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Overall Urban–Rural Coordination Measures—A Case Study in Sichuan Province, China

Author

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  • Hui Zhu

    (The Economy and Enterprise Development Institute, Sichuan University, Chengdu 610065, China)

  • Fumin Deng

    (The Economy and Enterprise Development Institute, Sichuan University, Chengdu 610065, China)

  • Xuedong Liang

    (The Economy and Enterprise Development Institute, Sichuan University, Chengdu 610065, China)

Abstract

Focusing on urban–rural development issues, this paper analyzes the necessity of coordinated development between the narrowing gap and integral development. An overall urban– rural development dynamic model aimed at two major objectives is pointed out. A principal component analysis (PCA)—Grey Entropy measurement model is proposed to evaluate urban–rural coordination from economic development, social security, public services, and environmental quality perspectives. In this model, principal component analysis (PCA) was used to extract the components that explained overall urban–rural coordination. This model was then combined with Grey Entropy to measure the level of urban–rural development coordination. By establishing a scientific measurement model, the coordination value of the rural and urban areas was effectively calculated from a comprehensive perspective, including subsystems and static and dynamic coordination values. Finally, the model was applied to Sichuan Province as an example to show its effectiveness in measuring urban–rural coordination.

Suggested Citation

  • Hui Zhu & Fumin Deng & Xuedong Liang, 2017. "Overall Urban–Rural Coordination Measures—A Case Study in Sichuan Province, China," Sustainability, MDPI, vol. 9(2), pages 1-20, January.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:2:p:189-:d:88965
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    References listed on IDEAS

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    4. Berdegué, Julio A. & Carriazo, Fernando & Jara, Benjamín & Modrego, Félix & Soloaga, Isidro, 2015. "Cities, Territories, and Inclusive Growth: Unraveling Urban–Rural Linkages in Chile, Colombia, and Mexico," World Development, Elsevier, vol. 73(C), pages 56-71.
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    Cited by:

    1. Xuefeng Hou & Dianfeng Zhang & Liyuan Fu & Fu Zeng & Qing Wang, 2023. "Spatio-Temporal Evolution and Influencing Factors of Coupling Coordination Degree between Urban–Rural Integration and Digital Economy," Sustainability, MDPI, vol. 15(12), pages 1-26, June.
    2. Min Wang & Xianli Zhao & Qunxi Gong & Zhigeng Ji, 2019. "Measurement of Regional Green Economy Sustainable Development Ability Based on Entropy Weight-Topsis-Coupling Coordination Degree—A Case Study in Shandong Province, China," Sustainability, MDPI, vol. 11(1), pages 1-18, January.

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