农业全要素生产率空间格局演化、驱动因素及提升策略——以扬州市为例  

The Spatial Pattern Evolution,Driving Factors and Influencing Factors of Agricultural Total Factor Productivity Promotion Strategy——Taking Yangzhou City as An Example

作　　者：徐俊杰 余淼 韩宏华[1] XU Junjie;YU Miao;HAN Honghua(Business School of Yangzhou University Yangzhou,Jiangsu 225009)

机构地区：[1]扬州大学商学院,江苏扬州225009

出　　处：《现代农业研究》2024年第9期32-35,共4页Modern Agriculture Research

基　　金：扬州大学科创基金项目“基于超效率SBM模型的扬州市农业生态效率时空格局演化、驱动因素及提升策略研究”(项目编号:XCX20230931)。

摘　　要：农业全要素生产率效率是衡量农业经济增长、农业生态环境保护与资源节约统筹发展的重要指标。文章基于扬州2008—2017年扬州的面板数据;采用超效率SBM模型就其农业全要素生产率展开了实证分析并在此基础上对其影响因素进行了剖析。结果表明:研究期间扬州市各乡镇农业全要素生产率空间上凸显个体差异性特征;影响因素分析发现不同区域对各要素的响应程度存在很大的差异性。The efficiency of total factor productivity in agriculture is an important indicator for measuring the coordinated development of agricultural economic growth,agricultural ecological environment protection,and resource conservation.The article is based on panel data from Yangzhou from 2008 to 2017;An empirical analysis was conducted on its agricultural total factor productivity using the super efficiency SBM model,and based on this,the influencing factors were analyzed.The results indicate that during the research period,individual differences in agricultural total factor productivity were highlighted in the spatial distribution of each township in Yangzhou city;Analysis of influencing factors reveals significant differences in the response of different regions to various elements.

关 键 词：农业全要素生产率 时空格局 影响因素 超效率SBM模型 

分 类 号：F304.7[经济管理—产业经济]