
Søren Damsbo-Svendsen
University of Copenhagen
soerendamsbo.github.io
September 22, 2022
RQ: How does climate-related extreme weather experience affect pro-climate voting?
RQ: How does climate-related extreme weather experience affect pro-climate voting?
Pro-climate voting:
Northern Europe on
December 5 2013
European Environment Agency
Lynæs Bådelaug
rktic
Vikingeskibsmuseet
Jeanne & John Bollerup-Jensen
Level of analysis: 1,386 polling districts
Context: Danish parliamentary elections 1994-2019 (focus on 2011-2015)
Outcome: district vote share for pro-climate parties
Matched with district flooding based on 3 treatment definitions (all binary):
Difference-in-differences (DID) design
→ flooded and unflooded areas are fairly well-balanced on most covariates
→ generally, parallel pretrends (with some imbalances); 2015 (post) stands out!
→ flooding effect on pro-climate voting approx. 2-4 %-points
→ flooding effect robust to covariate matching
→ flooding effect tends to grow with flooding intensity
Level of analysis: 9,554 election candidates
Context: Danish local elections 2009-2017 (focus on 2013-2017)
Outcome: elected or not (binary)
Data: candidate survey w/ climate-related policy responses from 73% of candidates
Pro-climate candidate (binary): climate as key priority or climate score above 4/5
Treatment: high economic damage in municipality where candidate is running
Triple differences (DIDID) design
Pro-climate candidates within each party (%)



DIDID, all parties: approx. 5.5 %-points
DIDID, pro-climate parties: approx. 11.2 %-points
→ pro-climate candidates benefit electorally in post-flooding elections
RQ: How does climate-related extreme weather experience affect pro-climate voting?

RQ: How does climate-related extreme weather experience affect pro-climate voting?
→ sdas@ifs.ku.dk

Marco Faria
→ some imbalances; 2011 appears to be the odd election
→ with alternative baseline (2007) still flooding effect of at least 1.5 %-points