农业补贴对农户绿色技术采纳的影响

The Effect of Agricultural Subsidies on Farmers’ Adoption of Green Technologies

  • 摘要: 深度锚定“双碳”战略目标并推进农业绿色高质量发展,已成为中国农业转型的必然选择。农户绿色技术的采纳行为,是缓解资源环境刚性约束、赋能农业可持续演进的关键。本文基于2020—2022年中国土地经济调查三期微观非平衡面板数据,构建有序Probit模型,实证检验了农业补贴对农户绿色生产技术采纳的影响及其影响机制。研究发现:农业补贴能够显著促进农户采纳绿色生产技术,该实证结果通过了一系列稳健性检验;农业补贴能够通过增加农户农业保险支出进而促进其采纳绿色技术。异质性分析表明,补贴的绿色技术采纳效应在偏好和资源禀赋方面存在明显差异,补贴对农户绿色技术采纳的促进作用在时间偏好较低、小规模农户,以及纯农户和非农户的群体中作用更显著。因此,应推动补贴向绿色行为绩效挂钩转型,强化“财税+保险”政策协同,并实施差异化扶持策略以完善社会化服务分类配套。

     

    Abstract: Deeply anchoring the strategic goals of the “dual carbon” initiative and promoting the green and high-quality development of agriculture have become an inevitable choice for China’s agricultural transformation. Farmers’ adoption behavior of green technologies is key to alleviating rigid constraints of resources and the environmental and enabling sustainable agricultural evolution. Based on three-wave micro-level unbalanced panel data from the China Land Economic Survey spanning 2020–2022, this paper constructed a panel random-effects ordered Probit model to empirically examine the impact of agricultural subsidies on farmers’ adoption of green production technologies and its underlying mechanisms. The findings revealed that agricultural subsidies significantly promoted farmers’ adoption of green production technologies, and this result remained robust across a series of robustness checks. Agricultural subsidies facilitate green technology adoption by increasing farmers’ agricultural insurance expenditures. Heterogeneity analysis indicated that the subsidy effect on green technology adoption varied significantly with respect to preferences and resource endowments: the promoting effect was more pronounced among groups with lower time preferences, small-scale farmers, and both pure agricultural households and non-agricultural households. Therefore, policy efforts should pivot toward linking subsidies with green performance, strengthen the “fiscal subsidy and insurance” policy synergy, and implement differentiated support strategies to improve the categorical allocation of socialized services.

     

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