Performance evaluation of high-quality farmer training-survey data of farmers' training in Jiangxi province, China

Cheng Sendi (), Wong Swee Kiong () and Khalid Zanudin ()

Asian Journal of Agriculture and Rural Development, 2025, vol. 15, issue 2, 156-165

Abstract: This study aims to identify and evaluate key performance indicators of high-quality farmer training by employing the Analytic Hierarchy Process and factor analysis. This is crucial to serve as a reference for effective resource allocation for the training programs by the government. Data were collected through face-to-face interviews with the experts and an online questionnaire survey with participating farmers in the training. The analysis revealed five primary factors influencing the effectiveness of high-quality farmer training: training intention, overall satisfaction, professional quality, economic benefit, and social benefit. Social benefit emerged as the most significant indicator, while overall satisfaction was the least influential factor. The study comes to the conclusion that judging the effectiveness of good farmer training should include both short-term and long-term benefits. This fills in a gap in the research that has been caused by evaluating training based on quantity rather than quality. The study's results suggest that training programs should use a multi-level index system that balances short-term and long-term benefits. This would help fix the problem with the current way of judging the effectiveness of training, which is that it isn't very thorough and can lead to evaluation subjects being put in the wrong place. By emphasizing social impact and delayed benefits, training institutions can enhance the overall quality and effectiveness of their programs, ultimately leading to more sustainable agricultural development.

Keywords: Analytic hierarchy process; High-quality farmers training; Performance evaluation; Rural revitalization. (search for similar items in EconPapers)
Date: 2025
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