Work

Policy preference and preference heterogeneity of farmers' participation in organic farming: Empirical analysis based on choice experiment method

Year: 2024
Type: article
Study design: Observational Study
Abstract: This study measures farmers' needs for organic farming development policies from the perspective of the main policy recipients, farmers, and then analyzes the direction of policy optimization based on 816 farmer questionnaire research data from the ibis habitat in Yangxian county, using the choice experiment method. The results found that: (1) Four policies, namely, financial subsidies, technical training, brand recognition and e-commerce support, can significantly increase farmers' willingness to participate in organic agriculture development programs, but restrictions on the use of chemical fertilizers and pesticides have a negative inhibitory effect. (2) There is heterogeneity in the preferences of farmers with different socioeconomic characteristics for organic farming development policies. (3) There are differences in farmers' preferences for different organic farming development policy combinations, with the highest preference for e-commerce support, followed by brand recognition, technical training, financial subsidies, and a negative preference for fertilizer and pesticide restrictions. This means that in the future, development of organic farming policy should not be limited to conventional financial subsidies and technical training, should be in line with the development of the times, break the inherent thinking, from the electric business support, brand recognition, etc., to help farmers build a bridge from production to marketing, to enhance the effectiveness of the policy. At the same time, it should fully consider the heterogeneity of farmers' location and endowment, closely follow the needs of farmers, and guarantee the fairness and effectiveness of the policy.
Authors: Kai-wen SU, Jie REN, Yi-lei HOU, Ya-li WEN
Language: English
Subfield: Plant Science
Open Access status: diamond
OpenAlex ID: W4403471090
FWCI: 0.448
Cites: 26
Cited by: 2
Related to: 10