Investigated in this work is the impact of contract farming participation on smallholder farmers’ income and food security in rice crop production in Northern Benin using 400 randomly selected rice farmer households. Unlike previous studies, we corrected for both observed and unobserved biases by combining propensity score matching (PSM) and the local average treatment effect parameter (LATE). The results showed significant negative consequences of partaking in rice contract farming. We found evidence of significant negative effects on rice production income at a 1% level. The more the rice farmers join in contract farming, the lower the farm income became. Decreased food consumption was also a result of contract farming participation for potential participants by a score of 60.64, placing their households at the food security status level of poor food consumption because the quantity and nutritional quality of the food consumed were inadequate. Contract farming is, therefore, not a reasonable policy instrument that can help farmers increase their income and improve their food security level in the Alibori Department, Benin if farmers do not diversify their crops. The necessary resources and economic environment are not yet in place to allow contract farming to take full advantage of its potential benefits. To prevent the wasting of scarce public resources, expanding contract farming would not be appropriate in marginal areas with markets and other infrastructure. Additional measures are needed for contract farming to be profitable for contracting actors and to ensure sustainability and the large-scale participation of farmers.

Reducing food insecurity remains a major public policy challenge in developing countries. Food insecurity becomes severe in areas where households highly depend on undiversified livelihoods. However, studies linking household income diversification to food security are limited. This study, therefore, examined the effect of income diversification on food security in the Ambo district, Ethiopia. A survey of rural (n = 175) and semi-urban (n = 175) households was conducted. The Simpson’s index of diversity (SID) was used to measure the level of household income diversity. Food security (access) was measured using the daily calorie consumption (nutrition-based) and the household food insecurity access scale (HFIAS) (experience-based) methods. Consequently, we used binary logistic regression and ordinary least squares (OLS) estimation methods to determine the effect of household income diversity on food security. The instrumental variable (IV) method was also employed to overcome an endogeneity bias. The results revealed that the level of household income diversification was low, and the majority of households were food insecure. The binary logistic and the second-stage least square (2SLS) regression results suggested that income diversification contributes significantly and positively to food security in the study areas. Therefore, we conclude that income diversification reduces food insecurity by enhancing households’ access to food.

Climate‐smart practices that have added benefits of improving agricultural productivity are an imperative for improving smallholder farming. However, there are few insights into how smallholder climate‐smart adaptation practices influence their technical (in)efficiency. Thus, the objective of this study was to evaluate the impact of smallholders’ climate‐smart adaptation practices on their crop production technical efficiency (TE) in the Lemo district of southern Ethiopia. We used focus group discussion, experts’ consultations and household survey to collect data from 600 smallholder crop producers across six rural kebeles. We computed smallholder farmers’ climate change adaptation indices based on experts' consultations and estimated the TE of the smallholder farmers using Stochastic Frontier Analysis. The smallholder farmers in the Lemo district have adopted climate‐smart agricultural practices such as terracing, crop diversification, improved soil amendment practices, varying planting or harvesting schedules, and crop rotation. The smallholder farm households practicing more adaptation strategies on a larger scale were more technically efficient than their counterparts with their TE averaging 11.31, 8.62, and 6.71% for major crops, wheat (Triticum aestivum L.), and teff [Eragrostis tef) (Zucc.) Trotter] production, respectively. Our model also revealed that adaptation to climate change has a positive and significant contribution to the technical efficiency of major crops, wheat, and teff production. Other key determinants of TE are farming experience, education, access to extension services, livestock holdings, and farm household income. Overall, our study suggests a policy shift to promote smallholder farmers adaptation to climate change using climate‐smart practices for an effective response to climate change impact while enhancing TE.

This study explored factors that determine smallholder farmers’ climate change adaptation practices and their impact on wheat yield in the Lemo district of southern Ethiopia. Focus group discussions and stakeholder consultations were used to supplement survey data collected from 537 wheat smallholder producers. We performed an impact evaluation analysis by combining endogenous switching regression (ESR) with propensity score matching (PSM) model to address the issue of unobserved biases. The study indicates that gender, farmers’ education level, farming experience, cooperative membership, access to extension services, and weather information were significant determinants of smallholder household decisions for climate change adaptation practices. Both ESR and PSM models revealed that smallholder farmers’ adaptation practices significantly enhanced wheat yield by 34.35%. This implies that climate-smart practices adopted by smallholder farmers are vital for improving and sustaining wheat yield. Thus, our findings suggest that policy actions should consider existing smallholder farmers’ knowledge and practices in policy actions aimed at mitigating climate change impacts to sustain agricultural productivity.