资源与产业 ›› 2017, Vol. 19 ›› Issue (5): 1-8.DOI: 10.13776/j.cnki.resourcesindustries.20171106.005

• 资源型城市可持续发展 •    下一篇

资源型城市产业结构升级与就业的动态关系研究:基于52个地级市资源型城市面板VAR模型

 魏小芳,赵连荣李莉.   

  1.  (中国地质大学 人文经管学院, 北京 100083)

  • 收稿日期:2017-07-28 修回日期:2017-09-08 出版日期:2017-10-20 发布日期:2017-11-30
  • 通讯作者: 李莉 (E-mail: 1181523073@qq.com)
  • 基金资助:
     无

 INTERACTION BETWEEN INDUSTRIAL STRUCTURE UPGRADE AND EMPLOYMENT IN RESOURCES-BASED CITIES BASED ON PANEL VAR MODEL IN 52 RESOURCES-BASED CITIES

 Wei Xiaofang, Zhao Lianrong, Li Li.   

  1.  (School of Humanities and Economic Management, China University of Geosciences, Beijing 100083, China)

  • Received:2017-07-28 Revised:2017-09-08 Online:2017-10-20 Published:2017-11-30
  • Supported by:
     

摘要:

以2000—2015年全国52个地级市资源型城市的面板数据为依据,分析其产业结构偏离度,并建立VAR模型,对产业结构升级系数与就业的面板平稳性检验、协整性检验、格兰杰因果关系、脉冲响应分析和方差分解分析。结果表明:成长型、成熟型、衰退型和再生型资源型城市产业结构偏离程度情况各异,其中,产业结构协调性最优为衰退型城市,其他依次是成熟型城市、再生型城市,成长型城市,同时,资源型城市的协调性不及全国。另外,不同类型的资源型城市产业结构升级程度与就业具有不同的动态关系。模型结果显示,所有资源型城市的产业结构升级对就业没有显著的贡献,而就业状况的改善会影响产业结构升级程度。

 

关键词:  , 资源型城市;产业结构升级;VAR模型;就业

Abstract:  This paper uses their panel data of China's 52 resources-based cities in 20002015 to analyze their industrial structure deviation degree and establishes VAR model, which is used to study stability test, co-integration test, Graner causality, impulse response and variance decomposition panel data between industrial structure upgrade coefficient and employment. Results show that their industrial structure deviation degrees vary among developing, mature, declining and renewing resources-based cities, of which the best coordinated resources-based city is declining city, followed by mature, renewing and developing cities. The coordination of resources-based cities falls behind the average. A dynamic relation between structural upgrade and employment varies with different types of resources-based cities. VAR mode result shows that industrial structure upgrades of all resources-based cities make little contribution to employment, but employment improvement will influence industrial structure upgrade.

Key words:  font-size: 10.5pt">resourcesfont-size: 10.5pt" face="宋体">-based cities, industrial structure upgrade, VAR mode, employment

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