地理科学 ›› 2020, Vol. 40 ›› Issue (2): 182-189.doi: 10.13249/j.cnki.sgs.2020.02.003

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中国省级要素市场扭曲程度的时空格局及影响因素

孙湘湘, 周小亮()   

  1. 福州大学经济与管理学院, 福建 福州 350116
  • 收稿日期:2019-04-18 修回日期:2019-06-13 出版日期:2020-02-10 发布日期:2020-04-09
  • 通讯作者: 周小亮 E-mail:xlzfzu@163.com
  • 作者简介:孙湘湘(1990-),女,福建宁德人,博士研究生,主要从事产业经济研究。E-mail: lookxiang@126.com
  • 基金资助:
    国家社会科学基金项目资助(16AZD002)

Spatial-temporal Pattern and Influencing Factors of Factor Market Distortion in China

Sun Xiangxiang, Zhou Xiaoliang()   

  1. School of Economics & Management, Fuzhou University, Fuzhou 350116, Fujian, China
  • Received:2019-04-18 Revised:2019-06-13 Online:2020-02-10 Published:2020-04-09
  • Contact: Zhou Xiaoliang E-mail:xlzfzu@163.com
  • Supported by:
    National Social Science Foundation of China(16AZD002)

摘要:

基于超越对数函数对2000~2015年中国30个省份要素市场扭曲程度进行测算,分析要素市场扭曲的空间格局和演化进程,并利用空间计量模型分析影响要素市场扭曲的因素。研究表明: 中国要素市场存在扭曲现象且总体呈现缓解趋势。从区域分布看,高要素市场扭曲程度的地区集中在西部地区,中等要素市场扭曲在中部地区,而低要素市场扭曲程度分布在东部地区及东北地区。中国要素市场扭曲有显著的空间自相关性,Moran指数呈现波动减小趋势,要素市场扭曲邻近地区的集聚效果有所减弱。 对影响要素市场扭曲的因素分析发现,城镇化、财政分权、外商直接投资和基础设施建设改善要素市场扭曲;国有经济占比加剧要素市场扭曲。

关键词: 要素市场扭曲, 时空格局, 影响因素, 超越对数函数, 空间计量模型

Abstract:

Compared with the product market, the distortion of factor market is serious. The factor market distortion is calculated in 30 provinces of China by using the transcendental logarithmic function during the period of 2000-2015. This study further analyzes the spatial-temporal characteristics and influencing factors of factor market distortion based on the spatial econometric model. The results indicate that: 1) There are serious distortion in China's factor market from 2001 to 2015, and the factor market distortion has been greatly improved in recent decades. From the geographical distribution point of view, the areas with high factor market distortion are concentrated in the western region, the areas with medium factor market distortions are in the central region, and the areas with low factor market distortions are distributed in the eastern region and the northeastern region. China's factor market distortion shows the characteristics of regional agglomeration. 2) The factor market distortion has significant spatial autocorrelation, that is, the factor market distortion in a region is significantly affected by adjacent regions. Specifically, the Moran Index shows a trend of decreasing volatility. With the acceleration of market-oriented reform, the agglomeration effect of adjacent areas with factor market distortion is weakened. 3) The analysis of influencing factors affecting the factor market distortion based on Spatial Durbin Model shows that urbanization, fiscal decentralization, foreign direct investment and infrastructure have improved factor market distortion, while and the development of state-owned economy have negative impact on factor market distortion. The results of this study provide important theoretical support for deepening the reform of factor market and improving the efficiency of factor resource allocation.

Key words: factor market distortion, spatial-temporal pattern, influencing factors, transcendental logarithmic production function, spatial econometric model

中图分类号: 

  • K901.2