{"title":"Narrative plots for regulatory, distributive, and redistributive policies","authors":"Johanna Kuhlmann, Sonja Blum","doi":"10.1002/epa2.1127","DOIUrl":null,"url":null,"abstract":"<p>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 <i>types</i> 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—<i>restricting-to-control</i>, <i>liberating-to-promote</i>, <i>providing-to-promote</i>, <i>giving-to-give</i>, and <i>giving-to-promote</i>—can grasp different regulatory, distributive, and redistributive policies as well as their variety.</p>","PeriodicalId":52190,"journal":{"name":"European Policy Analysis","volume":"7 S2","pages":"276-302"},"PeriodicalIF":2.7000,"publicationDate":"2021-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/epa2.1127","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Policy Analysis","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/epa2.1127","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"POLITICAL SCIENCE","Score":null,"Total":0}
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.