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How to Coordinate the Relationship between Urban Space Exploitation, Economic Development, and Ecological Environment: Evidence from Henan Province, China

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  • Xiaotong Xie

    (College of Resources and Environment, Henan Agricultural University, Zhengzhou 450002, China)

  • Kunlin Wu

    (Second Institute of Resources and Environment Investigation of Henan Province, Luoyang 471023, China)

  • Yingchao Li

    (College of Resources and Environment, Henan Agricultural University, Zhengzhou 450002, China)

  • Shanshan Guo

    (College of Resources and Environment, Henan Agricultural University, Zhengzhou 450002, China)

  • Xiaoshun Li

    (Research Center for Transition Development and Rural Revitalization of Resource-Based Cities in China, China University of Mining and Technology, Xuzhou 221116, China
    School of Public Policy and Management, China University of Mining and Technology, Xuzhou 221116, China)

Abstract

With the rapid development of urbanization, China is facing problems, such as uncoordinated regional development, imbalanced land space development, and ecological environment pollution. This poses a huge threat to the sustainable development of China’s economy and society. Therefore, there is an urgent need to determine how to coordinate the relationship between the space exploitation, economic development, and ecological environment (SEE) of urban areas. In this study, taking the Henan Province as an example, long time-series data (2000–2020) were used, at a city scale. Then, we developed a logical framework to reveal the interrelationship and intrinsic mechanism between SEE. Next, we explored the spatiotemporal coupling characteristics of SEE using a linear weighting method and a coupling coordination analysis. We found that, from 2000 to 2020, the comprehensive level of SEE showed an obvious trend of change, and different cities have different coupling coordination degrees. However, the overall coupling coordination level is steadily developing and tending to improve. Furthermore, with the spatial autocorrelation method, we analyzed spatial correlation patterns and collaboration/trade-off relationships for SEE. Through the analysis, positive correlation types (HH, LL) cluster significantly and negative correlation types (HL, LH) have low clustering. Meanwhile, we found significant spatial differences in cooperation/trade-off relationships between different years. This research can serve as a reference and as methodological guidance for achieving coordination and sustainable development of the economy, space, and environment.

Suggested Citation

  • Xiaotong Xie & Kunlin Wu & Yingchao Li & Shanshan Guo & Xiaoshun Li, 2024. "How to Coordinate the Relationship between Urban Space Exploitation, Economic Development, and Ecological Environment: Evidence from Henan Province, China," Land, MDPI, vol. 13(4), pages 1-21, April.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:4:p:537-:d:1377577
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    References listed on IDEAS

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    1. Elgin, Ceyhun & Oztunali, Oguz, 2014. "Pollution and informal economy," Economic Systems, Elsevier, vol. 38(3), pages 333-349.
    2. Shlomo Angel, 2017. "Urban Forms and Future Cities: A Commentary," Urban Planning, Cogitatio Press, vol. 2(1), pages 1-5.
    3. LAWSON, Laté A. & MARTINO, Roberto & NGUYEN-VAN, Phu, 2020. "Environmental convergence and environmental Kuznets curve: A unified empirical framework," Ecological Modelling, Elsevier, vol. 437(C).
    4. Chaoran Gao & Jinxin Wang & Manman Wang & Yan Zhang, 2023. "Simulating Urban Agglomeration Expansion in Henan Province, China: An Analysis of Driving Mechanisms Using the FLUS Model with Considerations for Urban Interactions and Ecological Constraints," Land, MDPI, vol. 12(6), pages 1-23, June.
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