Abstract

The available literature has ignored farmers’ perceptions on the benefits and drawbacks of adopting climate-smart agriculture (CSA) in favor of focusing primarily on profitability and economic constraints. We use the Ethiopian Socioeconomic Survey (ESS) and the General Household Survey from 2018 and 2019 to compare Nigeria and Ethiopia, both of which have sizable rural populations to assess farmers’ climate change perception and their adaptation options in promoting CSA. We first hypothesize that farmers with high tolerance for risk and stable financial resources are more likely to adopt CSA techniques, relying on the adopter perception theory of agricultural innovations and technologies. We address potential selection bias using the Heckman selection model, and estimate our data using multinomial logistic estimator, as well as standard logistic regression for robustness checks. We find that in both Ethiopia and Nigeria, household income and plot size influence farmers’ adaptations to climate change mitigation practices. However, farmers with bigger plots who run the risk of massive production loss tend to adopt measures of coping with climate change. We show that in both Ethiopia and Nigeria, rural farmers’ adaptation decisions are heavily influenced by agricultural extension programs and community social networks. Overall, our work highlights the important role of income, farm size, and climate-related information for investing in climate-smart agricultural methods to curb food insecurity in Sub-Saharan Africa.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.