地理学报 ›› 2012, Vol. 67 ›› Issue (8): 1069-1084.doi: 10.11821/xb201208006

• 区域经济发展 • 上一篇    下一篇

中国经济效率和全要素生产率的空间分异及其影响

刘建国1, 李国平2, 张军涛3, 孙铁山2   

  1. 1. 北京联合大学旅游学院, 北京 100101;
    2. 北京大学政府管理学院, 北京 100871;
    3. 东北财经大学公共管理学院, 大连 116025
  • 收稿日期:2011-10-18 修回日期:2012-05-30 出版日期:2012-08-20 发布日期:2012-08-20
  • 通讯作者: 李国平(1961-), 男, 黑龙江拜泉县人, 教授、博士生导师, 北京大学首都发展研究院院长, 中国地理学会会员(S110001566M), 主要研究方向为区域经济与经济地理。E-mail: lgp@pku.edu.cn
  • 基金资助:
    国家自然科学基金项目(41171099, 40901069);国家社科基金重大项目(10ZD&022);北京大学-林肯研究院城市发展与土地政策研究中心研究基金项目(DS20110901)

Spatial Distribution and Its Affecting Factors of Economy Efficiency and Total Factor Productivity in China: 1990-2009

LIU Jianguo1, LI Guoping2, ZHANG Juntao3, SUN Tieshan2   

  1. 1. Tourism Institute, Beijing Union University, Beijing 100101, China;
    2. School of Government, Peking University, Beijing 100871, China;
    3. School of Public Administration, Dongbei University of Finance & Economics, Dalian 116025, Liaoning, China
  • Received:2011-10-18 Revised:2012-05-30 Online:2012-08-20 Published:2012-08-20
  • Supported by:
    National Natural Science Foundation of China, No.41171099,40901069; National Social Science Foundation of China, No. 10zd&022; “Research Fellowship” of Lincoln Institute Center for Urban Development and Land Policy at Peking University, No. DS20110901

摘要: 运用Malmquist 指数模型测度了1990-2009 年中国省域的经济效率和全要素生产率, 并对其影响因素进行了分析。研究发现:在这20 年间, 中国的全要素生产率在全国层面及不同空间尺度的区域层面呈现波动状态, 且全要素生产率平均下降了1.35%。按照东、中、西和东北进行划分, 只有东部地区平均全要素生产率得到改善, 平均上升了2.37%, 上升的原因在于技术进步率显著改善;其余区域的全要素生产率均呈现不同程度的下降, 其中, 中部地区下降最多, 平均下降了4.45%;西部地区和东北地区的全要素生产率的平均增长率分别下降了2.78%和1.84%;原因在于中国技术效率、纯技术效率和规模效率的增长率在大部分年份出现了下降。从全要素生产率的影响因素上看, 经济集聚、人力资本、信息化、基础设施、经济开放度及制度因素对全要素生产率的影响为正;产业结构、政府干预和土地投入对全要素生产率的影响为负;但基础设施水平对全要素生产率的影响在统计学上并不显著。文章讨论了主要结果赋予的政策含义。

关键词: 经济效率, 全要素生产率, 空间格局, 影响因素, 面板广义矩, 中国

Abstract: The paper, using Malmquist index model, estimates China's economy efficiency and TFP (total factor productivity) during 1990-2009 years, and analyzes its affecting factors. The main result shows that China's TFP was fluctuant and fell at an annual rate of 1.35% in the past 20 years. According to the regional division, China can be divided into East, Middle, West, and Northeast regions, among which eastern region's TFP increased with an average of 2.37%, showing a promotion for the significant rise of technological progress efficiency. However, for the rest of China, the total factor productivity shows a decline in varying degrees, and the TFP for Middle, West and Northeast regions decreased by 4.45%, 2.78% and 1.84%, respectively; the TFP decline was due to the decline of technical efficiency, pure technical efficiency and scale efficiency in most years. The paper also finds that economic aggregation, human capital, information, infrastructure, open and institution are positive on total factor productivity, while industry, government intervention and land scale are negative on it. However, infrastructure is not significant in statistics. The key findings of the paper have important policy implications.

Key words: economy efficiency, TFP, spatial distribution, affecting factors, panel data GMM, China