IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i4p537-d1377577.html
   My bibliography  Save this article

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

Author

Listed:
  • 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 1-20, April.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:4:p:537-:d:1377577
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/4/537/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/13/4/537/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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).
    2. Elgin, Ceyhun & Oztunali, Oguz, 2014. "Pollution and informal economy," Economic Systems, Elsevier, vol. 38(3), pages 333-349.
    3. 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.
    4. Shlomo Angel, 2017. "Urban Forms and Future Cities: A Commentary," Urban Planning, Cogitatio Press, vol. 2(1), pages 1-5.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hui Li & Haitao Jing & Geding Yan & Huanchao Guo & Wenfei Luan, 2023. "Long-Term Ecological Environment Quality Evaluation and Its Driving Mechanism in Luoyang City," Sustainability, MDPI, vol. 15(15), pages 1-19, August.
    2. Jinhua Shao & Brayan Tillaguango & Rafael Alvarado & Santiago Ochoa-Moreno & Johanna Alvarado-Espejo, 2021. "Environmental Impact of the Shadow Economy, Globalisation, Trade and Market Size: Evidence Using Linear and Non-Linear Methods," Sustainability, MDPI, vol. 13(12), pages 1-20, June.
    3. Adhy Satya Pratama & M. Pudjihardjo & Asfi Manzilati & Devanto Shasta Pratomo, 2021. "Testing the Existence of Environmental Kuznets Curve (EKC) Hypothesis in ASEAN 5," Technium Social Sciences Journal, Technium Science, vol. 22(1), pages 362-375, August.
    4. Song, Malin & Du, Juntao & Tan, Kim Hua, 2018. "Impact of fiscal decentralization on green total factor productivity," International Journal of Production Economics, Elsevier, vol. 205(C), pages 359-367.
    5. Nikos Angelos Salingaros, 2021. "Spontaneous Cities: Lessons to Improve Planning for Housing," Land, MDPI, vol. 10(5), pages 1-15, May.
    6. Juan David Alonso-Sanabria & Luis Fernando Melo-Velandia & Daniel Parra-Amado, 2023. "Connecting the Dots: Renewable Energy, Economic Growth, Reforestation, and Greenhouse Gas Emissions in Colombia," Borradores de Economia 1252, Banco de la Republica de Colombia.
    7. Wen, Huwei & Li, Nuoyan & Lee, Chien-Chiang, 2021. "Energy intensity of manufacturing enterprises under competitive pressure from the informal sector: Evidence from developing and emerging countries," Energy Economics, Elsevier, vol. 104(C).
    8. Xi Chen & Zhigang Chen, 2021. "Can China’s Environmental Regulations Effectively Reduce Pollution Emissions?," IJERPH, MDPI, vol. 18(9), pages 1-17, April.
    9. Feige, Edgar L., 2015. "Reflections on the meaning and measurement of Unobserved Economies: What do we really know about the “Shadow Economy”?," MPRA Paper 68466, University Library of Munich, Germany.
    10. Juan David Alonso-Sanabria & Luis Fernando Melo-Velandia & Daniel Parra-Amado, 2023. "Unveiling the critical role of forest areas amidst climate change: The Latin American case," Borradores de Economia 1254, Banco de la Republica de Colombia.
    11. Burgi,Constantin Rudolf Salomo & Hovhannisyan,Shoghik & Joshi,Santosh Ram & Ahmad Famm Alkhuzam, 2022. "Informal Emissions," Policy Research Working Paper Series 10158, The World Bank.
    12. Wilmer Martínez-Rivera & Eliana R. González-Molano & Edgar Caicedo-García, 2023. "Forecasting Inflation from Disaggregated Data: The Colombian case," Borradores de Economia 1251, Banco de la Republica de Colombia.
    13. Basbay, Mustafa Metin & Elgin, Ceyhun & Torul, Orhan, 2016. "Energy consumption and the size of the informal economy," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 10, pages 1-28.
    14. Shi Wang & Yizhou Yuan & Hua Wang, 2019. "Corruption, Hidden Economy and Environmental Pollution: A Spatial Econometric Analysis Based on China’s Provincial Panel Data," IJERPH, MDPI, vol. 16(16), pages 1-23, August.
    15. Ceyhun Elgin & Adem Y. Elveren & Gökçer Özgür & Gül Dertli, 2022. "Military spending and sustainable development," Review of Development Economics, Wiley Blackwell, vol. 26(3), pages 1466-1490, August.
    16. Zhimin Zhou, 2019. "The Underground Economy and Carbon Dioxide (CO 2 ) Emissions in China," Sustainability, MDPI, vol. 11(10), pages 1-20, May.
    17. Sultana, Nahid & Rahman, Mohammad Mafizur & Murad, S.M. Woahid, 2024. "Asymmetric role of the informal sector on economic growth: Empirical investigation on a developing country," Structural Change and Economic Dynamics, Elsevier, vol. 69(C), pages 96-107.
    18. Nguyen, Canh Phuc, 2022. "Does economic complexity matter for the shadow economy?," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 210-227.
    19. NAVICKAS Mykolas & TIUTIUNYK Inna & VASYLIEVA Tetyana & SEDMÍKOVÁ Eliška, 2021. "Energy Consumption in Assessment of Shadow Economy," European Journal of Interdisciplinary Studies, Bucharest Economic Academy, issue 02, June.
    20. Canh, Nguyen Phuc & Schinckus, Christophe & Thanh, Su Dinh & Chong, Felicia Hui Ling, 2021. "The determinants of the energy consumption: A shadow economy-based perspective," Energy, Elsevier, vol. 225(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:13:y:2024:i:4:p:537-:d:1377577. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.