IDEAS home Printed from https://ideas.repec.org/a/taf/regstd/v56y2022i11p1888-1902.html
   My bibliography  Save this article

Polycentric spatial structure and its economic performance: evidence from meta-analysis

Author

Listed:
  • Wan Li
  • Bindong Sun
  • Tinglin Zhang
  • Zhifan Zhang

Abstract

Although there seems to be a widely shared expectation that polycentricity increases economic competitiveness, the empirical findings are inconsistent. As the first meta-analysis, this paper examines whether emerging empirical evidence provides an insight into the polycentricity–productivity effect. Based on 139 estimates, we find no compelling evidence to support that polycentricity is either beneficial or detrimental for economic development. Further meta-logit regressions show that the measurement of polycentricity and the control of agglomeration economies indeed affect the polycentricity–productivity effect. In contrast, measuring polycentricity from different perspectives and the potential endogeneity do not appear to significantly influence this effect.

Suggested Citation

  • Wan Li & Bindong Sun & Tinglin Zhang & Zhifan Zhang, 2022. "Polycentric spatial structure and its economic performance: evidence from meta-analysis," Regional Studies, Taylor & Francis Journals, vol. 56(11), pages 1888-1902, November.
    • Handle: RePEc:taf:regstd:v:56:y:2022:i:11:p:1888-1902
    DOI: 10.1080/00343404.2021.2012142
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00343404.2021.2012142
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00343404.2021.2012142?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Di Zhu & Yinghong Wang & Shangui Peng & Fenglin Zhang, 2022. "Influence Mechanism of Polycentric Spatial Structure on Urban Land Use Efficiency: A Moderated Mediation Model," IJERPH, MDPI, vol. 19(24), pages 1-18, December.
    2. D. Kh. Krasnoselskaya & V. M. Timiryanova, 2024. "Assessment of Regional Polycentricity of the Settlement Pattern: Analysis of Modern Methods Based on Russian Data," Regional Research of Russia, Springer, vol. 14(2), pages 194-212, June.
    3. Yongwang Cao & Xiong He & Chunshan Zhou, 2023. "Characteristics and Influencing Factors of Population Migration under Different Population Agglomeration Patterns—A Case Study of Urban Agglomeration in China," Sustainability, MDPI, vol. 15(8), pages 1-25, April.
    4. Bindong Sun & Tinglin Zhang & Wan Li & Yan Song, 2022. "Effects of Polycentricity on Economic Performance and Its Dependence on City Size: The Case of China," Land, MDPI, vol. 11(9), pages 1-19, September.

    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:taf:regstd:v:56:y:2022:i:11:p:1888-1902. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/CRES20 .

    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.