IDEAS home Printed from https://ideas.repec.org/a/taf/regstd/v51y2017i5p674-687.html
   My bibliography  Save this article

Social capital and interlocal service collaboration in US counties

Author

Listed:
  • Sehee Han

Abstract

Social capital and interlocal service collaboration in US counties. Regional Studies. Local governments are increasingly faced with public policy problems that span across their individual jurisdictional boundaries. Interlocal service collaboration has been suggested as a preferable alternative to address these issues. This study examines the association between collective social capital, especially focusing on Putnam-type organizations and interlocal service collaboration, by investigating the interlocal revenues at the county level for the fiscal year 2002 in the United States. An instrumental variables estimator to address a potential endogeneity problem of social capital was adopted. The results show that social capital is positively associated with interlocal service collaboration. Further analysis revealed that 15.8% of counties’ variation in interlocal service collaboration was attributed to the state level.

Suggested Citation

  • Sehee Han, 2017. "Social capital and interlocal service collaboration in US counties," Regional Studies, Taylor & Francis Journals, vol. 51(5), pages 674-687, May.
  • Handle: RePEc:taf:regstd:v:51:y:2017:i:5:p:674-687
    DOI: 10.1080/00343404.2015.1132302
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00343404.2015.1132302
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00343404.2015.1132302?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. Arkangel M. Cordero & Alexander C. Lewis, 2024. "How Does Regional Social Capital Structure the Relationship Between Entrepreneurship, Ethnic Diversity, and Residential Segregation?," Entrepreneurship Theory and Practice, , vol. 48(3), pages 788-825, May.
    2. Kaijian Li & Ruopeng Huang & Guiwen Liu & Asheem Shrestha & Xinyue Fu, 2022. "Social Capital in Neighbourhood Renewal: A Holistic and State of the Art Literature Review," Land, MDPI, vol. 11(8), pages 1-27, July.

    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:51:y:2017:i:5:p:674-687. 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.