IDEAS home Printed from https://ideas.repec.org/a/pal/palcom/v11y2024i1d10.1057_s41599-024-04017-x.html
   My bibliography  Save this article

A comparative study of urban ecological resilience in the Yangtze River Economic Belt and the Yellow River Basin

Author

Listed:
  • Zhe Wang

    (Shanghai University of Finance and Economics)

  • Wenfei Liu

    (Xiamen University)

Abstract

s This study constructs a indicators system of urban ecological resilience based on “resistance-adaptation-recovery”, and measures the level of cities within the Yangtze River Economic Belt and the Yellow River Basin from 2006 to 2021. Utilizing the Dagum Gini coefficient, traditional and spatial kernel density methods, and geographical detector, the study comprehensively analyzes the spatiotemporal evolution and causes of urban ecological resilience in these regions across multiple dimensions. Furthermore, it explores different paths for enhancing resilience of the two regions. The results indicate: (1) The urban ecological resilience level of the Yangtze River Economic Belt is significantly lower than that of the Yellow River Basin, yet it exhibits a faster growth rate. Both regions show a distribution characterized by “higher in the east, lower in the west”. (2) The overall internal differences between the two regions show a downward trend. The Yangtze River Economic Belt exhibited more pronounced spatial imbalances compared to the Yellow River Basin; however, since 2011, this trend has reversed. (3) The overall resilience in both regions is improving, and the absolute gap is gradually narrowing, showing a significant trend towards polarization in terms of evolutionary features. Cities with lower resilience levels demonstrate increased upward mobility, while cities with higher levels exhibit low mobility or even a decline. (4) Differences in restoration and adaptative capabilities are the principal intrinsic factors affecting the resilience differences between the two regions, whereas variations in economic development and capital efficiency serve as important extrinsic factors determining their spatiotemporal evolution differences. (5) Increasing investment in green technologies, promoting industrial low-carbon transformations, encouraging social green investments, and strengthening green technological innovations are crucial strategies for enhancing urban ecological resilience in both regions. Meanwhile, optimizing open channels significantly improves the urban ecological resilience in the Yellow River Basin.

Suggested Citation

  • Zhe Wang & Wenfei Liu, 2024. "A comparative study of urban ecological resilience in the Yangtze River Economic Belt and the Yellow River Basin," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-15, December.
    • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-04017-x
    DOI: 10.1057/s41599-024-04017-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41599-024-04017-x
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/s41599-024-04017-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lili Yang & Ning Ma, 2022. "Empirical Study on the Influence of Urban Environmental Industrial Structure Optimization on Ecological Landscape Greening Construction," IJERPH, MDPI, vol. 19(24), pages 1-16, December.
    2. Naqvi, Asjad & Stockhammer, Engelbert, 2018. "Directed Technological Change in a Post-Keynesian Ecological Macromodel," Ecological Economics, Elsevier, vol. 154(C), pages 168-188.
    3. Luo, Kang & Liu, Yaobin & Chen, Pei-Fen & Zeng, Mingli, 2022. "Assessing the impact of digital economy on green development efficiency in the Yangtze River Economic Belt," Energy Economics, Elsevier, vol. 112(C).
    4. Xavier Sala-i-Martin, 2006. "The World Distribution of Income: Falling Poverty and … Convergence, Period," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(2), pages 351-397.
    5. Pierre-Alexandre Balland & David Rigby, 2017. "The Geography of Complex Knowledge," Economic Geography, Taylor & Francis Journals, vol. 93(1), pages 1-23, January.
    6. Cheng, Manli & Wang, Junbo & Yang, Shanlin & Li, Qiang, 2024. "The driving effect of technological innovation on green development: From the perspective of efficiency," Energy Policy, Elsevier, vol. 188(C).
    7. Yongchi Ma & Yong Jiang, 2023. "Ecosystem-based adaptation to address urbanization and climate change challenges: the case of China’s sponge city initiative," Climate Policy, Taylor & Francis Journals, vol. 23(2), pages 268-284, February.
    8. Xin Xu & Meimei Wang & Mingfeng Wang & Yongchun Yang & Yuliang Wang, 2022. "The Coupling Coordination Degree of Economic, Social and Ecological Resilience of Urban Agglomerations in China," IJERPH, MDPI, vol. 20(1), pages 1-19, December.
    9. McPhearson, Timon & Andersson, Erik & Elmqvist, Thomas & Frantzeskaki, Niki, 2015. "Resilience of and through urban ecosystem services," Ecosystem Services, Elsevier, vol. 12(C), pages 152-156.
    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. Balland, Pierre-Alexandre & Boschma, Ron, 2022. "Do scientific capabilities in specific domains matter for technological diversification in European regions?," Research Policy, Elsevier, vol. 51(10).
    2. Remme, Roy P. & Meacham, Megan & Pellowe, Kara E. & Andersson, Erik & Guerry, Anne D. & Janke, Benjamin & Liu, Lingling & Lonsdorf, Eric & Li, Meng & Mao, Yuanyuan & Nootenboom, Christopher & Wu, Tong, 2024. "Aligning nature-based solutions with ecosystem services in the urban century," Ecosystem Services, Elsevier, vol. 66(C).
    3. Lamperti, Francesco & Bosetti, Valentina & Roventini, Andrea & Tavoni, Massimo & Treibich, Tania, 2021. "Three green financial policies to address climate risks," Journal of Financial Stability, Elsevier, vol. 54(C).
    4. Renata Giedych & Gabriela Maksymiuk & Agata Cieszewska, 2024. "Eco-Spatial Indices as an Effective Tool for Climate Change Adaptation in Residential Neighbourhoods—Comparative Study," Land, MDPI, vol. 13(9), pages 1-18, September.
    5. Ravallion, Martin, 2019. "Global inequality when unequal countries create unequal people," European Economic Review, Elsevier, vol. 111(C), pages 85-97.
    6. Andrés Rodríguez-Pose & Riccardo Crescenzi, 2008. "Mountains in a flat world: why proximity still matters for the location of economic activity," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 1(3), pages 371-388.
    7. Dalgaard, Carl-Johan & Erickson, Lennart, 2009. "Reasonable Expectations and the First Millennium Development Goal: How Much Can Aid Achieve?," World Development, Elsevier, vol. 37(7), pages 1170-1181, July.
    8. Simplice Asongu & Ndemaze Asongu, 2018. "The comparative exploration of mobile money services in inclusive development," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 45(1), pages 124-139, January.
    9. Andrew Mountford & Hillel Rapoport, 2006. "The Brain Drain and the World Distribution of Income and Population Growth," DEGIT Conference Papers c011_048, DEGIT, Dynamics, Economic Growth, and International Trade.
    10. Meixler, Marcia S., 2017. "Assessment of Hurricane Sandy damage and resulting loss in ecosystem services in a coastal-urban setting," Ecosystem Services, Elsevier, vol. 24(C), pages 28-46.
    11. Galofré-Vilà, Gregori, 2018. "Growth and maturity: A quantitative systematic review and network analysis in anthropometric history," Economics & Human Biology, Elsevier, vol. 28(C), pages 107-118.
    12. Michal burzynski & Christoph Deuster & Frédéric Docquier, 2018. "The Geography of Talent: Development Implications and Long-Run Prospects," LIDAM Discussion Papers IRES 2018002, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    13. Balland, Pierre-Alexandre & Broekel, Tom & Diodato, Dario & Giuliani, Elisa & Hausmann, Ricardo & O'Clery, Neave & Rigby, David, 2022. "Reprint of The new paradigm of economic complexity," Research Policy, Elsevier, vol. 51(8).
    14. Simplice Asongu & Jacinta Nwachukwu, 2016. "Welfare Spending and Quality of Growth in Developing Countries: A Note on Evidence from Hopefuls, Contenders and Best Performers," Working Papers of the African Governance and Development Institute. 16/028, African Governance and Development Institute..
    15. Dan He & Yahua Tang & Luyan Wang & Muhammad Mohsin, 2023. "Can increasing technological complexity help strengthen regional economic resilience?," Economic Change and Restructuring, Springer, vol. 56(6), pages 4043-4070, December.
    16. Miguel A. Márquez & Elena Lasarte & Marcelo Lufin, 2019. "The Role of Neighborhood in the Analysis of Spatial Economic Inequality," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 245-273, January.
    17. Frantzeskaki, Niki & Buchel, Sophie & Spork, Charlie & Ludwig, Kathrin & Kok, Marcel T.J., 2019. "The Multiple Roles of ICLEI: Intermediating to Innovate Urban Biodiversity Governance," Ecological Economics, Elsevier, vol. 164(C), pages 1-1.
    18. Frédéric DOCQUIER & Joël MACHADO, 2015. "Remittance and Migration Prospects for the Twenty-First Century," Working Papers P133, FERDI.
    19. Sy-Hoa Ho & Rim Oueghlissi & Riadh El Ferktaji, 2024. "Testing for Causality Between Economic Growth and Environmental, Social, and Governance Performance: New Evidence from a Global Sample," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 7769-7787, June.
    20. Ghosh, Abhik & Gangopadhyay, Kausik & Basu, B., 2011. "Consumer expenditure distribution in India, 1983–2007: Evidence of a long Pareto tail," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(1), pages 83-97.

    More about this item

    Statistics

    Access and download statistics

    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:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-04017-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: https://www.nature.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.