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Urban Spatial Structure and Water Ecological Footprint: Empirical Analysis of the Urban Agglomerations in China

Author

Listed:
  • Yuxi Liu

    (School of Business, Hunan University of Science and Technology, Xiangtan 411201, China
    These authors contributed equally to this work.)

  • Rizhao Gong

    (School of Business, Hunan University of Science and Technology, Xiangtan 411201, China
    These authors contributed equally to this work.)

  • Wenzhong Ye

    (School of Business, Hunan University of Science and Technology, Xiangtan 411201, China)

  • Changsheng Jin

    (College of Environmental Science and Engineering, Hunan University, Key Laboratory of Environmental Biology and Pollution, Control Ministry of Education, Changsha 410082, China)

  • Jianxin Tang

    (School of Business, Hunan University of Science and Technology, Xiangtan 411201, China)

Abstract

Focusing on the water conservation of China’s urban agglomerations (UAs), panel data covering 92 cities in the top five agglomerations from 2006 to 2020 are used to study the relationship between the spatial structure of UAs and the water ecological footprint (WEF) of their cities. WEFs and spatial structures are measured by the ecological footprint models and the rank-size law, respectively. Furthermore, the effects of spatial structure on WEF are estimated through the fixed-effects (FE) model with instrumental variables (IVs). Results suggest that the concentricity of the spatial structure has a nonlinear impact on the WEF, in that as the spatial structure moves away from polycentricity, the WEF first declines and then rises. By reducing the WEF through concentrated development, cities with a large proportion of production WEF or a large population can enjoy more benefits. Therefore, promoting the balanced development of JJJ and PRD and enhancing the role of the growth pole in CY and YRMR can help the water conservation of most cities. Moreover, considering household water use and small-population cities in other water-saving policies can serve as a policy reference in the future.

Suggested Citation

  • Yuxi Liu & Rizhao Gong & Wenzhong Ye & Changsheng Jin & Jianxin Tang, 2022. "Urban Spatial Structure and Water Ecological Footprint: Empirical Analysis of the Urban Agglomerations in China," Sustainability, MDPI, vol. 14(21), pages 1-14, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:13960-:d:954837
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    References listed on IDEAS

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    1. Changsheng Jin & Yuxi Liu & Zhongwu Li & Rizhao Gong & Mei Huang & Jiajun Wen, 2022. "Ecological consequences of China’s regional development strategy: evidence from water ecological footprint in Yangtze River Economic Belt," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(12), pages 13732-13747, December.
    2. Siqi Yan & Jian Wang, 2022. "Does Polycentric Development Improve Green Utilization Efficiency of Urban Land? An Empirical Study Based on Panel Threshold Model Approach," Land, MDPI, vol. 11(1), pages 1-17, January.
    3. Marian Chertow & Weslynne Ashton & Juan Espinosa, 2008. "Industrial Symbiosis in Puerto Rico: Environmentally Related Agglomeration Economies," Regional Studies, Taylor & Francis Journals, vol. 42(10), pages 1299-1312.
    4. Xu, Hengzhou & Jiao, Man, 2021. "City size, industrial structure and urbanization quality—A case study of the Yangtze River Delta urban agglomeration in China," Land Use Policy, Elsevier, vol. 111(C).
    5. Bottasso, Anna & Conti, Maurizio, 2009. "Scale economies, technology and technical change in the water industry: Evidence from the English water only sector," Regional Science and Urban Economics, Elsevier, vol. 39(2), pages 138-147, March.
    6. Edward L. Glaeser & Matthew G. Resseger, 2010. "The Complementarity Between Cities And Skills," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 221-244, February.
    7. Fujita,Masahisa & Thisse,Jacques-François, 2013. "Economics of Agglomeration," Cambridge Books, Cambridge University Press, number 9781107001411.
    8. Kai Zhu & Manya Tu & Yingcheng Li, 2022. "Did Polycentric and Compact Structure Reduce Carbon Emissions? A Spatial Panel Data Analysis of 286 Chinese Cities from 2002 to 2019," Land, MDPI, vol. 11(2), pages 1-15, January.
    9. Shahbaz, Muhammad & Chaudhary, A.R. & Ozturk, Ilhan, 2017. "Does urbanization cause increasing energy demand in Pakistan? Empirical evidence from STIRPAT model," Energy, Elsevier, vol. 122(C), pages 83-93.
    10. Castells-Quintana, David, 2017. "Malthus living in a slum: Urban concentration, infrastructure and economic growth," Journal of Urban Economics, Elsevier, vol. 98(C), pages 158-173.
    11. Baltagi, Badi H. & Liu, Long, 2008. "Testing for random effects and spatial lag dependence in panel data models," Statistics & Probability Letters, Elsevier, vol. 78(18), pages 3304-3306, December.
    12. Chen, Xu & Chen, Xueli & Song, Malin, 2021. "Polycentric agglomeration, market integration and green economic efficiency," Structural Change and Economic Dynamics, Elsevier, vol. 59(C), pages 185-197.
    13. Wu, Rong & Wang, Jieyu & Wang, Shaojian & Feng, Kuishuang, 2021. "The drivers of declining CO2 emissions trends in developed nations using an extended STIRPAT model: A historical and prospective analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    14. Jie Shen & Chunlai Chen & Mengyu Yang & Keyun Zhang, 2019. "City Size, Population Concentration and Productivity: Evidence from China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 27(1), pages 110-131, January.
    15. Stegarescu, Dan & Schwager, Robert & Büttner, Thiess, 2004. "Agglomeration, Population Size, and the Cost of Providing Public Services: An Empirical Analysis for German States," ZEW Discussion Papers 04-18, ZEW - Leibniz Centre for European Economic Research.
    16. Euijune Kim & Hyun Lee, 1998. "Spatial Integration Of Urban Water Services And Economies Of Scale," Review of Urban & Regional Development Studies, Wiley Blackwell, vol. 10(1), pages 3-18, March.
    17. Baltagi, Badi H. & Song, Seuck Heun & Kwon, Jae Hyeok, 2009. "Testing for heteroskedasticity and spatial correlation in a random effects panel data model," Computational Statistics & Data Analysis, Elsevier, vol. 53(8), pages 2897-2922, June.
    18. J. Paul Elhorst, 2003. "Specification and Estimation of Spatial Panel Data Models," International Regional Science Review, , vol. 26(3), pages 244-268, July.
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