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Abstract The aims of this study are to analysis adoption and impacts of conservation agriculture on poverty and resilience to drought in Eastern Ethiopia. Multi-stage sampling method was employed and four districts were randomly selected from Eastern Hararghe Zone. Using cross-sectional survey data collected in 2023 from 430 households, multinomial endogenous switching regression was applied in impact evaluation. The result shows farm experience, education, climatic-shocks experience, access to climate information, access to extension, number of oxen, farm size, labor force, livestock and distance to market are determinants of conservation agriculture (CA) adoption in terms of inter-cropping, crop rotation and crop residue retention or mulch practices in its single and combination of practices. Poverty was evaluated based on cost-of-basic-need and resilience to drought is in its index. Accordingly, the food poverty line and total consumption expenditure or total poverty line was found to be 6582.7ETB and 8620.70ETB per Adult/Equivalent per year in the study area. Results of average treatment effect on treated shows adoption is significantly reduced poverty and increased resilience to drought condition in the area. The study also shows importance role of extension service in adoption of CA practices. There is a need to encourage extension facilities and awareness to promote better adoption of CA particularly, in its combination. The combination of practices increased consumption expenditure of adopters by 73.3 percent compared to non-adopters, given its significant impact on households’ poverty and resilience to drought in moisture stress area of eastern Ethiopia. So, it is crucial to more advances farmers and experts’ information on climate shocks and conservation agricultural practices adoption. The policymakers ought to develop and encourage farmers’ asset building plan including livestock, adult education, market linkage facilities, extension and weather related information delivery service to enhance adoption of conservation agricultural practices to combat the current and future drought.

Farmers have adopted ecological farming to overcome the adverse effects of climate change and conventional agriculture. However, the performance of ecological approaches, especially the economic outcomes of ecological practices adopted as a package, has yet to be widely documented in Kenya. This paper aims to fill this gap and generate pertinent information on the implications of adopting different ecological practices bundles on farm income. The study considers five ecological practices: crop diversification, composting, mulching, minimum tillage, and integrated pest management (IPM). This study employed a multinomial endogenous switching regression (MESR) model to capture the effect of adopting different combinations of ecological practices on farm income. The results reveal that 15.3 % of the surveyed households adopted a bundle combining composting, crop diversification, and IPM. Households that adopted a comprehensive package (comprising all five ecological practices) had the largest positive impact on farm income, increasing it by 9.2 %. This package replaces chemical inputs with locally available resources, restores degraded soils and diversifies production risks to increase food production and farm income. Farming experience, off-farm activities, farm size, perceptions of the effects of conventional agriculture, and drought and floods significantly influenced the adoption of the comprehensive package. This study’s findings imply that policymakers and related stakeholders should provide timely weather-related information, enforce sustainable land use laws, and establish targeted extension services and information campaigns to heighten the adoption of all five ecological practices and enhance household welfare by increasing farm income.

This study investigates the factors affecting maize farmers’ decisions to adopt climate-smart agricultural (CSA) technologies and estimates the impacts of CSA technology adoption on maize yields and net farm income. Unlike most previous studies that analyze a single technology, we consider different combinations of three CSA technologies (zero tillage, row planting, and drought-resistant seed). A multinomial endogenous switching regression model addresses selection bias issues arising from observed and unobserved factors and analyses data collected from 3197 smallholder farmers in three Ghana regions (Brong-Ahafo, Northern, and Ashanti). The findings show that smallholder farmers’ decisions to adopt multiple CSA technologies are influenced by farmer-based organization membership, education, resource constraints such as lack of land, access to markets, and production shocks such as perceived pest and disease stress and drought. We also find that adopting all three CSA technologies together has the largest impact on maize yields, while adopting row planting and zero tillage as a combination has the largest impact on net farm income. Governments should collaborate with farmer-based groups and extension officers to improve farmers’ awareness and understanding of the benefits associated with CSA technologies and help them adopt multiple technologies that generate higher benefits. [ABSTRACT FROM AUTHOR]

Abstract The adoption of sustainable agricultural practices (SAPs) has been recommended by many experts and international institutions to address food security and climate change problems. Global support for the Sustainable Development Goals has focused attention on efforts to up-scale the adoption of SAPs in developing countries where growth in populations and incomes compromises the resilience of natural resources. This study investigates the factors affecting smallholder farmers’ decisions to adopt SAPs (improved seed, fertilizer, and soil and water conservation) and the impacts of the adoption on farm income and food security, using data collected from Ghana. Food security is captured by the reduced coping strategy index and household dietary diversity. The multinomial endogenous switching regression model is utilized to address selection bias issues. Results show that farmers’ decisions to adopt SAPs are influenced by the social demographics of the households, plot-level characteristics, extension services and locations. Adopting all three SAPs has larger positive impacts on farm income and food security than adopting single or two SAPs. Our findings advocate for policies that enhance the quality of extension service and strengthen farmer-based organizations for the wider dissemination of adequate SAP information. Farmers should be encouraged to adopt SAPs as a comprehensive package for increasing farm income and ensuring food security.

The adoption of sustainable agricultural practices (SAPs) has been recommended by many experts and international institutions to address food security and climate change problems. Global support for the Sustainable Development Goals has focused attention on efforts to up-scale the adoption of SAPs in developing countries where growth in populations and incomes compromises the resilience of natural resources. This study investigates the factors affecting smallholder farmers' decisions to adopt SAPs (improved seed, fertilizer, and soil and water conservation) and the impacts of the adoption on farm income and food security, using data collected from Ghana. Food security is captured by the reduced coping strategy index and household dietary diversity. The multinomial endogenous switching regression model is utilized to address selection bias issues. Results show that farmers' decisions to adopt SAPs are influenced by the social demographics of the households, plot-level characteristics, extension services and locations. Adopting all three SAPs has larger positive impacts on farm income and food security than adopting single or two SAPs. Our findings advocate for policies that enhance the quality of extension service and strengthen farmer-based organizations for the wider dissemination of adequate SAP information. Farmers should be encouraged to adopt SAPs as a comprehensive package for increasing farm income and ensuring food security. [ABSTRACT FROM AUTHOR]

Farmers have adopted ecological farming to overcome the adverse effects of climate change and conventional agriculture. However, the performance of ecological approaches, especially the economic outcomes of ecological practices adopted as a package, has yet to be widely documented in Kenya. This paper aims to fill this gap and generate pertinent information on the implications of adopting different ecological practices bundles on farm income. The study considers five ecological practices: crop diversification, composting, mulching, minimum tillage, and integrated pest management (IPM). This study employed a multinomial endogenous switching regression (MESR) model to capture the effect of adopting different combinations of ecological practices on farm income. The results reveal that 15.3 % of the surveyed households adopted a bundle combining composting, crop diversification, and IPM. Households that adopted a comprehensive package (comprising all five ecological practices) had the largest positive impact on farm income, increasing it by 9.2 %. This package replaces chemical inputs with locally available resources, restores degraded soils and diversifies production risks to increase food production and farm income. Farming experience, off-farm activities, farm size, perceptions of the effects of conventional agriculture, and drought and floods significantly influenced the adoption of the comprehensive package. This study's findings imply that policymakers and related stakeholders should provide timely weather-related information, enforce sustainable land use laws, and establish targeted extension services and information campaigns to heighten the adoption of all five ecological practices and enhance household welfare by increasing farm income., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2024 The Authors.)