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The sustainability of China's major mining cities

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  • Yu, Jing
  • Zhang, Zhongjun
  • Zhou, Yifan

Abstract

The aim of this paper is to identify principal factors controlling the Degree of Sustainable Development of Mineral Resources (DSDMR) of mining cities and then to measure their DSDMR and reveal their developing trends. To do this, 78 Chinese mining cities are used as an example. These cities are classified on a hierarchical level of the DSDMR in order to support decision-making of sustainable development. Six principal factors controlling the DSDMR are recognized using factor analysis. They are used to measure the DSDMR of the Chinese mining cities and their developing trends. The results show that in terms of the type of mineral resources, the DSDMR decreases from petroleum to multi-resources to non-metal to coal to metal cities. It decreases also from middle to old to young aged cities and from eastern to central to western cities in geographical location. In addition, large and very large cities have higher DSDMR values than middle- and small-sized cities. These Chinese mining cities are classified into six clusters by cluster analysis, which forms the basis for policy making.

Suggested Citation

  • Yu, Jing & Zhang, Zhongjun & Zhou, Yifan, 2008. "The sustainability of China's major mining cities," Resources Policy, Elsevier, vol. 33(1), pages 12-22, March.
  • Handle: RePEc:eee:jrpoli:v:33:y:2008:i:1:p:12-22
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    References listed on IDEAS

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    Cited by:

    1. Li, Bo & Dewan, Hasnat, 2017. "Efficiency differences among China's resource-based cities and their determinants," Resources Policy, Elsevier, vol. 51(C), pages 31-38.
    2. Chen, Rong-Hui & Lin, Yuanhsu & Tseng, Ming-Lang, 2015. "Multicriteria analysis of sustainable development indicators in the construction minerals industry in China," Resources Policy, Elsevier, vol. 46(P1), pages 123-133.
    3. Zeng, Lijun & Wang, Bingcheng & Fan, Liu & Wu, Jianguo, 2016. "Analyzing sustainability of Chinese mining cities using an association rule mining approach," Resources Policy, Elsevier, vol. 49(C), pages 394-404.
    4. Wang, Delu & Ma, Gang & Song, Xuefeng & Liu, Yun, 2017. "Energy price slump and policy response in the coal-chemical industry district: A case study of Ordos with a system dynamics model," Energy Policy, Elsevier, vol. 104(C), pages 325-339.
    5. Li, Huijuan & Long, Ruyin & Chen, Hong, 2013. "Economic transition policies in Chinese resource-based cities: An overview of government efforts," Energy Policy, Elsevier, vol. 55(C), pages 251-260.

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