Network Structure and Governance Performance: What Makes a Difference?
<italic>Comparing and evaluating the performance of governance networks are important tasks for researchers and practitioners of network governance and public administration. Limited by the lack of network data across space and time, the study of network performance and effectiveness at the network...
| Publicado en: | Public Administration Review Vol. 78; no. 2; pp. 195 - 206 |
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| Formato: | Artículo |
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Wiley-Blackwell
Mar/Apr2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=128227926&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 128227926 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00333352 PBA jtl: Public Administration Review issn: 00333352 maglogo: Y pubinfo: dt: Mar/Apr2018 vid: 78 iid: 2 pid: 480 pub: Wiley-Blackwell artinfo: ui: 128227926 10.1111/puar.12886 ppf: 195 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P size: 643KB tig: atl: Network Structure and Governance Performance: What Makes a Difference? aug: au: Yi, Hongtao affil: The Ohio State University su: Network governance Public administration Policy networks Social capital Clean energy sug: subj: Network governance Public administration Policy networks Social capital Other General Government Support Clean energy ab: <italic>Comparing and evaluating the performance of governance networks are important tasks for researchers and practitioners of network governance and public administration. Limited by the lack of network data across space and time, the study of network performance and effectiveness at the network level is not on pace with advances in theories and methodologies in network analysis. With a novel methodology to measure clean energy governance networks using hyperlink network analysis across the contiguous United States, this article collects a large sample of self‐organizing policy networks in the same policy domain across geographic locations. This article proposes that governance networks with high overall bridging and bonding social capital perform better. Regression analyses show that network structures have statistically significant effects on governance outcomes. States with high average closeness and average clustering in their governance networks are more likely to have faster clean energy development</italic>. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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