| Title |
Weather conditions and political party vote share in Dutch national parliament elections, 1971–2010
|
|---|---|
| Published in |
International Journal of Biometeorology, October 2011
|
| DOI | 10.1007/s00484-011-0504-8 |
| Pubmed ID | |
| Authors |
Rob Eisinga, Manfred Te Grotenhuis, Ben Pelzer |
| Abstract |
Inclement weather on election day is widely seen to benefit certain political parties at the expense of others. Empirical evidence for this weather-vote share hypothesis is sparse however. We examine the effects of rainfall and temperature on share of the votes of eight political parties that participated in 13 national parliament elections, held in the Netherlands from 1971 to 2010. This paper merges the election results for all Dutch municipalities with election-day weather observations drawn from all official weather stations well distributed over the country. We find that the weather parameters affect the election results in a statistically and politically significant way. Whereas the Christian Democratic party benefits from substantial rain (10 mm) on voting day by gaining one extra seat in the 150-seat Dutch national parliament, the left-wing Social Democratic (Labor) and the Socialist parties are found to suffer from cold and wet conditions. Cold (5°C) and rainy (10 mm) election day weather causes the latter parties to lose one or two parliamentary seats. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 20% |
| United Kingdom | 1 | 20% |
| Austria | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
| Members of the public | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 10% |
| Netherlands | 1 | 5% |
| Switzerland | 1 | 5% |
| Unknown | 16 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 5 | 25% |
| Student > Master | 3 | 15% |
| Researcher | 3 | 15% |
| Student > Bachelor | 2 | 10% |
| Professor | 1 | 5% |
| Other | 3 | 15% |
| Unknown | 3 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 7 | 35% |
| Economics, Econometrics and Finance | 3 | 15% |
| Earth and Planetary Sciences | 2 | 10% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Computer Science | 1 | 5% |
| Other | 3 | 15% |
| Unknown | 3 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 September 2017.
All research outputs
#1,826,870
of 22,656,971 outputs
Outputs from International Journal of Biometeorology
#147
of 1,286 outputs
Outputs of similar age
#9,546
of 141,447 outputs
Outputs of similar age from International Journal of Biometeorology
#1
of 5 outputs
Altmetric has tracked 22,656,971 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
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