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首页> 外文学位 >Tying it all together: Networks and policy-oriented learning in regional planning processes.
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Tying it all together: Networks and policy-oriented learning in regional planning processes.

机译：捆绑在一起：在区域规划过程中进行网络和面向政策的学习。

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摘要

This dissertation investigates the determinants of policy network structure, and the role of belief systems and biased learning in shaping networks. Understanding the interplay between beliefs and networks is important in order to move towards a theory of institutional design to support policy and social learning in the face of complex planning issues. Three theoretical frameworks are adopted to explain network structure. The Advocacy Coalition Framework (ACF) asserts that actors are subject to systematic cognitive biases that polarize networks along ideological lines. This causes entrenched political conflict and tends to inhibit successful learning. The Institutional Analysis and Development framework asserts beliefs and values do not drive network structure, and that actors seek to position themselves close to political resources. Social Capital Theory asserts that policy brokers are able to span divides within networks by making investments in collaborative ties.;Hypotheses are tested using survey data on the beliefs and networking behavior of policy elites involved in transportation and land use planning in five regions of California (N = 752). Results lend support for the ACF view that networks are polarized through cognitive biases, but also demonstrate that shared beliefs are not a sufficient explanation for network cohesion. Power-seeking may be a strong driver of networking within ideologically-similar groups (as predicted by Institutional Analysis and Development), and policy brokers can help to create social capital both within and across groups through transitivity effects. Finally, this dissertation underscores the need to develop better methods of survey-based network measurement to support future research on policy networks.
机译：本文研究了政策网络结构的决定因素，以及信念系统和偏向学习在塑造网络中的作用。为了朝着体制设计的理论迈进，以支持面对复杂的计划问题的政策和社会学习，理解信念和网络之间的相互作用非常重要。采用三个理论框架来解释网络结构。倡导联盟框架（ACF）断言，行为者会受到系统的认知偏见的影响，这种偏见会沿着意识形态路线将网络极化。这导致了根深蒂固的政治冲突，并倾向于阻碍成功的学习。机构分析和发展框架断言，信念和价值观并不能驱动网络结构，参与者必须设法将自己置于政治资源附近。社会资本理论断言，政策经纪人可以通过对合作关系进行投资来跨越网络中的鸿沟。假设使用关于加利福尼亚五个地区参与交通和土地使用规划的政策精英的信念和网络行为的调查数据进行了假设检验（ N = 752）。结果为ACF的观点提供了支持，即网络通过认知偏见是两极化的，但也表明共享的信念不足以解释网络的凝聚力。寻求权力可能是意识形态相似的群体之间建立网络的强大动力（如机构分析与发展所预测），政策经纪人可以通过传递效应来帮助在群体内部和群体之间创造社会资本。最后，本文强调需要开发更好的基于调查的网络度量方法，以支持将来对政策网络的研究。

著录项

  • 作者

    Henry, Adam Douglas.;

  • 作者单位

    University of California, Davis.;

  • 授予单位 University of California, Davis.;
  • 学科 Political Science General.;Urban and Regional Planning.;Political Science Public Administration.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 148 p.
  • 总页数 148
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 政治理论;政治理论;区域规划、城乡规划;
  • 关键词

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