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Relational coupling of multiple streams: The case of COVID‐19 infections in German abattoirs.

  • Published In: Policy Studies Journal, 2023, v. 51, n. 2. P. 351 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Möck, Malte; Vogeler, Colette S.; Bandelow, Nils C.; Hornung, Johanna 3 of 3

Abstract

After a series of COVID‐19 outbreaks among employees in the German meat‐processing industry, the Work Safety Control Act protecting these workers made it on the government's agenda in July 2020. From a Multiple Streams perspective, local corona hotspots may be understood as policy windows for introducing respective measures. However, this alone is not sufficient to explain agenda setting. This study investigates the coupling of streams within policy windows. Introducing the notion of relational coupling to the MSF research agenda, discourse network analysis provides a new methodology to reveal entrepreneurial activities. Studying the German mass media discourse on the issue identifies two stages: (1) An initial problem brokerage without coupling of core policies, followed by (2) a coupling across all streams based on a focusing event. We argue that relational coupling allows for an enhanced understanding of agenda setting. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Policy Studies Journal. 2023/05, Vol. 51, Issue 2, p351
  • Document Type:Article
  • Subject Area:Communication and Mass Media
  • Publication Date:2023
  • ISSN:0190-292X
  • DOI:10.1111/psj.12459
  • Accession Number:163991887
  • Copyright Statement:Copyright of Policy Studies Journal is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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