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The major concern of most African countries, including Nigeria, in recent times is how to increase food production because of food insecurity issues, which by extension, is a major contributing factor to the prevalence of poverty. Therefore, adoption of conservation agricultural practices is regarded as a pathway to drive the achievement of food and nutrition security, as well as the needed optimal performance in the agri-food sector. Reportedly, scaling up of the limited adoption of these practices could be facilitated through kinship ties, peer influence, and social networks that govern mutual interactions among individuals; therefore, this motivated the study. Using cross-sectional data obtained from 350 sample units selected from South-Western Nigeria through a multistage sampling technique, this study applied descriptive statistical tools and cross-tabulation techniques to profile the sampled subjects while count outcome models were used to investigate the factors driving counts of conservative agriculture (CA) adoption. Similarly, a marginal treatment effects (MTEs) model (parametric approach) using local IV estimator was applied to examine the effects of CA adoption on the outcome (log of farmers’ farm income). Additionally, appropriate measures of fit tests statistics were used to test the reliabilities of the fitted models. Findings revealed that farmers’ years of farming experience (p < 0.1), frequency of extension visits (p < 0.05), and social capital viz-a-viz density of social group memberships (p < 0.05) significantly determined the count of CA practices adopted with varying degrees by smallholder farmers. Although, social capital expressed in terms of membership of occupational group and diversity of social group members also had a positive influence on the count of CA practices adopted but not significant owing largely to the “information gaps” about agricultural technologies in the study area. However, the statistical tests of the MTEs indicated that the treatment effects differed significantly across the covariates and it also varied significantly with unobserved heterogeneity. The policy relevant treatment effect estimates also revealed that different policy scenarios could increase or decrease CA adoption, depending on which individuals it induces to attract the expected spread and exposure.

Purpose Many nations in Sub-Saharan Africa, including Nigeria have initiated programmes targeted at addressing food insecurity, but without any major significant breakthrough. This necessitates the call for inclusion of social network institutional framework into the food and nutrition security policy of many developing countries. This is touted as an important social safety net needed for farming households’ economic advancement and welfare. Consequent on this, the purpose of this paper is to investigate the importance of social networks in building resilience against food insecurity among farmers in Oyo State, Nigeria. Design/methodology/approach Data collected from a sample of 297 smallholder farmers during 2015/2016 agricultural production season were analysed using descriptive statistics to describe farmers’ notable characteristics. However, Foster–Greer–Thorbecke indices vis-à-vis food consumption expenditure-metrics technique was used to evaluate the food security profile of the respondents. Similarly, ordinary least square and two-stage least square (2SLS) models were applied to investigate the effects and “reverse causality” in the social networks food security model. Findings The study findings indicated that about 48.15 per cent of the smallholder farmers are food insecure. Similarly, the study revealed that age (p<0.01), years of formal education (p<0.05), marital status (p<0.05), number of persons in the family (p<0.01), executive status in social groups (p<0.05), aggregate social networks (p<0.1) and non-food consumption expenditure (p<0.01) made significant contributions to food security status of farming households. Importantly, 2SLS estimation indicated non-existence of reverse causality effect of social networks components and households’ food security status. Social implications There is an urgent need for pragmatic policies that support systematic and organized social groups and networks formation in the rural/agrarian areas across Nigeria. Originality/value A widely accepted view of economic theory posits that traditional capitals (physical, economic/financial and human) drive households’ welfare including food security status. However, this study has established the relevance of social networks as an important component of human well-being. Apparently, this study also established the exogeneity of social networks in the framework of households’ food security status.

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This work was carried out in collaboration between all authors. Author SOO designed the study, managed the literature searches, performed the statistical analysis and wrote the first draft of the manuscript. Author MOR also managed and reviewed the literature searches, proof read the manuscript and the analyses of the study; then, made the necessary and appropriate suggestions and corrections; hence, all authors read and approved the final manuscript.