北京航空航天大学学报(社会科学版) ›› 2014, Vol. 27 ›› Issue (5): 93-97.DOI: 10.13766/j.bhsk.1008-2204.2013.0531

• 经济与管理 • 上一篇    下一篇

中国东部国家级经济开发区引领效应评价研究

李兴国   

  1. 燕山大学 发展战略研究中心, 河北 秦皇岛 066004
  • 收稿日期:2013-11-22 出版日期:2014-09-25 发布日期:2014-09-22
  • 作者简介:李兴国(1981- ),男,河北邢台人,助理研究员,博士研究生,研究方向为区域经济、公共管理及应用.
  • 基金资助:

    2014年河北省社会科学基金资助项目(HB14GL011);2013年河北省软科学研究项目(134576141D)

Evaluation on Leading Effect of National Economic and Technological Development Zones in Eastern Region of China

Li Xingguo   

  1. Development Strategy Research Center, Yanshan University, Qinhuangdao 066004, China
  • Received:2013-11-22 Online:2014-09-25 Published:2014-09-22

摘要:

在回顾开发区发展历程及开发区评价理论的国内外研究现状的基础上,对中国东部地区66个国家级经济开发区与其所在省(市)主要经济指标进行相关分析,同时就国家级开发区对区域经济引领效应进行因子分析和聚类分析。研究结果显示,国家级开发区对所在区域的经济发展具有显著的引领效应,开发区对区域经济引领效应的大小与开发区规模之间没有必然的相关性,京粤闽鲁4个省(市)国家级开发区引领效应评价得分与东部沿海其他省份相比较低,河北省国家级开发区远没有发挥应有的区域经济引领作用。

关键词: 开发区, 引领效应, 中国东部地区, 因子分析, 聚类分析

Abstract:

Based on the review of the development process of development zones and domestic and foreign research status of development zones evaluation theory, the paper analyzes the correlation of the major economic indexes in the 66 national economic development zones in eastern China and the provinces which they belong to. Factor analysis and cluster analysis are used to study the leading effect of national development zones on regional economic development. The results show that the national development zones have significant leading effect on the development of regional economy. It is also found that there is no significant correlation between the strength of leading effect of development zone to regional economy and the size of it. The leading effect of national development zones in Beijing, Guangdong, Fujian and Shandong Provinces are relatively lower compared with other eastern coastal provinces. The national development zones of Hebei province have not played their due role in driving the development of the regional economy.

Key words: development zone, leading effect, Eastern China, factor analysis, cluster analysis

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