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Relational pattern of urbanization and economic development: Parameter re-evaluation of the Chenery model
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  • 作者:Mingxing Chen ; Zhipeng Tang ; Yongping Bai
  • 关键词:Chenery model ; economic development ; parameter re ; evaluation ; urbanization
  • 刊名:Journal of Geographical Sciences
  • 出版年:2015
  • 出版时间:August 2015
  • 年:2015
  • 卷:25
  • 期:8
  • 页码:991-1002
  • 全文大小:588 KB
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  • 作者单位:Mingxing Chen (1)
    Zhipeng Tang (1)
    Yongping Bai (2)
    Xiaoping Zhang (3)

    1. Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China
    2. College of Geography and Environment Science, Northwest Normal University, Lanzhou, 730000, China
    3. College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, 100049, China
  • 刊物主题:Physical Geography; Nature Conservation; Geographical Information Systems/Cartography; Remote Sensing/Photogrammetry;
  • 出版者:Springer Berlin Heidelberg
  • ISSN:1861-9568
文摘
Research has shown that there has been a significant change in the quantitative relationship between urbanization and economic development over the past 50 years. As a result of this change, the Chenery model is no longer capable of performing a comparative analysis of these parameters. We carried out a regression analysis of the normal form of the relation between urbanization and economic development on the basis of the Chenery model. We used empirical data from 149 countries and regions from 1990 to 2009 and adopted the double logarithmic model, introducing a time series variable for urbanization. From 1990 to 2009, with a per capita gross national income remaining between USD 1000 and 10,000, the urbanization rate changed from 17.78 to 60.36% and the relational matching data changed accordingly, although the upper limit of the rate of urbanization remained at about 75%. Urbanization in countries with a smaller population size was more affected by economic development than urbanization in countries with large and medium sized populations.

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