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Selective vs. Collective Outcomes of Collaborative Governance: The Impacts of Federal Stimulus Programs on Local and Regional Governance Outcomes

Author

Listed:
  • Chang-Gyu Kwak

    (Department of Public Administration, Sejong University, Seoul 05006, Korea)

  • Namhoon Ki

    (Department of Political Science, University of Miami, Coral Gables, FL 33124, USA)

  • Suk-Joon Hwang

    (Department of Public Administration, Kongju National University, Gongju 32588, Korea)

Abstract

A number of studies have demonstrated that local government’s self-governing mechanisms can bring about positive collective outcomes for an entire region. However, less attention has been paid to different levels of collective outcomes (e.g., individual local governments vs. entire regions). Comparing such selective and collective outcomes in interlocal collaborations, this study attempts to explore which specific collaborative self-governing mechanisms can better work for which respective outcomes. Applying network approaches with time-series cross-sectional data, this study investigates how each local government’s network position and the network structure as a whole influence the impact of Energy Efficiency and Conservation Block Grants on job creation in terms of the regional green economy. Empirical results demonstrate the need for separating selective and collective outcomes in developing theories of regional governance. Additionally, the results provide practitioners with advice on how to manage interlocal relationships in order to maximize collective outcomes at different levels

Suggested Citation

  • Chang-Gyu Kwak & Namhoon Ki & Suk-Joon Hwang, 2021. "Selective vs. Collective Outcomes of Collaborative Governance: The Impacts of Federal Stimulus Programs on Local and Regional Governance Outcomes," Sustainability, MDPI, vol. 13(21), pages 1-11, October.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:21:p:11941-:d:667150
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    References listed on IDEAS

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    1. Jisun Youm & Richard C. Feiock, 2019. "Interlocal collaboration and local climate protection," Local Government Studies, Taylor & Francis Journals, vol. 45(6), pages 777-802, November.
    2. Dr. Sanya Carley, School of Public and Environmental Affairs, Indiana University & Chang-Gyu Kwak & Richard Feiock & Christopher Hawkins & Youngmi Lee, 2016. "Impacts of Federal Stimulus Funding on Economic Development Policy Networks Among Local Governments," Review of Policy Research, Policy Studies Organization, vol. 33(2), pages 140-159, March.
    3. repec:cup:apsrev:v:55:y:1961:i:04:p:831-842_12 is not listed on IDEAS
    4. Ramiro Berardo & John T. Scholz, 2010. "Self‐Organizing Policy Networks: Risk, Partner Selection, and Cooperation in Estuaries," American Journal of Political Science, John Wiley & Sons, vol. 54(3), pages 632-649, July.
    5. Jessica N. Terman & Richard C. Feiock, 2016. "The Effect of Formal and Informal Contracting Mechanisms on Implementation Performance in the U.S. Federalist System," Local Government Studies, Taylor & Francis Journals, vol. 42(2), pages 309-331, March.
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    Cited by:

    1. Minsun Song & Joungyoon Hwang & Namhoon Ki, 2024. "How perceived risks in interorganizational collaboration shape disaster response strategies," Public Administration & Development, Blackwell Publishing, vol. 44(3), pages 170-184, August.

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