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Patterns of Policy Networks at the Local Level in Germany

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  • Malte Möck

Abstract

Research on policy network formation has contributed to an understanding of the patterns of interaction among political actors. Belief homophily, power seeking, and opportunity structures provide explanations studied for specific policy areas. This study tests these established theories in a different environment by asking: What drives policy network formation at the local level? From a review of the literature on policy networks and local politics, the study derives nine hypotheses, which are tested for a German municipality. Information and coordination networks have been collected among its councilors through an online survey. The study identifies the drivers of their formation utilizing exponential random graph models. Findings support the effects of party membership and perceived influence. They also point to the tendency of councilors to coordinate with the mayor and they emphasize local councils as an influential opportunity structure specific to local networks. 关于政策网络形成的研究促进了对“政治行动者之间的互动模式”的理解。信念同质性(Belief homophily)、权力争取以及机会结构所提供的解释被用于特定政策领域研究。通过提出“是什么驱动了地方层面的政策网络形成”这一疑问,本研究在一个不同的环境下检验了这些理论。通过对政策网络和地方政治文献进行述评,本研究提出9个假设,并在一德国市镇中进行检验。通过网络调研收集了议员之间的信息和协调网络。通过应用指数随机图模型,本研究识别了网络形成的驱动因素。研究发现支持党派成员身份和感知影响所产生的效果。研究发现还指出了议员在配合市长方面的倾向,强调了地方议会作为对地方网络具有影响力的机会结构。 La investigación sobre la formación de redes de políticas ha contribuido a comprender los patrones de interacción entre los actores políticos. La homofilia de creencias, la búsqueda de poder y las estructuras de oportunidades proporcionan explicaciones estudiadas para áreas políticas específicas. Este estudio prueba estas teorías establecidas en un entorno diferente preguntando: ¿Qué impulsa la formación de redes de políticas a nivel local? A partir de una revisión de la literatura sobre redes de políticas y políticas locales, el estudio deriva nueve hipótesis, que se prueban en un municipio alemán. Se han recopilado redes de información y coordinación entre sus concejales a través de una encuesta en línea. El estudio identifica los impulsores de su formación utilizando modelos de gráficos aleatorios exponenciales. Los hallazgos apoyan los efectos de la pertenencia al partido y la influencia percibida. También señalan la tendencia de los concejales a coordinarse con el alcalde y enfatizan los consejos locales como una estructura de oportunidad influyente específica de las redes locales.

Suggested Citation

  • Malte Möck, 2021. "Patterns of Policy Networks at the Local Level in Germany," Review of Policy Research, Policy Studies Organization, vol. 38(4), pages 454-477, July.
  • Handle: RePEc:bla:revpol:v:38:y:2021:i:4:p:454-477
    DOI: 10.1111/ropr.12413
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    References listed on IDEAS

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    1. Hellmut Wollmann, 2004. "Urban Leadership in German Local Politics: The Rise, Role and Performance of the Directly Elected (Chief Executive) Mayor," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 28(1), pages 150-165, March.
    2. Mark Schneider & John Scholz & Mark Lubell & Denisa Mindruta & Matthew Edwardsen, 2003. "Building Consensual Institutions: Networks and the National Estuary Program," American Journal of Political Science, John Wiley & Sons, vol. 47(1), pages 143-158, January.
    3. Cranmer, Skyler J. & Desmarais, Bruce A., 2011. "Inferential Network Analysis with Exponential Random Graph Models," Political Analysis, Cambridge University Press, vol. 19(1), pages 66-86, January.
    4. Colette S. Vogeler & Nils C. Bandelow, 2018. "Mutual and Self Perceptions of Opposing Advocacy Coalitions: Devil Shift and Angel Shift in a German Policy Subsystem," Review of Policy Research, Policy Studies Organization, vol. 35(5), pages 717-732, September.
    5. Duxbury, Scott W, 2018. "Diagnosing Multicollinearity in Exponential Random Graph Models," SocArXiv 2tgm7, Center for Open Science.
    6. Manuel Fischer & Philip Leifeld, 2015. "Policy forums: Why do they exist and what are they used for?," Policy Sciences, Springer;Society of Policy Sciences, vol. 48(3), pages 363-382, September.
    7. Fischer, Manuel, 2015. "Institutions and coalitions in policy processes: a cross-sectoral comparison," Journal of Public Policy, Cambridge University Press, vol. 35(2), pages 245-268, August.
    8. Philip Leifeld & Volker Schneider, 2012. "Information Exchange in Policy Networks," American Journal of Political Science, John Wiley & Sons, vol. 56(3), pages 731-744, July.
    9. Joshua McDonnell, 2020. "Municipality size, political efficacy and political participation: a systematic review," Local Government Studies, Taylor & Francis Journals, vol. 46(3), pages 331-350, May.
    10. David Sweeting & Robin Hambleton, 2020. "The dynamics of depoliticisation in urban governance: Introducing a directly elected mayor," Urban Studies, Urban Studies Journal Limited, vol. 57(5), pages 1068-1086, April.
    11. Gais, Thomas L. & Peterson, Mark A. & Walker, Jack L., 1984. "Interest Groups, Iron Triangles and Representative Institutions in American National Government," British Journal of Political Science, Cambridge University Press, vol. 14(2), pages 161-185, April.
    12. Skyler J. Cranmer & Philip Leifeld & Scott D. McClurg & Meredith Rolfe, 2017. "Navigating the Range of Statistical Tools for Inferential Network Analysis," American Journal of Political Science, John Wiley & Sons, vol. 61(1), pages 237-251, January.
    13. Hunter, David R. & Handcock, Mark S. & Butts, Carter T. & Goodreau, Steven M. & Morris, Martina, 2008. "ergm: A Package to Fit, Simulate and Diagnose Exponential-Family Models for Networks," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 24(i03).
    14. Dr. Sanya Carley, School of Public and Environmental Affairs, Indiana University & Chang-Gyu Kwak & Richard Feiock & Christopher Hawkins & Youngmi Lee, 2016. "Impacts of Federal Stimulus Funding on Economic Development Policy Networks Among Local Governments," Review of Policy Research, Policy Studies Organization, vol. 33(2), pages 140-159, March.
    15. Christopher M. Weible & Tanya Heikkila, 2016. "Comparing the Politics of Hydraulic Fracturing in New York, Colorado, and Texas," Review of Policy Research, Policy Studies Organization, vol. 33(3), pages 232-250, May.
    16. Simon Matti & Annica Sandström, 2013. "The Defining Elements of Advocacy Coalitions: Continuing the Search for Explanations for Coordination and Coalition Structures," Review of Policy Research, Policy Studies Organization, vol. 30(2), pages 240-257, March.
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