地理科学 ›› 2018, Vol. 38 ›› Issue (10): 1634-1642.doi: 10.13249/j.cnki.sgs.2018.10.007

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基于城、市视角的城市化水平与经济增长关系

王雪辉1,2(), 谷国锋2()   

  1. 1.上海对外经贸大学会展与旅游学院, 上海 201620
    2.东北师范大学地理科学学院, 吉林 长春 130024
  • 收稿日期:2017-09-19 修回日期:2017-11-02 出版日期:2018-12-12 发布日期:2018-12-12
  • 作者简介:

    作者简介:王雪辉(1989-),女,黑龙江延寿人,博士,讲师,主要从事区域经济学研究。E-mail:wangxuehui002@163.com

  • 基金资助:
    国家社会科学基金一般项目(16BJL032)资助

The Relationship Between Urbanization Level and Economic Growth Based on the Perspective of City and Market

Xuehui Wang1,2(), Guofeng Gu2()   

  1. 1.Tourism and Event Management School, Shanghai University of International Business and Economics, Shanghai 201620,China
    2.School of Geography Sciences, Northeast Normal University, Changchun 130024,Jilin, China
  • Received:2017-09-19 Revised:2017-11-02 Online:2018-12-12 Published:2018-12-12
  • Supported by:
    National Social Science Foundation of China (16BJL032)

摘要:

基于城、市的视角,揭示2005~2014年中国285个地级市城市化水平及类型的时空演化规律,并基于非参数估计方法探究不同城市化类型与经济增长的函数关系。研究发现:中国城化水平空间分布呈离散状态,市化水平空间分布呈“核心-外围”结构。中国大多数城市属于同步发展型,该类型城市较非同步型城市更稳定。不同城市化类型与经济增长的函数关系也不相同,因此应有针对性地采取差异化政策。

关键词: 城市化, 城化, 市化, 经济增长, 马尔可夫链, 非参数估计

Abstract:

This article analyzes the level and types of urbanization of Chinese 285 prefecture-level cities from 2005 to 2014 based on the perspective of city and market, and reveals the spatiotemporal regulation of the evolution of urbanization level in China. The paper explored the relationship between different types of urbanization and economic growth based on the function of non parameter estimation method. The results show that: 1) The spatial distribution of city level in China is discrete, and the spatial distribution of market level shows the “core periphery” structure. According to the equilibrium and synchronization level of city and market, the study unit could be divided into five categories, which are city precedes market, market precedes city, low-level synchronization, medium-level synchronization, high-level synchronization. And we found that most cities of our country belong to the high-level synchronization type. 2) This article reveals the characteristics of urbanization type evolution through constructing a transtion-probablity matrix Markov chain. The first characteristic is that the cities belong to synchronous type shows more stability than that belongs to non-synchronous type. The second characteristic is that the transfer of urbanization type has stages. 3) Firstly, the economic growth rate of low-level synchronous city has cubic function relationships with city and market level. Secondly, the economic growth rate of media-level and high-level synchronous city has quadratic function relationships with its city and market level. Thirdly, the economic growth rate of non-synchronous city has cubic function relationships with city and market level. Therefore, different types of cities should adopt differentiated policies when raising their economic level.

Key words: urbanization, city, market, economic growth, Markov chain, nonparametric estimation

中图分类号: 

  • F290