中国生物农业全要素生产率增长特征及行业差异  

Growth features and industry differences of total factor productivity in China's bio- agriculture

作　　者：季凯文[1,2] 

机构地区：[1]江西财经大学产业经济研究院,江西南昌330013 [2]江西省发展改革研究院经济研究所,江西南昌330046

出　　处：《科研管理》2016年第7期145-153,共9页Science Research Management

基　　金：国家自然科学基金项目"基于损失厌恶的的供应链决策行为与管理策略研究"(编号:71261006;起止时间:2013-2016);江西省社会科学"十二五"规划项目"中国生物农业技术效率测度及其提升路径研究"(编号:15GL35;起止时间:2015-2017);中国博士后科学基金第59批面上资助项目"技术效率;技术进步与中国生物农业发展"(编号:2016M592102;起止时间:2016-2018)

摘　　要：本文以上市公司为样本,采用考虑环境因素的三阶段DEA-Malmquist指数模型,实证分析了中国生物农业全要素生产率的真实增长特征及行业差异。研究发现,宏观经济的快速扩张、政府补贴的增加以及过于集中的股权结构,不利于全要素生产率的提升;剔除环境变量和随机误差的影响后,全要素生产率增长更为显著且主要由技术效率推动,技术水平呈现退步趋势;全要素生产率增长的样本差异分化明显,各子行业发展相对均衡,而子行业内部良莠不齐。为此,政府应优化外部环境、促进技术创新、强化分类指导,以便更为有效地提升生物农业全要素生产率。Taking listed companies as samples and using three stage DEA- Malmquist index model which considers environmental factors,this paper makes empirical analysis on the real growth features and industry differences of total factor productivity in China＇s bio- agriculture. The results show that rapid expansion of macro economy,increase of government subsidies and excessive concentration of ownership structure,are not conducive to improve total factor productivity; growth of total factor productivity is more significant which driven mainly by technical efficiency and technical level is backward after eliminating influence of environmental variables and random errors; sample differences of total factor productivity growth is obvious,development of various sub- sectors is relatively balanced,but development of internal sub- sector is uneven. Therefore,government should optimize external environment,promote technological innovation,and strengthen classification guidance in order to improve total factor productivity of bio- agriculture more effectively.

关 键 词：生物农业 全要素生产率 三阶段DEA模型 MALMQUIST指数 

分 类 号：F323.3[经济管理—产业经济]