中国省际要素投入结构绩效评价研究——基于超效率DEA模型和Malmquist指数法  

A Study of Performance Appraisal on Provincial Factor Input Structure in China——Based on SE-DEA Model and Malmquist Productivity Index

作　　者：张珍花[1] 曾志康 ZHANG Zhen-hua;ZENG Zhi-kang(School of Finance and Economics,Jiangsu University,Zhenjiang 212000,China)

机构地区：[1]江苏大学财经学院,江苏镇江212000

出　　处：《华东经济管理》2018年第4期55-61,共7页East China Economic Management

基　　金：国家自然科学基金项目(71673120);教育部人文社会科学基金项目(16YJA630035)

摘　　要：文章基于"十二五"规划期间中国31个省区市的面板数据,首先采用超效率DEA模型对各省市生产效率进行测算,其次利用Malmquist指数法对各省市综合生产率指数进行计算及分解,最后通过Tobit模型对中国生产效率进行环境影响因素分析。研究结果表明:从静态分析结果来看,2011-2015年中国生产效率逐步提升,各省市要素投入结构缺乏合理性,且存在区域差异;从动态分析结果来看,技术落后是导致中国各省市综合生产率普遍下降的主要原因;从影响因素分析结果来看,交通便利程度对提升生产效率具有显著的推动作用,受教育程度、市场开放程度和居民收入水平对提升生产效率均具有显著的制约作用。Based on the panel data of 31 provincial-level administrative areas in China during the 12th Five-Year Plan,this study,firstly applies the SE-DEA model to calculate the productivity of each provincial-level area,then calculates and decomposes its comprehensive productivity by using the Malmquist productivity index,and finally analyzes the environmental influential factors of China's productivity through the Tobit model.The study shows that:From the results of static analysis,China s productivity has been gradually improved from 2011 to 2015,and the input structure of each provincial-level area is not reasonable,and there are regional differences;From the results of dynamic analysis,the technical backwardness is the main cause of the general decline in the comprehensive productivity of China's provincial-level areas.From the results of influential factors analysis,the degree of transport facilities has a significant positive role in promoting productivity,whereas the education level,the market openness and the residents'income level play a significant negative role in improving productivity.

关 键 词：生产效率 超效率DEA模型 Malmquist生产指数法 TOBIT模型 

分 类 号：F061.5[经济管理—政治经济学] F222.33