A network analysis of China’s Central Committee: a dynamical theory of policy networks

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dc.contributor.author Sibayan, Jerome Tan
dc.date.accessioned 2013-02-25T19:28:55Z
dc.date.available 2013-02-25T19:28:55Z
dc.date.issued 2013-02-25
dc.identifier.uri http://hdl.handle.net/2097/15317
dc.description.abstract How does the social network structure of China’s Central Committee influence the direction and timing of intra-Party events, domestic policies, and foreign policies? How do changes in network structures explain specific patterns and propensities for policy change? The purpose of this study is to describe the social network structure of the Chinese Communist Party’s Central Committee from 1922 to 2011 and to explore the relationship between changes in the network and policy trends. This study draws on policy network theory, network dynamics, Veto Player Theory and Prospect Theory which together posit that dynamic network structural characteristics influence policy outcomes. I introduce a dynamical theory of policy networks and describe some observable implications. This mixed method analysis is based on a new network dataset and follows two major lines of investigation. A structured, focused comparison of case studies associates changes in the Central Committee’s network structure in 1969, 1978, 1982, and 1997 with consequent policy outcomes and demonstrates the explanatory power of the dynamical theory. Statistical analyses of China’s foreign policies (1949-1978 and 1984-1995) and China’s domestic policies (1984-1995) suggest the dynamical theory is generalizable. Changes in paramount leader and potential competitor centralities and Central Committee centralization are important causal factors explaining the timing and type of intra-Party, domestic, and foreign policies. en_US
dc.language.iso en_US en_US
dc.publisher Kansas State University en
dc.subject Social network analysis en_US
dc.subject China's Central Committee en_US
dc.subject Policy networks en_US
dc.subject Guanxi en_US
dc.title A network analysis of China’s Central Committee: a dynamical theory of policy networks en_US
dc.type Dissertation en_US
dc.description.degree Doctor of Philosophy en_US
dc.description.level Doctoral en_US
dc.description.department Security Studies en_US
dc.description.advisor David Graff en_US
dc.subject.umi Political Science (0615) en_US
dc.date.published 2013 en_US
dc.date.graduationmonth May en_US


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