商业研究

• 商经理论 •    下一篇

中国全要素生产率的产业异质性、区域差异及空间布局优化

朱学红1,2,曾旖1,2,丰超1,2   

  1. (中南大学 1.商学院;2.金属资源战略研究院,长沙 410083)
  • 收稿日期:2016-01-19 出版日期:2016-05-10
  • 作者简介:朱学红(1962-),女,长沙人,中南大学商学院教授,博士生导师,中南大学金属资源战略研究院高级研究员,研究方向:企业理论、产业经济学;曾旖(1993-),女,湖南衡阳人,中南大学商学院硕士研究生,研究方向:产业经济学;丰超(1989-),男,湖南湘西人,中南大学商学院博士研究生,研究方向:产业经济学。
  • 基金资助:
    国家社会科学基金项目“金属矿产资源国际市场价格操纵问题与我国定价权研究”,项目编号:13&ZD169;国家自然科学基金项目“基于多重均衡与动态CGE模型的金属矿产开发补偿机制设计及政策模拟研究”,项目编号:71573282。

Industry Heterogeneity, Regional Disparity and Space Pattern Optimization of Total Factor Productivity in China

ZHU Xue-hong1,2,ZENG Yi1,2,FENG Chao1,2   

  1. (1. Business School, Central South University, Changsha 410083, China; 2. Metal Resource Strategic Research Institute, Central South University, Changsha 410083, China)
  • Received:2016-01-19 Online:2016-05-10

摘要: 在我国产业结构转型升级的背景下,本文引入“环境技术”框架,结合方向距离函数和三层级生产前沿函数对我国全要素生产率(TFP)进行解构,并将其置于全国、区域和省级三个层面进行分析。实证结果表明:我国全要素生产率处于较低水平,结构无效率、技术无效率和管理无效率是其共同成因;不同产业之间的全要素生产率及无效率成因呈现出明显的产业异质性,不同地区之间的生产情况则存在显著的技术差异。各地应结合自身实际情况和全要素生产无效率成因,从产业结构调整、技术提升、管理优化等方面入手对其产业空间布局进行优化。

关键词: 全要素生产率, 共同前沿DEA, 产业异质性, 区域差异

Abstract: Under the background of transformation and upgrading of industrial structure, this paper takes environmental factor into consideration, and decomposes total factor productivity (TFP) in three levels: national level, regional level and provincial level. The model based on directional distance function and three-level production frontier function is constructed to measure the TFP in China. The results show that, the TFP in mainland China is relatively low, while structure inefficiency, technical inefficiency and manage inefficiency are the common causes. Besides, those causes appear obviously heterogeneous in different industries, while the production status also shows a distinct characteristic of spatial difference. Combining with the practical situation of the provinces and the inefficiency causes, the paper provides space pattern optimization advice from three aspects: industrial restructuring, technical promotion and management optimization.

Key words: total factor productivity, common frontier DEA, industry heterogeneity, regional disparity