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农业数字化转型的减污降碳协同效应
摘要点击 428  全文点击 18  投稿时间:2024-12-20  修订日期:2025-03-24
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中文关键词  数字化转型  减污降碳  协同效应  农业  绿色技术创新  资源配置效率
英文关键词  digital transformation  pollution and carbon reduction  synergistic effect  agriculture  green technology innovation  resource allocation efficiency
DOI    10.13227/j.hjkx.20260217
作者单位E-mail
史常亮 湖南省社会科学院经济研究所, 长沙 410003 scl2313@126.com 
中文摘要
      面对农业面源污染与碳排放两个同根同源的问题,如何实现减污降碳协同治理对于加快农业发展全面绿色转型至关重要. 数字化是现代农业发展的重要趋势,也为促进农业面源污染和碳排放协同减排提供新契机. 基于中国2005~2022年省域面板数据,采用国民经济核算法对各省农业数字化水平进行测度,在此基础上构建双向固定效应模型,实证检验农业数字化转型的减污降碳协同效应及其机制. 结果发现,农业数字化转型存在显著的减污降碳协同效应,该结论在处理内生性和经过一系列稳健性检验后依然成立. 机制检验发现,数字化能够通过促进农业绿色技术创新和提高农业资源配置效率的双重路径,实现农业减污降碳协同推进. 异质性分析表明,在东部地区、高数字化水平地区、高数字基础设施地区和高人力资本地区,农业数字化转型表现出更显著的减污降碳协同效应.
英文摘要
      Confronted with the intertwined challenges of agricultural non-point source pollution and carbon emissions, the synergistic reduction of both is crucial for the comprehensive green transformation of agricultural development. Based on measurements of the agricultural digitization level in each province, this study empirically examines the impact of digital transformation on the synergy between pollution and carbon reduction, as well as its underlying mechanisms, using provincial panel data from 2005 to 2022. The study concluded that agricultural digital transformation had a significant synergistic effect of reducing pollution and carbon emissions, and it could simultaneously and significantly reduce the emissions of agricultural non-point source pollutants and carbon emissions. After conducting robustness tests, such as controlling for endogeneity, replacing the explained variables and core explanatory variables, adjusting the research window, and using the system GMM estimation, this conclusion still holds. Mechanism analysis revealed that green technology innovation and improvements in resource allocation efficiency were two key channels through which digital promotion could facilitate the synergistic development of pollution and carbon reduction in agriculture. Heterogeneity analysis indicated that the benefits of agricultural digital transformation in achieving pollution and carbon reduction synergies were more pronounced in the eastern region, areas with high levels of digitization, regions with advanced digital infrastructure, and locales with abundant human capital.

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