基于DEA-Malmquist指数法的省域全要素生产率比较研究

干旱区地理 ›› 2016, Vol. 39 ›› Issue (2): 435-442.

基于DEA-Malmquist指数法的省域全要素生产率比较研究

张煜^1,3, 孙慧^1,2

1 新疆大学经济与管理学院, 新疆乌鲁木齐 830046;
2 新疆大学新疆创新管理研究中心, 新疆乌鲁木齐 830046;
3 新疆维吾尔自治区科技厅, 新疆乌鲁木齐 830011

收稿日期:2015-12-13 修回日期:2016-02-27 出版日期:2016-03-25
通讯作者: 孙慧(1963-), 女, 江苏泗阳人, 教授, 博士研究生导师, 研究方向: 人口资源与环境就可持续发展
作者简介:张煜(1970-), 男, 河南禹州人, 博士, 研究方向: 人口资源与环境就可持续发展. Email: shui@xju.edu.cn
基金资助:
国家自然科学基金“资源型产业碳排放损益偏离分析及区域公平发展研究”(NO.71463056); 新疆维吾尔自治区科技支撑计划项目“科技创新引领丝绸之路经济带发展战略研究”(201442101)的阶段性成果

A comparative study of provincial total factor productivity based on DEA-Malmquist index method

ZHANG Yu^1,3, SUN Hui^1,2

1 School of Economics and Management, Xinjiang University, Urumqi 830046, Xinjiang, China;
2 Center for Innovation Management Research of Xinjiang, Urumqi 830046, Xinjiang, China;
3 Department of Science and Technology of Xinjiang Uygur Autonomous Region, Urumqi 830011, Xinjiang, China

Received:2015-12-13 Revised:2016-02-27 Online:2016-03-25

摘要/Abstract

摘要： 基于DEA的Malmquist 指数方法, 选取2000-2012年的面板数据, 在把劳动力受教育因素定量纳入TFP影响因素的基础上, 测算31个省区市和全国平均全要素生产率及其构成. 根据测算结果, 对31个省区市进行聚类分析, 并对全国和东、中、西部的全要素生产率增长进行收敛分析. 结果显示: 2001-2012年全国全要素生产率的增长率为负值, 技术进步对全要素生产率的贡献总体好于技术效率, 技术效率是制约全要素生产率提升的主要原因; 全国区域全要素生产率变化情况在空间上呈现U形分布的特征, 东、西部全要素生产率增长较好, 中部有明显的凹陷现象, 西部省份间的分化严重; 全国和东、中、西部不存在全要素生产率增长的区域性绝对收敛, 但存在条件收敛, 表明东中西全要素生产率增长有明显差距并不会随时间缩小, 但会趋于稳定, 省域经济发展的非均衡现象将长期存在. 以上研究结果的政策含义是: 提升省域技术效率对全要素生产率更为有效, 应重点改善中部低质增长区域, 东中西应实施差异化发展政策.

关键词: 全要素生产率, Malmquist指数, 技术进步, 聚类分析, 收敛性

Abstract: Based on the DEA-Malmquist index method, panel data from 2000 to 2012 was selected and the stock of human capital as the labor input quantity was measured through the Maddison education method. The Total Factor Productivity(TFP)and its composition were calculated on both provincial and the national level. A systematic clustering analysis was employed to explore characteristics of the total factor productivity growth including the East, Central and West China with the Malmquist productivity index of 31 provinces. The paper used the absolute and relative β convergence analysis of the growth of TFP from the national level, eastern, and western provinces to find the change of the three regional and inter-regional economic growth quality with time. Results indicate that during the period of 2001 to 2012, the average TFP of national, eastern, western regions are 0.983, 1.003, 0.964, 0.976 respectively, and their growth of TFP are negative except the eastern region. The contribution from technical progress is better than technical efficiency. Technical efficiency is the main influencing factor which limits TFP improving. In term of TFP growth, most of the eastern provinces and part of the western provinces belong to the best area, and most of central provinces to the medium or poor area. There are obvious differences among western provinces which have both high level TFP growth provinces and low level ones. Instead of absolute convergence, there is conditional convergence in growth of TFP for whole nation and East, Central and West region, which means TFP from West to East have obvious gap and which will not be narrowing with time, but tend to be stable, and non-equilibrium phenomena of provincial economic development will exist for a long time. The innovation point of this paper is that labor'education effect to TFP is considered, and that the regional TFP's U distribution is found which East and West grow fast and Central shows obvious depression. This is not consistent with traditional view which TFP growth is decreasing from East to West gradually. This paper put some suggestions as follows: (1)to promote provincial technical efficiency is effective to improvement of TFP; (2)more attentions should be paid on the Central region of low quality growth; (3)different development policy should be taken among East, Central, andWest region.

Key words: total factor productivity, Malmquist index, technical progress, cluster analysis, convergence

中图分类号:

F127.4

张煜, 孙慧. 基于DEA-Malmquist指数法的省域全要素生产率比较研究[J]. 干旱区地理, 2016, 39(2): 435-442.

ZHANG Yu, SUN Hui. A comparative study of provincial total factor productivity based on DEA-Malmquist index method[J]. , 2016, 39(2): 435-442.

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