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Spatial-Temporal Coupling Coordination Relationship between Urban Green Infrastructure Construction and Economic Development in China

Author

Listed:
  • Weiwei Wang

    (School of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, China)

  • Yanping Wen

    (School of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, China)

  • Wanxu Chen

    (School of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, China)

  • Yiran Qu

    (School of Geography and Information Engineering, China University of Geosciences, Wuhan 430078, China)

Abstract

Urban green infrastructure construction and economic growth are necessary ways and important supports to promote sustainable development. Exploring their coupling coordination relationship is important for achieving high-quality economic development. This study uses the entropy method, coupling coordination degree, kernel density estimation, the Dagum Gini coefficient, and spatial autocorrelation to explore the spatial-temporal pattern characteristics and coupling coordination relationship between green infrastructure construction and economic development for 273 cities in Chinese mainland in 2010–2020. The results show that the level of China’s green infrastructure construction and economic development gradually increased during 2010–2020. There were significant regional differences in space, exhibiting a decreasing spatial pattern from east to west. The coupling coordination degree was constantly improving. The overall Gini coefficient shows an upward trend. Among the four regions, eastern China has the greatest intraregional variation. The uneven level of coupled coordination is mainly from interregional variation. There was a significant positive spatial autocorrelation relationship, and cities that had a higher degree of coupling coordination tended to agglomeration development. Meanwhile, it also had certain spatial heterogeneity. China’s entire level of coupling coordination degree still has much room for improvement. The study is of great significance in reducing disparities between regions and strengthening regional spatial coordination development.

Suggested Citation

  • Weiwei Wang & Yanping Wen & Wanxu Chen & Yiran Qu, 2024. "Spatial-Temporal Coupling Coordination Relationship between Urban Green Infrastructure Construction and Economic Development in China," Land, MDPI, vol. 13(7), pages 1-23, July.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:7:p:1095-:d:1439041
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    References listed on IDEAS

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    1. Feng Zhang & Xintian Wang & Xiaojie Liu, 2022. "Research on Functional Value Estimation and Development Mode of Green Infrastructure Based on Multi-Dimensional Evaluation Model: A Case Study of China," Land, MDPI, vol. 11(9), pages 1-17, September.
    2. Shulei Cheng & Yu Yu & Wei Fan & Chunxia Zhu, 2022. "Spatio-Temporal Variation and Decomposition Analysis of Livelihood Resilience of Rural Residents in China," IJERPH, MDPI, vol. 19(17), pages 1-25, August.
    3. Galina Morozova & Irina Debelaia, 2018. "Green Infrastructure as a Factor for Sustainable Development of Khabarovsk," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(2), pages 562-574.
    4. Liberalesso, Tiago & Oliveira Cruz, Carlos & Matos Silva, Cristina & Manso, Maria, 2020. "Green infrastructure and public policies: An international review of green roofs and green walls incentives," Land Use Policy, Elsevier, vol. 96(C).
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