Determinants of Participation by Farm Households in Local Agricultural Groups and the Adoption of Climate-Smart Agriculture Practices: Insights from Uganda
The agriculture sector, heavily reliant on rainfall, faces significant challenges due to climate change, particularly in developing countries where it supports many communities. In response, climate-smart agricultural practices have been developed to address these adverse effects. Numerous factors influence the adoption of climate-smart practices, particularly membership in local agricultural groups. This study aims to examine the determinants that influence the decisions of farm households to participate in local agricultural groups and adopt climate-smart agricultural practices in the Rakai district of Uganda. The used data were collected through a cross-sectional survey involving 343 farm households, and the joint factors affecting their decisions were analyzed using a bivariate probit regression model. The econometric analysis indicates that several factors, including gender, land ownership, access to extension services, the ability to utilize climate information, the sharing of climate information with non-household members, experiences of drought-related climate shocks, and the use of autonomous climate change adaptation strategies, positively influence farm households’ decisions to join local agricultural groups and adopt climate-smart agricultural practices. Consequently, development actors should facilitate the formation of local agricultural groups and encourage the active participation of farm households to promote the adoption of climate-smart agricultural practices systematically. The membership in local agricultural groups and adopting climatesmart agricultural practices are mutually reinforcing. Moreover, enhancing the awareness and knowledge of farm households through disseminating relevant climate information by local agricultural groups is essential for fostering informed decision-making in agricultural practices.
목차
Abstract 1. Introduction 2. Methods and Materials Data 2.1. Data analysis The Bivariate Probit Model 3. Results and Discussion 3.1. Types of local agricultural groups available in the study area 3.2. CSA practices and the percentage of adoption in the study area 3.3. Determinants of membership to local agricultural groups and adoption of climate smart agriculture practices 3.4. Determinants of membership to local agricultural groups 3.5. Determinants of the adoption of climate smart agriculture practices 4. Conclusion References
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간행물
간행물명
선문효정학술연구회 학술대회 프로시딩
간기
반년간
수록기간
2023~2026
십진분류
KDC 238DDC 289
이 권호 내 다른 논문 / 선문효정학술연구회 학술대회 프로시딩 Proceedings of THE 5th INTERNATIONAL CONFERENCE OF HYOJEONG ACADEMY