IDEAS home Printed from https://ideas.repec.org/a/taf/rpxmxx/v23y2021i12p1878-1899.html
   My bibliography  Save this article

Collaborative networks and environmental governance performance: a social influence model

Author

Listed:
  • Chen Huang
  • Wenna Chen
  • Hongtao Yi

Abstract

This study aims to answer the following research question: how do collaborative networks affect the performance of individual policy actors embedded in the network? We examine this question with a unique dataset on water governance in Dongguan city, China. We hypothesize that collaborative network affects the environmental performance of policy actors through a social influence mechanism, and that the performance of an ego actor will emulate that of alters in the network. We test this hypothesis by estimating network/spatial autoregressive models, and the results confirm the presence of a social influence effect.

Suggested Citation

  • Chen Huang & Wenna Chen & Hongtao Yi, 2021. "Collaborative networks and environmental governance performance: a social influence model," Public Management Review, Taylor & Francis Journals, vol. 23(12), pages 1878-1899, December.
    • Handle: RePEc:taf:rpxmxx:v:23:y:2021:i:12:p:1878-1899
    DOI: 10.1080/14719037.2020.1795229
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/14719037.2020.1795229
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/14719037.2020.1795229?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. Yihang Zhao & Jing Xiong & De Hu, 2023. "Reputation, Network, and Performance: Exploring the Diffusion Mechanism of Local Governments’ Behavior during Inter-Governmental Environmental Cooperation," Land, MDPI, vol. 12(7), pages 1-17, July.
    2. Qi Wang & Mengdi Liu & Jintao Xu & Bing Zhang, 2023. "Blow the Lid Off: Public Complaints, Bargaining Power, and Government Responsiveness on Social Media," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 85(1), pages 133-166, May.
    3. Jinliao He & Yuan Zhang & Zhenzhen Yi, 2023. "Towards resilient neighbourhood governance: social tensions in Shanghai’s gated communities before and during the pandemic," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.

    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:rpxmxx:v:23:y:2021:i:12:p:1878-1899. 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/rpxm .

    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.