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Network Structures and Performance: Evidence from Post-Project Spinoff Activities of a Collaborative Public Program

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  • Manoj K. Shrestha

Abstract

Studies on networks and performance have largely focused on the direct outcomes of public projects with indifference to spinoff activities that the project recipients pursue after the completion of the projects. This research fills this gap by examining whether certain network characteristics predict the level of post-project spinoff activities, operationalized by the amount of external funds mobilized and the number of spinoff projects pursued. The OLS and Poisson regression methods were applied to the data collected from the field interviews of 62 rural communities in Nepal to determine the relationship between the network characteristics of the communities and their level of spinoff activities. The results suggest that the communities having a wider network with the district level organizations achieved a higher level of spinoff activities whereas the communities that confined themselves to a central organization or to a cohesive group of organizations realized either null or negative effects.

Suggested Citation

  • Manoj K. Shrestha, 2021. "Network Structures and Performance: Evidence from Post-Project Spinoff Activities of a Collaborative Public Program," International Journal of Public Administration, Taylor & Francis Journals, vol. 44(4), pages 290-299, March.
  • Handle: RePEc:taf:lpadxx:v:44:y:2021:i:4:p:290-299
    DOI: 10.1080/01900692.2020.1715426
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