农业全要素碳生产率空间分异与收敛  

Spatial Differentiation and Convergence of Agricultural Total Factor Carbon Productivity

作　　者：胡江峰 黄庆华[2] HU Jiangfeng;HUANG Qinghua

机构地区：[1]重庆社会科学院,重庆400020 [2]西南大学经济管理学院,重庆400715

出　　处：《华中农业大学学报（社会科学版）》2024年第5期57-71,共15页Journal of Huazhong Agricultural University(Social Sciences Edition)

基　　金：重庆社会科学院自主重大项目“绿色转型背景下中国农业资源配置扭曲与优化路径研究”(2023ZZ0101)。

摘　　要：准确评估农业低碳发展绩效,识别其时空演化特征和趋势,是科学制定低碳农业发展政策,实现农业经济增长与生态环境和谐共进的现实需要。首先基于SBM函数和GML指数测算1999-2021年中国269个城市农业全要素碳生产率(ATFCP),然后使用Dagum’s Gini系数刻画其空间分异特征,最后采用空间面板模型检验其收敛性。实证结果表明,中国农业全要素碳生产率总体呈上升趋势,且主要由技术进步驱动。ATFCP空间分异程度逐年扩大,主要来自各省级行政区间的差异(58.10%),其次为超变密度(38.15%),各省级行政区内部差异最小仅为3.75%。ATFCP不存在σ收敛,但存在β绝对收敛和β条件收敛,并且还存在空间溢出效应,即本地区ATFCP增长会加速促进周边地区ATFCP提升,调整样本时期、变换时间间隔和空间权重矩阵等稳健性检验后依然成立。Accurately assessing the performance of low‐carbon agricultural development and identifying its spatiotemporal evolution characteristics and trends are essential for scientifically formulating low‐carbon agricultural development policies and achieving harmonious progress between agricultural economic growth and ecological environment.Based on the SBM function and GML index,this study calculates the agricultural total factor carbon productivity(ATFCP)of 269 cities in China from 1999 to 2021.Then,Dagum’s Gini coefficient is used to characterize its spatial differentiation characteristics,and finally,spatial panel mode is employed to test its convergence.The empirical results indicate that China’s ATFCP an overall upward trend,primarily driven by technological progress.The regional differences in ATFCP have been expanding year by year,mainly due to inter‐provincial differences(58.10%),folowed by hypervariable density(38.15%),with intra‐provincial differences being the smallest at only 3.75%.There is no convergence in ATFCP,but absolute convergence and conditional convergence exist,along with spatial spillover effects.That is,the growth of the ATFCP in one area can accelerate the improvement of ATFCP in surrounding regions.This finding holds true even after robustness checks,such as adjusting the sample period,changing time intervals and altering spatial weight matrices.

关 键 词：农业全要素碳生产率 GML指数 GINI系数 收敛 空间面板模型 

分 类 号：F323.2[经济管理—产业经济]