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A new statistical dynamic analysis of ecological niches for China’s financial centres

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  • Du, Huibin
  • Xia, Qiongqiong
  • Ma, Xuan
  • Chai, Lihe

Abstract

This study, undertaken from the perspective of statistical dynamics, proposes the treatment of financial centres as an ecosystem, creates a multidimensional financial centre niche (FC-niche) under given generalised entropy and constraints, and interprets the evolutionary process of an FC-niche with dynamic equations obtained from the maximum generalised entropy principle (MGEP). To solve these dynamic equations, a self-organised feature map (SOM) is designed. Finally, the values and evolutionary rules of FC-niches in China’s 29 major cities are simulated as a case study.

Suggested Citation

  • Du, Huibin & Xia, Qiongqiong & Ma, Xuan & Chai, Lihe, 2014. "A new statistical dynamic analysis of ecological niches for China’s financial centres," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 395(C), pages 476-486.
    • Handle: RePEc:eee:phsmap:v:395:y:2014:i:c:p:476-486
    DOI: 10.1016/j.physa.2013.10.045
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    References listed on IDEAS

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    2. Zhao, Jingjing & Chai, Lihe, 2015. "A novel approach for urbanization level evaluation based on information entropy principle: A case of Beijing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 430(C), pages 114-125.
    3. Wang, Chao & Zhang, Xinyi & Vilela, André L.M. & Liu, Chao & Stanley, H. Eugene, 2019. "Industrial structure upgrading and the impact of the capital market from 1998 to 2015: A spatial econometric analysis in Chinese regions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 513(C), pages 189-201.

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