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  4. Business Power in Noisy Politics: An Exploration Based on Discourse Network Analysis and Survey Data
 
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Business Power in Noisy Politics: An Exploration Based on Discourse Network Analysis and Survey Data

Journal
Politics and Governance
ISSN
2183–2463
Type
journal article
Date Issued
2020-06-02
Author(s)
Rinscheid, Adrian  
DOI
10.17645/pag.v8i2.2580
Abstract
This study links voter-centred and interest group perspectives to assess the role structurally powerful businesses can play in contested political issues. Revisiting the literature on business influence in politics, incumbent businesses are theorised to strategically use their structural power to influence voters’ preferences. The conceptual framework is illustrated with a case study of a direct democratic vote related to Swiss energy policy. To empirically trace the role incumbent businesses played in the run-up to the vote, the study employs a two-step approach. First, it uses discourse network analysis (DNA) to examine arguments and actor coalitions in the public debate preceding the vote. Second, the DNA results inform a statistical analysis of survey data on voting behaviour. The findings suggest that incumbent businesses can use their structural power strategically to shape voting behaviour. The study stimulates the discussion about political power relationships in societies and enriches the nascent debate about phasing out unsustainable energy infrastructure. Importantly, it opens up ways to combine DNA with other methods, an avenue that shows promise for use and further refinement in future applications.
Language
English
HSG Classification
contribution to scientific community
Refereed
Yes
Volume
8
Number
2
Start page
286
End page
297
Pages
12
Official URL
https://www.cogitatiopress.com/politicsandgovernance/article/view/2580
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/112053
Subject(s)

political science

Division(s)

IWOE - Institute for ...

Eprints ID
260370
File(s)
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open.access

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Rinscheid 2020_Business Power in Noisy Politics- An Exploration Based on Discourse Network Analysis and Survey Data.pdf

Size

1.52 MB

Format

Adobe PDF

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