Narrative plots for regulatory, distributive, and redistributive policies

IF 2.7 Q1 POLITICAL SCIENCE
Johanna Kuhlmann, Sonja Blum
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引用次数: 10

Abstract

The Narrative Policy Framework (NPF) has ignited a remarkably active research community, one of its main contributions being distinct narrative elements—including settings, characters, and plots. Yet, while the plot constitutes a core element of narrativity, it has received less attention vis-à-vis other narrative components. Existing classifications of plots have been proven to possess a great ability to capture “universal” policy stories, but not the specific variations of different types of policies. This article presents a typology of plots by linking their universal and policy-specific themes, thereby theorizing from Lowi's seminal typology of regulatory, distributive, and redistributive policies. Empirically, it focuses on the political communication of Germany's policy responses to the COVID-19 pandemic. Policy narratives were mined from Twitter and from governmental press conferences (March–June 2020). The qualitative NPF analysis demonstrates that the identified plots—restricting-to-control, liberating-to-promote, providing-to-promote, giving-to-give, and giving-to-promote—can grasp different regulatory, distributive, and redistributive policies as well as their variety.

Abstract Image

监管、分配和再分配政策的叙事情节
叙事政策框架(NPF)引发了一个非常活跃的研究社区,其主要贡献之一是独特的叙事元素,包括背景、人物和情节。然而,尽管情节构成了叙事的核心元素,但与其他叙事成分相比,它受到的关注较少。现有的情节分类已被证明具有捕捉“普遍”政策故事的强大能力,但不能捕捉不同类型政策的具体变化。本文通过将其普遍主题和政策特定主题联系起来,提出了一种情节类型,从而从洛伊对监管、分配和再分配政策的开创性类型学中进行理论推导。从经验上讲,它侧重于德国应对新冠肺炎疫情政策的政治沟通。政策叙述是从推特和政府新闻发布会(2020年3月至6月)中挖掘出来的。定性NPF分析表明,确定的限制控制、解放促进、提供促进、给予给予和给予促进的地块可以掌握不同的监管、分配和再分配政策及其多样性。
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来源期刊
European Policy Analysis
European Policy Analysis Social Sciences-Public Administration
CiteScore
9.70
自引率
10.00%
发文量
32
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