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Spatial-temporal evolution of coupling coordination development between circular economy and tourism in the eastern regions of China

Author

Listed:
  • Yang, Wenjing
  • Tao, Lu
  • Li, Qingquan
  • Li, Feiyue
  • Du, Shiqi
  • Zhang, Yue
  • Gao, Chao
  • Fang, Xiaomeng
  • Zhang, Ziyang
  • Huang, Jingang
  • Xu, Xiaobin
  • Hou, Pingzhi
  • Tang, Junhong
  • Han, Wei

Abstract

In this study, the comprehensive development index systems of circular economy (CDISCE) and tourism (CDIST) were constructed to measure the level of circular economy and tourism development in the eastern regions of China. The coupling coordination degree model (CCDM) was applied to evaluate the level of coupling coordinated development of CDISCE and CDIST. It was found that the overall development trend of circular economy and tourism in the eastern regions of China was positive. The CCDM described that the interaction between circular economy and tourism was constantly strengthening. Moreover, the modified gravity model was used to calculate the spatial connection strength of coupling coordination degree between circular economy and tourism. The highest spatial connection strength was observed in Beijing and Tianjin due to the policy support and resource concentration in the related regions. Finally, the grey model (GM) was used to predict the coupling coordination degree of the CDISCE and CDIST from 2024 to 2029 with the “good” class of accuracy. The evaluation system and analysis methods established in this study were expected to provide a basic reference for promoting the coupling coordination development between the circular economy and tourism as well as to realize regional sustainable development.

Suggested Citation

  • Yang, Wenjing & Tao, Lu & Li, Qingquan & Li, Feiyue & Du, Shiqi & Zhang, Yue & Gao, Chao & Fang, Xiaomeng & Zhang, Ziyang & Huang, Jingang & Xu, Xiaobin & Hou, Pingzhi & Tang, Junhong & Han, Wei, 2025. "Spatial-temporal evolution of coupling coordination development between circular economy and tourism in the eastern regions of China," Socio-Economic Planning Sciences, Elsevier, vol. 101(C).
    • Handle: RePEc:eee:soceps:v:101:y:2025:i:c:s0038012125001326
    DOI: 10.1016/j.seps.2025.102283
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    References listed on IDEAS

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