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Dynamics of Multi-Scale Intra-Provincial Regional Inequality in Zhejiang, China

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  • Wenze Yue

    (Department of Land Management, Zhejiang University, Hangzhou 310029, China
    Key Laboratory of Carrying Capacity Assessment for Resource and Environment, Ministry of Land and Resources, Beijing 101149, China)

  • Yuntang Zhang

    (Department of Land Management, Zhejiang University, Hangzhou 310029, China)

  • Xinyue Ye

    (Center for Yellow River Civilization and Sustainable Development, Henan University, Kaifeng 475001, China
    Department of Geography, Kent State University, Kent, OH 44242, USA)

  • Yeqing Cheng

    (College of Geography and Tourism, Hainan Normal University, Haikou 571158, China)

  • Mark R. Leipnik

    (Department of Geography & Geology, Sam Houston State University, Huntsville, TX 77340, USA)

Abstract

This paper investigates regional inequality in a multi-scale framework, using Exploratory Spatial Data Analysis, based on the per capita Gross Domestic Product (GDP) of counties and municipalities within the Zhejiang province in China between the years of 1990 and 2010. A Spatial Markov Chain is used to identify the dynamics of regional wealth disparity in Zhejiang. The results show that the regional inequality of Zhejiang is sensitive to the geographic scale of the analysis. In addition, the inter-county inequality shows an inverted-U shape pattern. At the same time, the inter-municipality inequality displays a more consistently upward trend, and the evolution of the interregional inequality is relatively stable over time. The regional inequality is more significant at finer (larger) spatial scales. The decomposition of the Theil Index shows that the contribution of the inequalities between Northeast Zhejiang and Southwest Zhejiang increased. The increasingly larger values of the Global Moran’s I show that there is an intensifying spatial aggregation of economic development. The comparison of the traditional Markov transition matrix and the Spatial Markov transition matrix illustrates how the relative wealth or poverty of neighboring counties make a significance difference in wealth in a given county as measured using domestic GDP per capita in Zhejiang province. This space-time analysis is valuable for policy making towards sustainable economic development in China given the soaring spatial inequality.

Suggested Citation

  • Wenze Yue & Yuntang Zhang & Xinyue Ye & Yeqing Cheng & Mark R. Leipnik, 2014. "Dynamics of Multi-Scale Intra-Provincial Regional Inequality in Zhejiang, China," Sustainability, MDPI, vol. 6(9), pages 1-22, August.
    • Handle: RePEc:gam:jsusta:v:6:y:2014:i:9:p:5763-5784:d:39784
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    14. Peng Bin, 2016. "Dynamic Development of Regional Disparity in Mainland China: An Experimental Study Based on a Multidimensional Index," Sustainability, MDPI, vol. 8(12), pages 1-28, December.
    15. Kuo Zhang & Jipeng Pei & Shu Wang & Karlis Rokpelnis & Xiao Yu, 2022. "Life Satisfaction in China, 2010–2018: Trends and Unique Determinants," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(4), pages 2311-2348, August.
    16. Wei Sun & Xiaona Lin & Yutian Liang & Lu Li, 2016. "Regional Inequality in Underdeveloped Areas: A Case Study of Guizhou Province in China," Sustainability, MDPI, vol. 8(11), pages 1-18, November.
    17. Mengqiu Lu & Jianquan Cheng & Cheng Jin, 2017. "Assessment of Ecological Assets for Sustainable Regional Development: A Case Study of Deqing County, China," Sustainability, MDPI, vol. 9(6), pages 1-18, June.
    18. Up Lim & Donghyun Kim, 2015. "Toward Sustainable Economic Growth: A Spatial Panel Data Analysis of Regional Income Convergence in US BEA Economic Areas," Sustainability, MDPI, vol. 7(8), pages 1-17, July.

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