数字经济发展降低农业碳排放强度了吗?——基于30省份的面板数据分析
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1.新疆大学经济与管理学院;2.新疆大学经济与管理学院 3.乌鲁木齐

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国家社会科学基金青年项目(21CJY038)资助


Has the development of the digital economy reduced the carbon emission intensity in agriculture?—— Based on panel data analysis of 30 provinces
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    摘要:

    “双碳”目标下,数字经济已成为推动农业绿色转型的重要驱动力。利用2015—2023年我国30省份的面板数据,通过基准回归模型、调节效应模型以及空间杜宾模型探究数字经济发展对农业碳排放强度的影响机制和空间溢出性。研究发现:(1)2015—2023年我国30个省份数字经济指数整体快速增长,增速呈现由东向西递减趋势,数字化程度高的省份与低的省份之前的差距越来越大。另外,从时序演变看,农业碳排放强度整体呈现稳步下行态势;从区域分布特征来看,中西部地区的农业碳排放强度显著高于东部省份,省域间碳减排水平的梯度差异较为明显。(2)在东部地区,农业的规模化特征引致数字经济对农业碳排放强度的正向效应更为凸显;中部地区的农业碳排放强度呈现下降态势;西部地区的数字化进程较两者的发展速度相对较缓,其对农业碳排放强度的影响不显著。(3)调节效应分析发现财政支农力度提升与城镇化水平推进,可通过促进数字化发展间接抑制农业碳排放强度;空间溢出效应分解结果表明农村居民可支配收入对农业碳排放强度具有显著抑制作用,且该效应在总效应、直接效应与间接效应中均得到充分体现,反映出其对农业碳减排的影响兼具本地效应与跨区域传导特征。(4)数字经济的发展对农业碳排放强度的抑制作用在东部地区、粮食主产区以及种植业区尤为显著。因此,国家应增强财政支农力度,增加农民收入,充分利用数字经济在技术渗透、产业结构调整和城市化等方面对农业碳减排的积极作用;同时,在制定差异化减碳政策时,政府也应明晰核心方向,以确保数字经济能够发挥其低碳的正向外部性,进而助力农业的高质量发展。

    Abstract:

    Under the dual carbon goals, the digital economy has become a crucial driver promoting the green transformation of agriculture. Using panel data from 30 provinces in China from 2015 to 2023, this study explores the impact mechanism and spatial spillover effects of digital economy development on agricultural carbon emission intensity through benchmark regression models, moderating effect models, and the spatial Durbin model. The findings are as follows: (1) From 2015 to 2023, the digital economy index of China’s 30 provinces showed overall rapid growth, with the growth rate decreasing from east to west. The gap between provinces with high and low levels of digitalization continues to widen. In terms of temporal evolution, agricultural carbon emission intensity exhibited a steady downward trend overall. From a regional distribution perspective, agricultural carbon emission intensity in central and western regions is significantly higher than in eastern provinces, and gradient differences in carbon reduction levels among provinces are quite pronounced. (2) In eastern regions, the scale characteristics of agriculture lead to a more prominent positive effect of the digital economy on agricultural carbon emission intensity. In central regions, agricultural carbon emission intensity shows a declining trend. In western regions, the pace of digitalization is relatively slower compared to the other two regions, and its impact on agricultural carbon emission intensity is not significant. (3) Moderating effect analysis reveals that increased financial support for agriculture and the advancement of urbanization can indirectly curb agricultural carbon emission intensity by promoting digital development. The decomposition results of spatial spillover effects indicate that rural residents’ disposable income significantly inhibits agricultural carbon emission intensity, and this effect is fully reflected in the total effect, direct effect, and indirect effect, demonstrating both local and cross-regional transmission characteristics in its impact on agricultural carbon reduction. (4) The inhibitory effect of digital economy development on agricultural carbon emission intensity is particularly significant in eastern regions, major grain-producing areas, and crop farming zones. Therefore, the state should enhance financial support for agriculture, increase farmers’ income, and fully leverage the positive role of the digital economy in technology penetration, industrial structure adjustment, and urbanization to reduce agricultural carbon emissions. Meanwhile, when formulating differentiated carbon reduction policies, the government should clarify the core direction to ensure that the digital economy can exert its low-carbon positive externality, thereby contributing to high-quality agricultural development.

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  • 收稿日期:2025-12-04
  • 最后修改日期:2026-04-02
  • 录用日期:2026-04-03
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