Network Dynamics in Natural Resource Governance: A Case Study of Swiss Landscape Management

Angst, Mario; Hirschi, Christian (2016). Network Dynamics in Natural Resource Governance: A Case Study of Swiss Landscape Management. Policy studies journal, 45(2), pp. 315-336. Policy Studies Organization 10.1111/psj.12145

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Structural characteristics of social networks have been recognized as important factors of effective natural resource governance. However, network analyses of natural resource governance most often remain static, even though governance is an inherently dynamic process. In this article, we investigate the evolution of a social network of organizational actors involved in the governance of natural resources in a regional nature park project in Switzerland. We ask how the maturation of a governance network affects bonding social capital and centralization in the network. Applying separable temporal exponential random graph modeling (STERGM), we test two hypotheses based on the risk hypothesis by Berardo and Scholz (2010) in a longitudinal setting. Results show that network dynamics clearly follow the expected trend toward generating bonding social capital but do not imply a shift toward less hierarchical and more decentralized structures over time. We investigate how these structural processes may contribute to network effectiveness over time.

Item Type:

Journal Article (Original Article)

Division/Institute:

03 Faculty of Business, Economics and Social Sciences > Social Sciences > Institute of Political Science

UniBE Contributor:

Angst, Mario

Subjects:

300 Social sciences, sociology & anthropology > 320 Political science

ISSN:

0190-292X

Publisher:

Policy Studies Organization

Language:

English

Submitter:

Mario Angst

Date Deposited:

09 May 2016 16:08

Last Modified:

21 May 2017 02:05

Publisher DOI:

10.1111/psj.12145

Uncontrolled Keywords:

natural resource governance, policy networks, social network analysis

BORIS DOI:

10.7892/boris.79982

URI:

https://boris.unibe.ch/id/eprint/79982

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