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Journal of Public Administration Research and Theory Advance Access published online on July 12, 2008

Journal of Public Administration Research and Theory, doi:10.1093/jopart/mun013
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© The Author 2008. Published by Oxford University Press on behalf of the Journal of Public Administration Research and Theory, Inc. All rights reserved. For permissions, please e-mail: journals.permissions@oxfordjournals.org

Why Do Agencies Work Together? The Determinants of Network Formation at the Subnational Level of Government in Thailand

Weerasak Krueathep1

Chulalongkorn University

Norma M. Riccucci

School of Public Affairs and Administration, Rutgers University, Newark Campus

Charas Suwanmala

Chulalongkorn University

Address correspondence to the author at weerasakk{at}yahoo.com

There is a small, although well-established body of literature examining network performance and accountability. In addition, there are relatively few studies which examine potential factors for determining network formation. The current study provides a systematic analysis of network formation determinants. A logistic regression model is constructed to explain the probability of network formation; five major groups of explanatory variables are included: institutional, programmatic, managerial, political, and socioeconomic. Data for this study were collected between 2003 and 2005 from 411 programs at the subnational governance level of Thailand as part of a larger study on the management of local governments. The analysis shows that the most significant variables in determining network formation include the nature of the programs and management capacity. Local political climate also has a significant effect on network formation, but only indirectly. The study also reveals that collaborations in educational and cultural promotion programs are still restricted, which differs from the experiences in many developed countries. This study illustrates the importance of programmatic, managerial, and political contexts that administrators may consider when forming networks.


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