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Spatiotemporal evolution pattern and heterogeneity of resource-based city resilience in China

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  • He, Miao
  • Xiao, Wei
  • Zhao, Lingling
  • Xu, Yuanlu

Abstract

Resource-based cities (RBCs) encompass the east, middle, and west of China, covering an important economic hinterland. The improvement of RBC resilience can significantly impact the overall resilience of cities in China. This study analyzes the spatial characteristics and overall evolution trend of four types of RBCs based on regional differences and convergence theory. The results vivid showed sustainable development positively influenced growing-type RBCs also showed that the overall RBC resilience coupling coordination degree improved throughout the study period (2009–2019), and that the evolution of RBC resilience demonstrated good convergence characteristics. Furthermore, a distinct gap is evident between high resilience-level growing RBCs and relatively low-level regenerative RBCs. All RBCs will eventually converge to the third level with a higher level of coupling coordination. However, compared with the traditional Markov chain, the transition probability of the spatial Markov chain is reduced due to the influence of surrounding cities. Thus, policies are given.

Suggested Citation

  • He, Miao & Xiao, Wei & Zhao, Lingling & Xu, Yuanlu, 2024. "Spatiotemporal evolution pattern and heterogeneity of resource-based city resilience in China," Structural Change and Economic Dynamics, Elsevier, vol. 71(C), pages 417-429.
  • Handle: RePEc:eee:streco:v:71:y:2024:i:c:p:417-429
    DOI: 10.1016/j.strueco.2024.08.013
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    1. Mingke Xie & Zhangxian Feng & Chenggu Li, 2022. "How Does Population Shrinkage Affect Economic Resilience? A Case Study of Resource-Based Cities in Northeast China," Sustainability, MDPI, vol. 14(6), pages 1-22, March.
    2. Hongge Zhu & Zhenhuan Chen & Shaopeng Zhang & Wencheng Zhao, 2022. "The Role of Government Innovation Support in the Process of Urban Green Sustainable Development: A Spatial Difference-in-Difference Analysis Based on China’s Innovative City Pilot Policy," IJERPH, MDPI, vol. 19(13), pages 1-19, June.
    3. Ron Martin, 2012. "Regional economic resilience, hysteresis and recessionary shocks," Journal of Economic Geography, Oxford University Press, vol. 12(1), pages 1-32, January.
    4. Coe, David T. & Helpman, Elhanan, 1995. "International R&D spillovers," European Economic Review, Elsevier, vol. 39(5), pages 859-887, May.
    5. Jie Huang & Zimin Sun & Minzhe Du, 2022. "Differences and Drivers of Urban Resilience in Eight Major Urban Agglomerations: Evidence from China," Land, MDPI, vol. 11(9), pages 1-18, September.
    6. Xiao, Huijuan & Wang, Daoping & Qi, Yu & Shao, Shuai & Zhou, Ya & Shan, Yuli, 2021. "The governance-production nexus of eco-efficiency in Chinese resource-based cities: A two-stage network DEA approach," Energy Economics, Elsevier, vol. 101(C).
    7. William A. Brock & Cars H. Hommes, 1997. "A Rational Route to Randomness," Econometrica, Econometric Society, vol. 65(5), pages 1059-1096, September.
    8. Long, Ruyin & Li, Haifeng & Wu, Meifen & Li, Wenbo, 2021. "Dynamic evaluation of the green development level of China's coal-resource-based cities using the TOPSIS method," Resources Policy, Elsevier, vol. 74(C).
    9. William A. Brock & Cars H. Hommes, 2001. "A Rational Route to Randomness," Chapters, in: W. D. Dechert (ed.), Growth Theory, Nonlinear Dynamics and Economic Modelling, chapter 16, pages 402-438, Edward Elgar Publishing.
    10. Xinli Liu & Sijia Li & Xian Xu & Jingshu Luo, 2021. "Integrated natural disasters urban resilience evaluation: the case of China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(3), pages 2105-2122, July.
    11. Hou, Yanliang & Long, Ruyin & Zhang, Linling & Wu, Meifen, 2020. "Dynamic analysis of the sustainable development capability of coal cities," Resources Policy, Elsevier, vol. 66(C).
    12. Juntao Tan & Kevin Lo & Fangdao Qiu & Xinlin Zhang & Hongbo Zhao, 2020. "Regional economic resilience of resource‐based cities and influential factors during economic crises in China," Growth and Change, Wiley Blackwell, vol. 51(1), pages 362-381, March.
    13. Alan P. Kirman, 1992. "Whom or What Does the Representative Individual Represent?," Journal of Economic Perspectives, American Economic Association, vol. 6(2), pages 117-136, Spring.
    14. Juntao Tan & Kevin Lo & Fangdao Qiu & Wenxin Liu & Jing Li & Pingyu Zhang, 2017. "Regional Economic Resilience: Resistance and Recoverability of Resource-Based Cities during Economic Crises in Northeast China," Sustainability, MDPI, vol. 9(12), pages 1-15, November.
    15. Lede Niu & Mei Pan & Liran Xiong, 2020. "Convergence analysis of urban green traffic carbon emission based on grey prediction model," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 42(5/6), pages 285-301.
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