Voters do not punish their government for climate policies under favorable conditions
Henriks, Sofia LU ; Harring, Niklas and Droste, Nils LU
(2024)
In Environmental Politics
- Abstract
This article investigates the impact of climate policies on electoral support for governing parties in Sweden through mixed methods combining a sentiment analysis of news articles and regression discontinuities of voter support over time. The regression discontinuity models indicate that the effects of climate policies on government support are not robust and are spurious across different model specifications. To ensure that we can detect effects, we used a set of political events that could have affected government support, such as elections and the Covid-pandemic as robustness checks. Contrary to expectations from literature and analyzed news reporting, we cannot determine robust effects of introducing climate policies on governmental... (More)
This article investigates the impact of climate policies on electoral support for governing parties in Sweden through mixed methods combining a sentiment analysis of news articles and regression discontinuities of voter support over time. The regression discontinuity models indicate that the effects of climate policies on government support are not robust and are spurious across different model specifications. To ensure that we can detect effects, we used a set of political events that could have affected government support, such as elections and the Covid-pandemic as robustness checks. Contrary to expectations from literature and analyzed news reporting, we cannot determine robust effects of introducing climate policies on governmental support in Sweden. This suggests that governments do not need to anticipate losing substantial support when implementing climate policies–at least in favorable conditions.
(Less)
- author
- Henriks, Sofia
LU
; Harring, Niklas
and Droste, Nils
LU
- organization
- publishing date
- 2024
- type
- Contribution to journal
- publication status
- epub
- subject
- keywords
- Climate policy introduction, government support, issue voting, mixed methods
- in
- Environmental Politics
- publisher
- Taylor & Francis
- external identifiers
-
- scopus:85198666657
- ISSN
- 0964-4016
- DOI
- 10.1080/09644016.2024.2373606
- project
- The effect of environmental policies on voter support in Sweden
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
- id
- 01c36175-55bc-4af9-876c-7bf83b65b91d
- date added to LUP
- 2024-07-24 09:22:42
- date last changed
- 2024-07-24 11:15:10
@article{01c36175-55bc-4af9-876c-7bf83b65b91d,
abstract = {{<p>This article investigates the impact of climate policies on electoral support for governing parties in Sweden through mixed methods combining a sentiment analysis of news articles and regression discontinuities of voter support over time. The regression discontinuity models indicate that the effects of climate policies on government support are not robust and are spurious across different model specifications. To ensure that we can detect effects, we used a set of political events that could have affected government support, such as elections and the Covid-pandemic as robustness checks. Contrary to expectations from literature and analyzed news reporting, we cannot determine robust effects of introducing climate policies on governmental support in Sweden. This suggests that governments do not need to anticipate losing substantial support when implementing climate policies–at least in favorable conditions.</p>}},
author = {{Henriks, Sofia and Harring, Niklas and Droste, Nils}},
issn = {{0964-4016}},
keywords = {{Climate policy introduction; government support; issue voting; mixed methods}},
language = {{eng}},
publisher = {{Taylor & Francis}},
series = {{Environmental Politics}},
title = {{Voters do not punish their government for climate policies under favorable conditions}},
url = {{http://dx.doi.org/10.1080/09644016.2024.2373606}},
doi = {{10.1080/09644016.2024.2373606}},
year = {{2024}},
}