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农资服务商对茶农绿色防控技术采纳的影响及政府规制的调节作用

The impact of agricultural input dealers on tea farmers’ adoption of green prevention and control technologies and the moderating role of government regulation

  • 摘要: 农资服务商根植乡土社会,作为连接小农户与现代农业的重要桥梁,深刻影响着茶农的行为决策。本文将茶农绿色防控技术采纳划分为采纳广度与采纳深度两个维度,基于社会资本视角构建农资服务商对茶农绿色防控技术采纳影响的理论框架。利用陕西、安徽、四川三省重点茶区茶农调研数据,采用有序Probit模型和Double-Hurdle模型,分析农资服务商对茶农绿色防控技术采纳的影响,并进一步探讨政府规制的调节作用。研究结果表明:1)在采纳广度方面,农资网络、农资规范及农资参与显著促进茶农采纳更多绿色防控技术,而农资信任影响不显著;2)在采纳深度方面,农资网络显著提升茶农对三类防控技术的采纳深度,农资信任对生物防控呈正向影响但对其他技术无显著作用,农资规范促进生物防控和化学防控的采纳深度,农资参与主要影响物理防控的采纳深度;3)政府激励性规制、约束性规制和引导性规制在农资服务商影响茶农绿色防控技术采纳过程中发挥着显著的调节作用。基于此,本文建议加强农资服务商与茶农的互动,优化绿色防控技术财政支持,强化技术培训与推广,并加强政府监管与支持。

     

    Abstract: Agricultural input dealers are deeply rooted in rural society and serve as a crucial bridge connecting small-scale farmers with modern agriculture, profoundly influencing the behavioral decisions of tea farmers. This paper divides tea farmers’ adoption of green prevention and control technologies into two dimensions: adoption breadth and adoption depth. Based on the perspective of social capital, a theoretical framework is developed to analyze the impact of agricultural input dealers on the adoption of green prevention and control technologies by tea farmers. Using survey data from tea farmers in key tea-producing regions of Shaanxi, Anhui, and Sichuan provinces, ordered Probit and Double-Hurdle models are applied to empirically investigate the influence of agricultural input dealers on tea farmers’ adoption of green prevention and control technologies. Furthermore, the moderating role of government regulation in this process is examined. The results show that: 1) regarding adoption breadth, agricultural input networks, norms, and participation significantly promote tea farmers to adopt a wider range of green prevention and control technologies, while the effect of trust in agricultural input dealers is not significant; 2) regarding adoption depth, agricultural input networks significantly increase the adoption depth of all three types of prevention and control technologies; trust in input dealers positively affects the adoption depth of biological control but has no significant impact on other technologies; norms promote the adoption depth of biological and chemical control technologies; participation mainly affects the adoption depth of physical control; 3) government incentive-based, restrictive, and guidance-based regulations play significant moderating roles in the impact of agricultural input dealers on tea farmers’ adoption of green prevention and control technologies. Based on the findings, this paper recommends strengthening the interaction between agricultural input dealers and tea farmers, optimizing financial support for green prevention and control technologies, enhancing training and promotion efforts, and reinforcing government supervision and support.

     

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