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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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    1. Deng, Ping & Lu, Shiqing & Xiao, Hanbin, 2013. "Evaluation of the relevance measure between ports and regional economy using structural equation modeling," Transport Policy, Elsevier, vol. 27(C), pages 123-133.
    2. Plummer, Ryan & Armitage, Derek, 2007. "A resilience-based framework for evaluating adaptive co-management: Linking ecology, economics and society in a complex world," Ecological Economics, Elsevier, vol. 61(1), pages 62-74, February.
    3. Richard E. Baldwin & Toshihiro Okubo, 2006. "Heterogeneous firms, agglomeration and economic geography: spatial selection and sorting," Journal of Economic Geography, Oxford University Press, vol. 6(3), pages 323-346, June.
    4. Philip Mccann & Stephen Sheppard, 2003. "The Rise, Fall and Rise Again of Industrial Location Theory," Regional Studies, Taylor & Francis Journals, vol. 37(6-7), pages 649-663.
    5. Dariush Khezrimotlagh & Yao Chen, 2018. "Data Envelopment Analysis," International Series in Operations Research & Management Science, in: Decision Making and Performance Evaluation Using Data Envelopment Analysis, chapter 0, pages 217-234, Springer.
    6. Paola Annoni & Laura de Dominicis & Neysan Khabirpour, 2019. "Location matters: A spatial econometric analysis of regional resilience in the European Union," Growth and Change, Wiley Blackwell, vol. 50(3), pages 824-855, September.
    7. Zhu, Xuehong & Chen, Ying & Feng, Chao, 2018. "Green total factor productivity of China's mining and quarrying industry: A global data envelopment analysis," Resources Policy, Elsevier, vol. 57(C), pages 1-9.
    8. Gianni Guastella & Francesco Timpano, 2016. "Knowledge, innovation, agglomeration and regional convergence in the EU: motivating place-based regional intervention," Review of Regional Research: Jahrbuch für Regionalwissenschaft, Springer;Gesellschaft für Regionalforschung (GfR), vol. 36(2), pages 121-143, October.
    9. Laura De Dominicis, 2014. "Inequality and Growth in European Regions: Towards a Place-based Approach," Spatial Economic Analysis, Taylor & Francis Journals, vol. 9(2), pages 120-141, June.
    10. Jing Chen, 2019. "Geographical scale, industrial diversity, and regional economic stability," Growth and Change, Wiley Blackwell, vol. 50(2), pages 609-633, June.
    11. David L. Rigby & Jürgen Essletzbichler, 2006. "Technological variety, technological change and a geography of production techniques," Journal of Economic Geography, Oxford University Press, vol. 6(1), pages 45-70, January.
    12. Ge, Houtian & Goetz, Stephan & Canning, Patrick & Perez, Agnes, 2018. "Optimal locations of fresh produce aggregation facilities in the United States with scale economies," International Journal of Production Economics, Elsevier, vol. 197(C), pages 143-157.
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    2. Mingkai Liu & Changxin Liu & Shouting Zhang & Baoyin Liu & Yi Sun & Xun Ge & Xinyu Wang & Hongyan Zhang, 2021. "Research on Industry Development Path Planning of Resource-Rich Regions in China from the Perspective of “Resources, Assets, Capital”," Sustainability, MDPI, vol. 13(7), pages 1-19, April.

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