Dynamic analysis of agricultural green development efficiency in China: Spatiotemporal evolution and influencing factors

作     者：LIU Yiping LU Chengpeng CHEN Xingpeng LIU Yiping;LU Chengpeng;CHEN Xingpeng

作者机构：Institute of County Economic Development&Rural Revitalization StrategyLanzhou UniversityLanzhou 730000China College of Earth and Environmental ScienceLanzhou UniversityLanzhou 730000China 

出 版 物：《Journal of Arid Land》 (干旱区科学（英文版）)

年 卷 期：2023年第15卷第2期

页      面：127-144页

核心收录：

学科分类：02[经济学] 0201[经济学-理论经济学] 020106[经济学-人口、资源与环境经济学] 

基　　金：supported by the Fundamental Research Funds for the Central Universities(21lzujbkydx010) 

主　　题：regional development economy technology spatial evolution influencing factors super-efficiency slacks-based measure 

摘      要：Green development of agriculture is important for achieving coordinated and high-quality regional development for China. Using provincial data from 1990 to 2020, this work explored the dynamics of agricultural green development efficiency of 31 provinces in China, its spatiotemporal characteristics, and its driving factors using a super-efficiency slacks-based measure(Super-SBM), the Malmquist productivity index(MPI), spatial autocorrelation, and a geographic detector. Results showed that the overall agricultural green development efficiency showed a U-shaped trend, suggesting a low level of efficiency. Although a gradient difference was visible among eastern, central, and western regions, the efficiency gap narrowed each year. Technological progress and efficiency both promoted agricultural green development efficiency, especially technological progress. Agricultural green development efficiency had significant spatial aggregation characteristics, but Moran’s Ⅰ result showed a downward trend from 2015 to 2020, indicating a risk of spatial dispersion in the later stage. The provinces with high agricultural green development efficiency were mainly concentrated in the eastern region, while those with low efficiency were concentrated in the central and western regions. Agricultural green development efficiency was influenced by various factors, which showed differences according to time and region. The impact of the labor force’s education level and technological progress increased during the study period, and significantly facilitated agricultural green development efficiency in the eastern region, while the central and western regions were still affected by the scale level and environmental regulation, reflecting the advantages of the eastern region in terms of economy and technology. In the future, strengthening agricultural scientific and technological innovation and deepening interprovincial cooperation can help further improve the level of green agricultural deve