地理研究 ›› 2007, Vol. 26 ›› Issue (3): 590-598.doi: 10.11821/yj2007030020

• 城市与乡村 • 上一篇    下一篇

京津冀都市圈经济增长收敛机制的空间分析

马国霞1,2, 徐 勇3, 田玉军4   

  1. 1. 中国科学院研究生院,北京 100049;
    2. 中国科学院数据技术与知识经济研究中心,北京 100080;
    3. 中国科学院地理科学与资源研究所,北京 100101;
    4. 石河子大学师范学院地理系,石河子 832000
  • 收稿日期:2006-06-18 修回日期:2007-01-23 出版日期:2007-05-25 发布日期:2007-05-25
  • 作者简介:马国霞(1978-),女,回族,宁夏同心县人,博士后。主要从事区域经济和城市发展方面的研究。
  • 基金资助:

    国家自然科学基金资助项目 (40671054 );中国科学院地理科学与资源研究所知识创新项目 (CXIOG-B05-03)

Spatial analysis of economic growth convergence mechanism in Beijing-Tianjin-Hebei Metropolitan Region

MA Guo-xia1,2, XU Yong3, TIAN Yu-jun4   

  1. 1. Graduate School of the Chinese Academy of Sciences,Beijing 100049,China;
    2. Research Center on Data Technologly and Knowledge Economy, CAS, Beijing 100080, China;
    3. Institute of Geographic Sciences and Natural Resources Research,CAS,Beijing 100101,China;
    4. Department of Geography,Teachers College,Shihezi University,Xinjiang Shihezi 832003,China
  • Received:2006-06-18 Revised:2007-01-23 Online:2007-05-25 Published:2007-05-25
  • Supported by:

    国家自然科学基金资助项目 (40671054 );中国科学院地理科学与资源研究所知识创新项目 (CXIOG-B05-03)

摘要: 区域经济增长收敛机制研究是近年来区域经济学者关注的热点问题之一。本文采用探索性空间数据分析方法,利用空间自相关模型,从新的视角探讨了京津冀都市圈经济增长的空间依赖关系;基于空间计量经济学方法,通过对传统收敛模型加入空间项构建了空间滞后模型和空间误差模型,进而对京津冀都市圈的区域经济收敛机制进行了实证分析。研究结果表明:京津冀都市圈在1992~2003年经济增长存在收敛趋势,但由于强集聚效应,收敛率较低,内部差异仍很显著。

关键词: 京津冀都市圈, 收敛, 空间效应, 空间模型

Abstract: The question of regional convergence is of great interest to regional scientists,but the majority of empirical studies of regional convergence in literature have been focused on the traditional convergence methods in which the geographic entities are treated as "isolated islands" and have not explicitly considered the regional spatial dependence. In this paper, methods of exploratory spatial data analysis and spatial autocorrelation model provide new insights to explore spatial dependence relation of Beijing-Tianjin-Hebei Metropolitan Region over the 1992~2003 period. Furthermore, using spatial econometrics, income convergence was computed by using three different models, which are spatial lag model, spatial error model and traditional convergence model. Some results are drawn as follows: (1) Spatial dependence plays an important role in analyzing regional income convergence. The application of exploratory spatial data analysis methods revealed strong evidence for spatial dependence of regional economic growth and improved traditional convergence model. (2) The specification of traditional convergence model is misspecification due to ignoring spatial dependence. Spatial lag model and spatial error model,which take spatial lagged dependent variables and spatial lagged error terms into account based on traditional convergence model, optimize the structure of model, and give helpful hints of the meaning of convergent economy-policy. (3) A spatial analysis of Moran scatter plot of GDP per capita indicates that economic growth is also highly spatial dependence in Beijing-Tianjin-Hebei Metropolitan Region between 1992 and 2003, namely, a high income county with high income neighbors and a low income county surrounded by low income neighbors. (4) Beijing-Tianjin-Hebei Metropolitan Region converges to a specific steady-state in GDP per capita from 1992 to 2003.At the same time,Beijing-Tianjin-Hebei Metropolitan Region is the phase of polarization and economic disparity is big,the rate of convergence is small.

Key words: Beijing-Tianjin-Hebei Metropolitan Region, convergence, spatial effect, spatial model