地理科学进展 ›› 2014, Vol. 33 ›› Issue (5): 657-666.doi: 10.11820/dlkxjz.2014.05.007

• 城市与区域发展 • 上一篇    下一篇

基于地理探测器的国家级经济技术开发区经济增长率空间分异及影响因素

丁悦1,2, 蔡建明1, 任周鹏1,2, 杨振山1   

  1. 1. 中国科学院地理科学与资源研究所, 北京100101;
    2. 中国科学院大学, 北京100049
  • 收稿日期:2014-02-01 修回日期:2014-04-01 出版日期:2014-05-25 发布日期:2014-05-25
  • 通讯作者: 蔡建明(1961-),男,山西运城人,研究员,博士生导师,主要从事城市地理、城市和区域可持续发展方面研究,E-mail:caijm@igsnrr.ac.cn。 E-mail:caijm@igsnrr.ac.cn
  • 作者简介:丁悦(1987-),女,青海西宁人,博士研究生,主要研究方向为区域和城市可持续发展,E-mail:dingy.12b@igsnrr.ac.cn。
  • 基金资助:
    国家自然科学基金项目(41371008)。

Spatial disparities of economic growth rate of China’s National-level ETDZs and their determinants based on geographical detector analysis

DING Yue1,2, CAI Jianming1, REN Zhoupeng1,2, YANG Zhengshan1   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2014-02-01 Revised:2014-04-01 Online:2014-05-25 Published:2014-05-25

摘要: 建设国家级经济技术开发区(经开区)是中国扩大对外开放和促进区域发展的重要政策。历经30年多发展,国家级经开区已遍布全国,其个体间的发展差异也由于不同的动力机制而日趋显著。认识和探讨国家级经开区经济增长率的空间分异及其核心影响因素,对因地制宜制定发展策略、引导开发区高效发展具有重要意义。运用变异系数和地理探测器方法,分析2010年国家级经开区经济增长率的空间分异,并探测了其核心影响因素。结果表明:① 总体上,国家级经开区经济增长率在东中西三大区差异显著,呈现出高低高的U型格局;② 个体上,国家级经开区经济增长率在三大区内部存在不同分异特征,其中西部分异度最大、东部次之、中部最小;③ 探测因子决定力显示,主导三大地区国家级经开区经济增长率的核心要素明显不同;在所选出的5大核心影响因素中,中西东三大区呈现出由开发区内在因子主导向城市和区域性外在因子主导的转变趋势;④ 国家级经开区经济增长率及核心影响因素在三大区间的分异特征,一定程度上反映了开发区生命周期阶段性的演变规律。由此建议:近期内,中西部国家级经开区仍应聚焦于改进其自身发展要素;而从长远看,城市性和区域性的外部因子对经开区的影响将变得日益重要,亦即是经开区的未来发展将越来越依赖于与其所在城市和区域的有效融合。

关键词: 变异系数, 地理探测器, 国家级经济技术开发区, 经济增长率, 空间差异, 中国

Abstract: Construction of National-level Economic and Technological Development Zones (NETDZs) is one of the most effective governmental policy measures in implementing the nation's regional development strategy and promoting economic development in China. In over 30 years with the widespread establishment of NETDZs in all areas of China, their spatial disparities have increasingly expanded due to various driving mechanism. Understanding and exploring these spatial disparities by Economic Growth Rate (EGR) and their key determinants behind will have a significant importance to understanding the development patterns of ETDZs, making locallytailored strategies and identifying highly efficient development approaches. This paper therefore uses the coefficient of variation and the geographical detector tool to analyze systematically the spatial disparities of NETDZs in China by their EGR in 2010. The result shows that: (1) Overall, EGR of NETDZs in China shows a large difference between eastern, central and western parts of the country with a U-shaped curve, that is, lowest growth rate in central China; (2) Within each region, the spatial disparity of EGR of NETDZs has different characteristics- such disparity is highest in western China followed by eastern China, and is lowest in central China; (3) The national scale factor detection shows that decision forces of the potential determinants vary only slightly. However, significant difference is detected in the analysis for individual regions, which means that the key determinants for the spatial disparities of EGR in NETDZs in the three regions are quite different; (4) Among the 5 key determinants, internal determinants from inside the NETDZs are more dominated in central China and western China while external determinants from host city and regional context are more dominated in eastern China: changes in labor cost, the volume of foreign trade, preferential policy in NETDZs, spatial accessibility of the host city, and industrial support from the host city are the top 5 determinants in the central area of China. Preferential policy change, industrial support from the host city, change in the volume of foreign trade, relative economies scale of NETDZ, and investment level of host city are the top 5 determinants in the western part of China. For NETDZs in eastern China, the top 5 determinants are changes in preferential policy and labor cost, the level of total investment, economic development, and economic growth rate of the host city. (5) The pattern of spatial disparities of EGRs and determinants in NETDZs in three regions in China reflects, to a certain extent, the evolution stage in the life circle of ETDZs development. Based on this, we recommend that in the near future, the development of NETDZs in central China and western China should focus on improving their internal factors such as lowering labor cost, increasing volume of foreign trade and applying more effective preferential policies, while in the long run, external factors, such as spatial accessibility of the host city and industrial support from the host city, will become increasingly important to NETDZ development, meaning that the development of NETDZs will be eventually more dependent on how well they can be integrated into the host city and to a large extent, the urban region.

Key words: China, coefficient of variation, economic growth rate, geographical detector, NETDZs, spatial disparity

中图分类号: 

  • K902