Data · dataset · 2000
The Analysis of the Candidates\' Winning Factors in the 13th Mayor Election
Listed in Harvard Dataverse
This research assumes that ten variables are related to the percentage of votes the candidate will have and whether he will carry the election.
Description
The ten variables are the candidate\'s birthplace, education level, party nomination, policy appeals, image, present government position, supporting groups, campaign , the number of candidates, and internal split-off. Through analysis of the empirical data of the 13th mayor election from 21 cities, it shows that the number of candidates, party nomination, present government position, supporting groups, image , campaign , policy appeals , totally 7 variables have significant correlation with the percentage of votes the candidate will have.
However,the other 3 factors, the candidate\'s birthplace, education level, and internal split-off, do not. When we further analyze the data using multiple regression, we find that the main factors affecting the votes gaining percentage in order are policy appeals, campaign, supporting groups and the number of the candidates. These four factors explain 87.89% of the variance.
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In addition, the present government position, supporting groups , image, policy appeals , party nomination , ampaign have significant correlation with \" whether the candidate will carry the election. \"However, the other 4 factors do not. When we use logistic egression to further analyze the data, we find that the main actors affecting \" whether the candidate will carry the election \" are policy appeals and present government position in order.From the previous discussion, we can conclude that : the winning factors of a candidate are only partly explained by the voting preference of voters.
To sum up, other than voters\' voting reference, whether the candidate will carry the election is still affected by macro and structural factors.
Links
Where it is published
- Dataverse dataset page dataverse.harvard.edu/dataset.xhtml?persistentId=doi%3A10.6141%2FTW-SRDA-E87048-1 ↗
landing page · from Harvard Dataverse
- DOI doi.org/10.6141/tw-srda-e87048-1 ↗
DOI / persistent id · from Harvard Dataverse
Catalogue records · 1
- Dataverse API dataverse.harvard.edu/api/datasets/:persistentId/?persistentId=doi%3A10.6141%2FTW-SR… ↗
metadata API · from Harvard Dataverse
Topics
- Inferred from text
- Image 75%
Provenance · 1 source records, 6 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Harvard Dataverse | doi:10.6141/TW-SRDA-E87048-1 | 15 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[modality].local:modality:image | enrichment · Harvard Dataverse | keyword-concept-rules@1.0.0 | title+description (75%) |
| created_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| description | source · Harvard Dataverse | connector:dataverse@1.0.0 | /description |
| publication_date | source · Harvard Dataverse | connector:dataverse@1.0.0 | |
| title | source · Harvard Dataverse | connector:dataverse@1.0.0 | /name |
| updated_date | source · Harvard Dataverse | connector:dataverse@1.0.0 |