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Heterogeneity of correlation between the locational condition and industrial transformation of regenerative resource‐based cities in China

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  • Ziyan Zheng
  • Fangdao Qiu
  • Xinlin Zhang

Abstract

Based on the measurement of the locational condition from a spatiotemporal perspective, the entropy weight TOPSIS, a grey relational analysis model, and other methods are adopted to analyze the correlative heterogeneity characteristics of industrial restructuring, path locking, and path innovation of regenerative resource‐based cities in China from 2005 to 2016. In this paper, we conclude that locational conditions were closely related to industrial transformation. And specifically, the locational condition of study cities was the most closely related to path innovation, followed by the advanced index of industrial structuring, and the weakest correlation with the speed of industrial restructuring. For non‐remote cities, due to the proximity of provincial capitals and regional central cities, the path innovation was the fastest, and the correlation with the advanced index was the closest. For remote cities, the advanced index showed a downward trend. However, the correlation between the locational condition and the advanced index or path innovation were both high. For extremely remote cities, the speed and advanced index of industrial restructuring were most disadvantaged. Furthermore, the path locking was the strongest, and the path innovation was the weakest. It had the strongest correlation with path innovation. Overall, the heterogeneity of the correlation between geographic location and industrial transformation is significant.

Suggested Citation

  • Ziyan Zheng & Fangdao Qiu & Xinlin Zhang, 2020. "Heterogeneity of correlation between the locational condition and industrial transformation of regenerative resource‐based cities in China," Growth and Change, Wiley Blackwell, vol. 51(2), pages 771-791, June.
    • Handle: RePEc:bla:growch:v:51:y:2020:i:2:p:771-791
    DOI: 10.1111/grow.12365
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    2. Yaoning Yang & Juncheng Zeng & Junfeng Yin & Pengrui Wu & Genyu Xu & Chuanbao Jing & Jie Zhou & Xun Wen & Johannes Reinders & Wasita Amatyakul & Sebastian Orozco Munoz & Tao Chen, 2024. "Metro Stations as Catalysts for Land Use Patterns: Evidence from Wuhan Line 11," Sustainability, MDPI, vol. 16(15), pages 1-23, July.
    3. Runqun Yu & Zhuoyang Luo, 2023. "Research on the Influence Mechanism of Factor Misallocation on the Transformation Efficiency of Resource-Based Cities Based on the Optimization Direction Function Calculation Method," Sustainability, MDPI, vol. 15(12), pages 1-22, June.

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