江汉大学学报(社会科学版) ›› 2024, Vol. 41 ›› Issue (4): 104-115.doi: 10.16387/j.cnki.42-1867/c.2024.04.011

• 经济理论与实践 • 上一篇    下一篇

农业碳排放效率测度及空间收敛性研究—基于中国省域面板数据动态分析

钱 力,孙 芳,宋俊秀   

  1. 钱 力.孙 芳. 安徽财经大学 经济学院,安徽 蚌埠 233030;宋俊秀. 安徽财经大学 金融学院,安徽 蚌埠 233030
  • 收稿日期:2024-05-13 出版日期:2024-08-28 发布日期:2025-01-03
  • 作者简介:钱力,男,安徽财经大学经济学院教授,博士;孙 芳,女,安徽财经大学经济学院硕士研究生;宋俊秀,女,安徽财经大学金融学院讲师,博士。
  • 基金资助:
    安徽省高校科研计划重大项目“劳动力流动对城乡融合发展的影响研究”(2022AH040085);安徽省新时代育人省级质量工程项目“农业生产经营数字化对农户经济效益的影响研究——基于安徽省 16 地市调研数据”(2023cxcy sj098);安徽省哲学社会科学规划项目“新阶段皖北地区‘四化同步’发展研究”(AHSKY2022D089);安徽财经大学研究生科研创新基金项目“农业碳排放效率测度及空间收敛性研究——基于中国省域面板数据动态分析”(ACYC2022464)

Measurement of Agricultural Carbon Emission Efficiency and Spatial Convergence:Dynamic Analysis of Provincial Panel Data of China

QIAN Li,SUN Fang,SONG Junxiu   

  1. QIAN Li,SUN Fang.School of Economics,Anhui University of Finance and Economics,Bengbu Anhui 233030; SONG Junxiu.School of Finance,Anhui University of Finance and Economics,Bengbu Anhui 233030)
  • Received:2024-05-13 Online:2024-08-28 Published:2025-01-03

摘要: 在“双碳”目标导向下,研究省域农业碳排放效率对利用农村减碳空间,促进低碳农业转型具有重要战略意义。利用非期望产出 SBM-GML 模型测算除港澳台、西藏之外中国大陆 30 个省、市、自治区 2010—2022 年农业碳排放量和农业碳吸收量,进而测算各省市农业碳排放效率,分析其静态和动态演变特征,并构建空间计量模型研究其空间收敛性。研究表明,我国农业碳排放效率整体呈现上升趋势,北部沿海地区农业碳排放效率最高,长江中游地区农业碳排放效率最低,各省存在较大差异,大部分省份效率仍处于中下水平,存在较大减碳潜力;技术进步有助于农业碳排放效率提高,而农业技术效率限制动态农业碳排放效率进一步上升;各省农业碳排放效率存在空间收敛特征,低效率省市向高效率省市“追赶”,农业机械总动力、产业结构对其收敛性存在显著影响。基于此,各省应该实施差异化农业碳减排策略,加大农业技术进步,调整产业结构,从而推进低碳农业转型,加快农业生态文明建设。

关键词: 农业碳排放效率;SBM-GML 模型;空间收敛

Abstract: Guided by the“double carbon”goals,the study of provincial agricultural carbon emission efficiency has important strategic significance for utilizing rural carbon reduction space and promoting low-carbon agricultural transformation. The non-expected output SBM-GML model is adopted to measure the amounts of agricultural carbon emission and agricultural carbon uptake in 30 provinces,municipalities,and autonomous regions in Chinese mainland,excluding Hong Kong, Macao,Taiwan,and Tibet. Then,the agricultural carbon emission efficiency of each province and municipality is measured,their static and dynamic evolution characteristics are analyzed,and a spatial econometric model is constructed to explore their spatial convergence. The findings are as follows:China’sagricultural carbon emission efficiency shows an overall upward trend,and the northern coastal areas have the highest agricultural carbon emission efficiency,the middle reaches of the Yangtze River have the lowest agricultural carbon emission efficiency,and with large disparities among provinces,the majority of provinces are still at the lower and middle levels of efficiency,with great carbon reduction potential;technological progress contributes to the rise of agricultural carbon emission efficiency,while agricultural technical efficiency limits the dynamic agricultural carbon emission efficiency to further increase;the agricultural carbon emission efficiency of each province features spatial convergence,and provinces and municipalities with low efficiencies are catching up with those of the high efficiency,and the total power of agricultural machinery and industrial structure have significant impacts on spatial convergence. According to the research, the municipalities,and autonomous regions should employ differentiated agricultural carbon emission reduction strategies,enhance agricultural technological progress,adjust industrial structure,so as to promote the transformation of low-carbon agriculture and accelerate the construction of agricultural ecological civilization.

Key words: agricultural carbon emission efficiency;SBM-GML model;spatial convergence

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