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| 数字乡村建设对种植业碳排放的影响 |
| Impact of digital village construction on carbon emissions from planting industry |
| Received:July 02, 2025 |
| DOI：10.13254/j.jare.2025.0660 |
| 中文关键词: 数字乡村建设;种植业碳排放;农业全要素生产率;超效率SBM模型 |
| 英文关键词: digital village construction;carbon emissions from planting industry;agricultural total factor productivity;super-efficient SBM model |
| 基金项目:教育部人文社会科学研究青年基金项目（24YJC630091）；湖北省教育厅哲学社会科学研究项目（23G072，23Q164） |
| Author Name | Affiliation | E-mail | | SHI Zhanwen | School of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, China | | | JIAO Yufan | School of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, China | | | CUI Xufeng | School of Business Administration, Zhongnan University of Economics and Law, Wuhan 430073, China | | | JIN Shaojia | School of Mathematics and Statistics, Wuhan Textile University, Wuhan 430200, China | sjjin@wtu.edu.cn |
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| 中文摘要: |
| 数字乡村建设如何系统影响种植业碳排放，是关乎农业绿色转型成效的重要议题。本研究基于2011—2022年我国30个省级面板数据，构建数字乡村建设水平测算体系，运用双向固定效应模型、中介效应模型、调节效应模型及门槛效应模型，分析数字乡村建设对种植业碳排放的影响。结果表明：数字乡村建设对种植业碳排放具有显著抑制效应，其水平每提升1%，种植业碳排放量平均降低3.41×106 t，该结论经多种稳健性检验后依然成立。农业全要素生产率是关键中介变量，数字乡村建设通过提升全要素生产率间接实现碳减排。农业公共投资正向调节数字乡村的减排效能，农业绿色创新水平单门槛值1 293，超过该阈值后数字乡村建设的减排效应进一步强化。研究揭示数字乡村建设通过技术赋能与管理优化实现系统性减排。结合上述核心机制，建议从数字基建部署、全要素生产率提升、公共投资优化与绿色创新能力建设等方面入手，制定差异化的政策体系，以助推农业绿色低碳发展。 |
| 英文摘要: |
| The issue of how digital village construction systematically affects carbon emissions from planting industry is a crucial topic regarding the effectiveness of agricultural green transformation. This study was based on the panel data of 30 provincial regions in China from 2011 to 2022. A measurement system for the level of digital village construction was constructed, and the two-way fixed-effect model, mediation effect model, moderation effect model, and threshold effect model were employed to analyze the impact of digital village construction on carbon emissions from planting industry. The results showed that digital village construction had a significant inhibitory effect on carbon emissions from planting industry. For every 1% increase in its level, the carbon emissions from planting industry decreased by an average of 3.41×106 t. This conclusion remained valid after various robustness tests. Agricultural total factor productivity was the key mediating variable. Digital village construction indirectly achieved carbon emission reduction by enhancing total factor productivity. Agricultural public investment positively moderated the emission reduction effectiveness of digital village construction. There was a single threshold value of 1 293 for the level of agricultural green innovation. After exceeding this threshold, the emission reduction effect of digital village construction was further strengthened. The study revealed that digital village construction achieved systematic emission reduction through technological empowerment and management optimization. Considering the above core mechanisms, it was recommended to formulate a differentiated policy system by focusing on digital infrastructure deployment, total factor productivity improvement, public investment optimization, and green innovation capacity building to promote the green and low-carbon development of agriculture. |
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