资源与产业 ›› 2017, Vol. 19 ›› Issue (5): 93-99.DOI: 10.13776/j.cnki.resourcesindustries.20171106.006

• 资源经济 • 上一篇    下一篇

中国中部6省城市经济发展空间分异研究

乔杨张怡然马明.   

  1.  (武汉大学 资源与环境科学学院,湖北 武汉 430079
  • 收稿日期:2017-08-25 修回日期:2017-09-26 出版日期:2017-10-20 发布日期:2017-12-01
  • 通讯作者: 乔杨 (E-mail: qy0089@hotmail.com)
  • 基金资助:
     无

 SPATIAL DIFFERENTIATION OF ECONOMIC DEVELOPMENT IN CENTRAL CHINA'S SIX PROVINCES

Qiao Yang, Zhang Yiran, Ma Ming.   

  1.  (School of Resources and Environmental Sciences, Wuhan University, Wuhan 430079, China)

  • Received:2017-08-25 Revised:2017-09-26 Online:2017-10-20 Published:2017-12-01
  • Supported by:
     

摘要:  采用主成分分析、空间自相关分析等方法研究我国中部山西、河南、湖北、湖南、安徽、江西686个地级市2012年经济发展空间分异规律,旨在揭示我国城市经济发展空间分异规律,为相关经济政策的制定提供参考。研究结果显示:1)经济空间发展呈现“多核结构”和“点—轴”发展特征,其中,经济发达地区成为各省的发展“核”,中部6省呈现多“核”并存的现象,在经济发达地区和经济较发达地区之间形成了多条经济发展轴;2)经济空间呈现“六峰两谷”的格局,其中,6个经济实力热点——太原市、郑州市、武汉市、铜陵市、长沙市和南昌市——成为6省经济发展的峰值点,鄂豫皖以及湘鄂西部等远离各省中心城市的省际边缘地带和山区形成经济欠发达的两大谷地;3)总体来看,中部6省各市(州)经济差异现象显著,区域发展不均衡。

 

关键词:  font-size: 10.5pt">经济发展;空间分异;空间自相关;中国中部

Abstract:  This paper uses principal component analysis and spatial autocorrelation analysis to study 86 cities' spatial differentiation rule of economic development in Shanxi, Henan, Hubei, Hunan, Anhui and Jiangxi, the central China, in 2012, aiming at offering references for making related economy policies. Economic spatial development displays multi-core structure and point-axisfeatures, of which the developed provinces act as the cores, so many cores are co-existing in central China's six provinces. A few economy axes are formed between developed provinces and under-developed ones. The economic space shows a pattern of six peak two valley. Six peaks are Taiyuan, Zhengzhou, Wuhan, Tongling, Changsha and Nanchang cities as economic hotspots. Two valleys are marginal zones far from provincial cities in Hubei-Henna-Anhui and under-developed economic zones. In general, these six provinces' economy varies largely, unbalanced in regional development.

Key words:  font-size: 10.5pt">economic development, spatial differentiation, spatial autocorrelation, central China

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