutritional well-being in rural developing countries has increased in recent times. However, there are paucities of empirical works connecting diversity in agricultural production and dietary diversity in Africa, and Nigeria in particular. The purpose of this paper is to, therefore, examine, among others, the causal link between farm production diversity and consumption of varied diets among farm households in Nigeria using a nationally representative panel data.

Unlike the simple food count measure, the authors adopt two-dimensional indices to assess food diversity, and estimated both fixed and random effects versions of panel data econometrics models with the two-dimensional indices as regressands.

Results show that food production system is less diverse with an average farm household consuming fairly varied foods across seasons. All the econometrics models estimated consistently established positive and statistically significant influence of farm production diversity on household dietary diversity. Higher food prices, especially rice and roots and tubers could substantially reduce dietary diversity with the negative effects likely to be more devastating for low-income farm households. The specificity of household being a net food seller had positive, although weak influence on dietary diversity.

The findings accentuate, among others, the need for strategies to promote farm production diversity, transform farm households to net-sellers of foods and enable them take advantage of food price signals to boost farm incomes as important pathway for diet quality improvement and reduction of food insecurity, malnutrition and related diseases in rural Nigeria

Despite a reduction in poverty the global population in 2015, the incidence of poverty remains very high in Sub-Saharan African countries. Most of the countries in the region are agrarian, with most of their population residing in rural areas, and a majority of the poor in the region are found in Nigeria. This study examined the nexus between participation in nonfarm enterprises (NFEs) and poverty among rural farm households in Nigeria and across the six geopolitical zones.

The Nigerian Living Standard Survey (NLSS) conducted in 2018–2019 by the National Bureau of Statistics was used. We made use of 13,440 farm households with useful information for the purpose of this study. The sample comprises 6,885 households that participated in NFEs and 6,555 nonparticipating households. The data were analyzed with Foster, Greer, and Thorbecke (FGT) (1984) metrics, probit, and fractional probit models at p = 0.05.

The incidence of poverty was lower among the participating households than in the nonparticipating households. Participation in NFEs had a mitigating effect on poverty. We also established that zonal differentials in poverty rates exist among households in all the analyses. Participation in NFEs was influenced by individual, household, and institutional factors and was also able to explain the depth of poverty among the respondents.

It is suggested that poverty alleviation policies should be targeted at improving access to nonfarm economic activities by rural farm households residing in vulnerable geopolitical zones.

This study is the first attempt to profile household poverty based on the type of NFEs they are involved in. The study also provides an insight into the effect of the state of residence on zonal poverty models, which is expedient if the country must achieve Sustainable Development Goal 1 on the eradication of poverty everywhere.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-06-2023-0493

The purpose of this paper is to study an innovative rice value chain financing system (VCFS) established in Benin, to identify the determinants of producers and processors access to formal credit, both at intensive and extensive margins. It focuses on multi-stakeholder platforms (MSP) which connect producers and processors in need of credit to potential financial lenders.

The empirical analysis uses rich cross-sectional survey data collected in Northern Benin in 2018. The sample consists of 215 rice producers and 217 rice processors randomly selected through a multi-stage sampling and interviewed with structured questionnaires. The empirical models analyze the determinants of the likelihood to receive a credit and the amount of credit received. To account for the sample selection and censored nature of the main outcome variable, the study considers a Heckman two-stage model coupled with a Tobit model for robustness checks.

The study finds that the MSP are effective in increasing access to formal credit and the amount borrowed. Producers and processors who are members of the MSP are more likely to receive credit and, conditional on being approved for credit borrower, a larger amount. Other key factors that significantly explain access to credit include the use of soft guarantee for securing a loan, the degree of participation in the platform and demographic characteristics. These findings are consistent across the Heckman and Tobit models.

The study attempts to rigorously analyze the factors explaining producers and processors access to credit using cross-sectional survey data. But it has some limitations. The main limitation is the type of data used. Ideally, one would like to run a randomized control trial (RCT) to randomly assign participation in the MSP to causally estimate its impact of access to credit. The second-best option would be to have a panel data covering the period before and after the establishment of the platform. However, in the absence of an RCT or panel data, the study resorts to cross-sectional data and empirical models that account for sample selection bias and the censored nature of the credit received.

One of the key findings of the study is that participation in the MSP (through different value chain stages associations) increases access to formal credit. This highlights an important and effective mechanism, a well-coordinated value chains that integrated lenders, that policymakers can leverage to facilitate access to credit in the agricultural sector.

Access to credit is important to boost agricultural productivity and income. Hence, the findings of the study have social implications in terms of poverty reduction in rural areas.

The study contributes to earlier theories and empirical studies on the demand for credit. It focuses on an innovative VCFS, increasingly adopted in many developing countries, adds originality and value to the understanding of mechanisms to unlock agricultural actors’ access to credit in low-income countries.

The role of household socio‐economic factors towards achieving enduring poverty interventions especially among urban households of Nigeria cannot be overemphasized. Household socio‐economic factors, among others, have been identified by development practitioners in developing countries as variables which can easily be manipulated through policy levers to improve welfare of the poor. The purpose of this paper is to examine poverty situations among urban households in Ekiti State, Nigeria with emphasis on household socioeconomic characteristics and their associated influence on poverty.

A multistage sampling approach was used to select 80 households who were interviewed using a well structured questionnaire. Data collected were analyzed through Poverty index and Tobit regression model.

The study found that 41.0 percent of the households covered by the study were poor and would have to mobilize financial resources up to 45.0 percent of 1 US Dollar (N130) per day (for each household member) to be able to escape poverty. The incidence and depth of were higher among female headed households with values 0.26 and 0.43, respectively. The same pattern was also found among households with larger number of dependants with values ranging from 0.74 to 1.00 for incidence of poverty and from 0.70 to 0.77 for depth of poverty. Dependency ratio, household assets and educational status of household head, among others, are socio‐economic factors influencing the poverty.

The study recommends, among others, implementation of the new minimum wage scheme, encouragement of the universal basic education and adult education programmes, employment generations, family planning measures, and a well focused gender specific interventions for poverty reduction.

The study aimed to investigate the problem of malnutrition among Nigerian households with emphasis on protein and calorie intake.

Multi-stage random sampling approach was used to select 321 household members drawn from a total of 80 households. A combination of descriptive and inferential statistics was applied in analysing the data.

The study revealed that household income, dependency ratio, education and gender of household head, among others, are factors that would significantly influence per capita daily calorie and protein intake of households. Protein-energy malnutrition is more of inadequate calorie than protein intake. There was confirmatory evidence of inadequate consumption of calorie among pre-school and school age children, while adult male members seemed to consume the above requirements with the possibility of being at the risk of obesity. Though children were undernourished, they are unlikely to be marasmic.

The study examined the problem of malnutrition among Nigerian households with emphasis on protein and calorie intake. Socio-economic factors influencing per capita calorie and protein intakes as well as the possible risks of protein-energy malnutrition among household members were also examined. The patterns of intake of calorie and protein consumption among household members indicated the possibility of over-nutrition and under-nutrition coexisting among members of the households with over-nutrition and potential risks of obesity in adult males and under-nutrition among pre-school and school age children.

The economic importance of palm oil produced by its producers in food requirement, income generation, production and consumption has led to a significant increase in its demand over the years. Thus, this chapter evaluates the effects of palm oil price fluctuations on the welfare of palm oil producers in Nigeria based on annual time series data (1980–2018). In achieving its objectives, the study employs Autoregressive distributed lag model (ARDL). The result establishes the presence of a long-run relationship in the welfare of palm oil producers. The long-run estimates show that palm oil prices had a positive but insignificant relationship with the welfare of palm oil producers. In the short-run estimates, palm oil price and the exchange rate had adverse and significant effects on the welfare of palm oil producers, while the inflation rate positively and significantly influenced welfare. Therefore, the welfare programme should adopt policies that will stabilise the palm oil price and other foodstuffs to increase the standard of living of palm oil producers and raise their literacy levels.