Antecedents of Border Management Network in El Paso, Texas: An Exponential Random Graph Model

Yeo Jungwon ()
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Yeo Jungwon: University of Central Florida, School of Public Administration, Orlando, FL 32816, United States of America

Journal of Homeland Security and Emergency Management, 2018, vol. 15, issue 3, 13

Abstract: Despite the growing interest in interorganizational border management, relatively little is known about antecedents that drive such coordination efforts emerging in and around border regions. This case study uses exponential random graph models to test hypotheses about the antecedents of a border management coordination network in El Paso, Texas. The analysis demonstrates that actors tend to build tightly closed relationships through bonding and clustering, while also seeking cross-sectoral partnerships. In addition, actors tend to build ties with public organizations, and with organizations that represent regional interests/issues in the border management context. The research discusses the findings and offers some policy and administrative implications to enhance actor relationships within the border management network.

Keywords: border management; exponential random graph model; interorganizational coordination; network analysis (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1515/jhsem-2016-0011

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