环境规制对农业碳全要素生产率的影响及作用机制

Study on the impact of environmental regulation on agricultural carbon total factor productivity and its mechanism

  • 摘要: 提升碳全要素生产率是农业领域实现碳达峰碳中和的根本途径。本研究将碳排放纳入全要素生产率分析框架, 以2000—2020年我国省际数据为样本, 估算涵盖农地利用、水稻种植、畜禽养殖3个方面的农业碳排放, 分别利用EBM-GML模型和综合指数法测度农业碳全要素生产率和环境规制指数, 采用面板回归分析实证检验了环境规制对农业碳全要素生产率的影响及作用机制。结果表明: 在研究期间全国农业碳全要素生产率增长23.6%, 实现了较大幅度增长。环境规制对农业碳全要素生产率提升具有显著的促进作用, 命令型环境规制和经济型环境规制均发挥了显著正向作用。命令型环境规制和经济型环境规制均通过激发技术创新的正向作用和抑制产业集聚的负向作用促进农业碳全要素生产率的提升。只有经济型环境规制通过影响农业产业结构正向促进了农业碳全要素生产率提升, 命令型环境规制通过此路径作用不显著。研究表明, 优化农业环境规制体系, 推进农业技术创新、调整农业产业结构、优化农业产业集聚等, 有助于农业领域“双碳”目标的实现。

     

    Abstract: Enhancing carbon total factor productivity (TFP) is the fundamental approach to achieving carbon peak and carbon neutrality in the agricultural sector. This study incorporates carbon emissions into the TFP analysis framework, using provincial data from China between 2000 and 2020 as a sample to estimate agricultural carbon emissions, including farmland use, rice cultivation, and livestock and poultry farming. The EBM-GML model and the comprehensive index method are employed to measure agricultural carbon TFP and environmental regulation index, respectively. Panel regression analysis is used to empirically test the impact of environmental regulation on agricultural carbon TFP and its mechanism. The results indicate that agricultural carbon TFP increased by 23.6% during the study period, achieving a significant growth. Environmental regulation significantly promotes the enhancement of agricultural carbon TFP, with both command-and-control and economic environmental regulations playing a significant positive role. When comprehensive environmental regulations, command-and-control environmental regulations, and economic-based environmental regulations each increase by 1 unit, agricultural carbon TFP will increase by 0.768, 0.823, and 1.034 units, respectively. We construct mediating effect model with technological innovation, industrial structure, and industrial agglomeration as mediating variables, and combine panel regression estimation with the bootstrap method to test the mechanism of environmental regulation affect agricultural carbon TFP. The mechanism test results reveal that command-and-control environmental regulations and economic environmental regulations both promote the improvement of agricultural carbon TFP by inspiring the positive role of technological innovation and suppressing the negative effects of industrial agglomeration in agriculture. Only economic environmental regulation positively affects agricultural carbon TFP by influencing the agricultural industrial structure, while the effect of command-and-control environmental regulation through this path is not significant. The study suggests that optimizing the agricultural environmental regulation system, promoting agricultural technological innovation, adjusting the agricultural industrial structure, and optimizing the agglomeration of agricultural industries will contribute to achieving the dual carbon goals in the agricultural sector.

     

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