基于三阶段DEA-Malmquist模型的我国农业全要素生产率增长研究  

Research on Increase in Agricultural Total-factor Productivity in China Based on Three-stage DEA-Malmquist Model

作　　者：华坚[1,2,3] 李政霖[1] 吴祠金[3] 

机构地区：[1]河海大学商学院,江苏南京211100 [2]江苏省"世界水谷"与水生态文明协同创新中心,江苏南京211100 [3]河海大学产业经济研究所,江苏南京211100

出　　处：《江西农业学报》2015年第10期134-141,共8页Acta Agriculturae Jiangxi

基　　金：教育部人文社会科学基金项目:地区差异视角下农村水利建设公共财政投入分担机制研究(12YJC630062);江苏省高校优秀中青年教师和校长境外研修计划资助;河海大学中央高校基本科研业务费项目(2015B06514)

摘　　要：通过构建三阶段DEA-Malmquist模型,对2007~2012年间全国30个省、直辖市和自治区的农业全要素生产率增长情况进行测度分析。研究结果表明,我国农业全要素生产率基本是增长的且与农业经济增长呈现出一定的相关性;农业技术进步是我国农业全要素生产率增长的最主要推动力;外部环境因素的存在对农业全要素生产率的增长确实会产生影响。剔除外部环境因素影响后,有更多的地区农业全要素生产率增长对农业经济增长有拉动作用。The three-stage DEA-Malmquist model was constructed to measure and analyze the increase situation of agricultural total-factor productivity of 30 provinces, municipalities or autonomous regions in China from 2007 to 2012. The research results showed that： the agricultural total-factor productivity of our country was basically incremental, and it presented a certain correlation with agricultural economic growth ; agricultural technological progress was the main force of driving the agricultural total-factor pro- ductivity growth in China; the existence of external environmental factors really could impact tile increase in agricultural total-factor productivity ; after removing the effects of external environmental factors, the increase in agricultural total-factor productivity in more areas had promoting effect on the agricultural economic growth.

关 键 词：农业全要素生产率 三阶段DEA-Malmquist 技术进步 

分 类 号：F323.5[经济管理—产业经济]