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环境规制降低农业碳强度的效应、机理与路径研究

Study on the effects, mechanisms, and pathways of environmental regulation on agricultural carbon intensity reduction

  • 摘要: 环境规制是我国实现“双碳”目标和推动农业绿色转型的重要手段。基于2011—2022年全国30个省份(不含西藏和港澳台)面板数据,本文采用面板回归模型与模糊集定性比较分析方法,系统探讨环境规制对农业碳强度的影响及其作用机制。研究结果表明:1)环境规制显著降低农业碳强度,且结论经过多重稳健性检验仍然成立。2)区域异质性分析显示,东部和中部地区综合环境规制的抑制作用显著强于西部地区;不同类型的环境规制在各地区的碳减排效果存在明显差异。3)机制分析表明,环境规制可通过促进绿色技术创新进一步降低农业碳强度。4)财政支农政策对综合环境规制、命令控制型和自愿参与型环境规制的减碳效应具有正向调节作用,但对市场激励型环境规制无显著调节作用。5)路径分析显示,单一因素不足以构成低农业碳强度的必要条件;实现低农业碳强度的组态路径主要有三类:命令主导型、多元协作型和双元驱动型。

     

    Abstract: Environmental regulation serves as a critical pathway for China to achieve its “dual carbon” goals and promote the green transformation of agriculture. Based on panel data from 30 provinces in China from 2011 to 2022, excluding Xizang, Hong Kong, Macao, and Taiwan, this study employs panel regression models and fuzzy-set qualitative comparative analysis to examine the effects of environmental regulation on agricultural carbon intensity and the underlying mechanisms. The results show that environmental regulation significantly reduces agricultural carbon intensity, and this conclusion remains robust after multiple robustness tests. Regional heterogeneity analysis indicates that the inhibitory effect of environmental regulation is significantly stronger in the eastern and central regions than in the western region, while the carbon reduction effects of different types of environmental regulation vary markedly across regions. Mechanism analysis further reveals that environmental regulation can reduce agricultural carbon intensity by promoting green technological innovation. Moreover, fiscal support for agriculture positively moderates the effects of comprehensive environmental regulation, command-and-control regulation, and voluntary participation regulation on agricultural carbon intensity, but does not exhibit a significant moderating effect on market-incentive environmental regulation. From a configurational perspective, no single factor constitutes a necessary condition for achieving low agricultural carbon intensity. Instead, three main configuration paths are identified, namely the command-dominated type, the multi-party collaborative type, and the dual-driven type.

     

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