1.桂林理工大学 商学院, 广西 桂林 541004
2.广西资源环境科技创新与绿色低碳;发展研究智库, 广西 桂林 541004
3.广西碳管理与绿色发展研究院, 广西 桂林 541004
王兴中(1974—),男(汉族),湖南省新宁县人,硕士,正高级实验师,主要从事创新管理方面的工作。Email:wangxzhong@glut.edu.cn。
江小芳(2000—),女(汉族),湖南省益阳市人,硕士研究生,研究方向为绿色创新、可持续发展。Email:theone11211@glut.edu.cn。
收稿:2024-12-11,
修回:2025-03-07,
纸质出版:2025-06-10
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王兴中, 江小芳, 尹彤.“双碳”背景下农业新质生产力对中国农业碳减排的影响[J].水土保持通报,2025,45(3):295-306.
Wang Xingzhong, Jiang Xiaofang, Yin Tong. Impact of China’s agricultural new-quality productivity on agricultural carbon emission reduction under background of ‘dual carbon’ [J]. Bulletin of Soil and Water Conservation,2025,45(3):295-306.
王兴中, 江小芳, 尹彤.“双碳”背景下农业新质生产力对中国农业碳减排的影响[J].水土保持通报,2025,45(3):295-306. DOI: 10.13961/j.cnki.stbctb.2025.03.036. CSTR: 32312.14.stbctb.2025.03.036..
Wang Xingzhong, Jiang Xiaofang, Yin Tong. Impact of China’s agricultural new-quality productivity on agricultural carbon emission reduction under background of ‘dual carbon’ [J]. Bulletin of Soil and Water Conservation,2025,45(3):295-306. DOI: 10.13961/j.cnki.stbctb.2025.03.036. CSTR: 32312.14.stbctb.2025.03.036..
目的
2
分析农业新质生产力对中国农业碳排放的影响,为制定农业绿色发展政策、优化农业资源配置、促进区域农业协同减排提供数据支持和理论依据。
方法
2
基于中国30个省区(不含西藏自治区、台湾省、香港和澳门特别行政区)2012—2022年的省级面板数据,通过核密度估计模型、空间杜宾模型和空间衰减模型等计量模型系统分析农业新质生产力对农业碳排放的影响。
结果
2
①农业新质生产力能够显著降低农业碳排放,即在加入所有控制变量的情况下,农业新质生产力的发展水平每提高1%,农业碳排放就会下降1.601%。 ②从空间视角来看,农业新质生产力的提高具有显著的空间溢出效应。 ③城镇化水平和政府支持对农业新质生产力抑制农业碳排放具有不同的调节作用。 ④农业新质生产力的减碳作用存在显著的空间异质性。西部地区、粮食主产区和胡焕庸线西北部地区的农业新质生产力对农业碳排放的减碳作用更为显著。
结论
2
农业新质生产力对农业碳减排有显著的促进作用,存在空间溢出效应和异质性特征,在构建区域协同减排机制和精准化政策设计时应予以充分考虑。
Objective
2
The impact of agricultural new quality productivity on China’s agricultural carbon emissions was analyzed in order to provide robust data support and theoretical foundations for formulating green agricultural policies, optimizing agricultural resource allocation, and promoting regional collaborative emission reduction in agriculture.
Methods
2
The impact of agricultural new quality productivity on agricultural carbon emissions was systematically analyzed using econometric models, such as the kernel density estimation, spatial Durbin, and spatial attenuation models, and provincial panel data (2012—2022) from 30 provinces (regions) (excluding Xizang Autonomous Region, Taiwan Province, Hong Kong SAR and Macao SAR) in China.
Results
2
① Agricultural new quality productivity significantly reduced carbon emissions. Specifically, when all control variables were included, for every 1% increase in the development level of agricultural new quality productivity, agricultural carbon emissions decreased by 1.601%. ② From a spatial perspective, improving agricultural new quality productivity had a significant spatial spillover effect. ③ Urbanization level and government support had different moderating effects on the ability of agricultural new quality productivity to inhibit agricultural carbon emissions. ④ The carbon reduction effect of agricultural new quality productivity exhibited significant spatial heterogeneity, with more pronounced effects in the western regions, major grain-producing areas, and areas northwest of the Hu Huanyong line.
Conclusion
2
Agricultural new quality productivity has a significant promotional effect on agricultural carbon emission reduction. Additionally, there are spatial spillover effects and heterogeneity characteristics that should be fully considered in the construction of regional collaborative emission reduction mechanisms and precise policy design.
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