华东地区工业生态效率面板数据研究——基于整合超效率DEA模型分析  

Study of the Industrial Eco-efficiency with the Panel Data in East China——Based on the Super Efficiency DEA Model

作　　者：戴志敏[1,2] 曾宇航[2] 郭露[3] 

机构地区：[1]复旦大学应用经济学博士后流动站,上海200433 [2]南昌大学经济管理学院,南昌330031 [3]江西财经大学统计学院,南昌330013

出　　处：《软科学》2016年第7期35-39,共5页Soft Science

基　　金：国家自然科学基金项目(41361102);中国博士后科学基金第58批面上项目(2015M580276);教育部人文社会科学重点研究基地重点项目(13ZBZD01);江西省软科学重点项目(20151BBA10035)

摘　　要：构建了生态效率投入产出指标体系,运用超效率DEA法测度了相关省市2003~2013年间工业生态效率,并利用Malmquist指数对工业生态效率实施了动态对比,并建立Tobit模型对主要影响因素进行识别。研究结果表明：华东地区工业生态效率总体水平不高,省际间差异十分明显,但是呈现显著的趋同现象;Malmquist分析表明,各地区全要素生态效率TFP值都大于1,且年均增长率为7.2%,技术进步对工业生态效率增长有较大推动作用;工业生态效率同研发强度、利用外资、工业结构等因素具有正相关关系等。最后,就提高工业生态效率提出了相应的政策建议。This paper constructs the eco-efficiency indicator system of input and output,and then it measures industrial ecoefficiency of relevant provinces from 2003 and 2013 by Super-efficiency DEA method. And then,it does dynamic and comparative analysis of industrial eco-efficiency by Malmquist index and identifies its main factors by Tobit model. Results show that,firstly,the overall level of industrial eco-efficiency in East China is not high,there exists individual differences between provinces,but shows a significant convergence phenomenon. Secondly,Malmquist analysis showed that the area of eco-efficiency TFP total factor value is greater than 1,and the average annual growth rate is 7. 2%,industrial eco-efficiency and technological progress have a greater role in promoting growth. Thirdly,there is a positive correlation relationship among industrial eco-efficiency with the R＆D intensity,foreign investment,industrial structure and other factors. In the end,it puts forward some suggestions to improve the industrial eco-efficiency.

关 键 词：超效率DEA MALMQUIST指数 工业生态效率 华东地区 

分 类 号：F124.5[经济管理—世界经济] F127