{"title":"Show Your Flag or Be Everyone's Friend?: The Effects of District Magnitude on Vote-Securing Strategies","authors":"Kosuke Nakamura, Junichiro Wada","doi":"10.2139/ssrn.3345557","DOIUrl":null,"url":null,"abstract":"In this paper, we argue that a difference in district magnitude—the number of seats per district—causes variation in electoral competition. We show that in the Single-Member District with Plurality voting (SMDP) system, voters may cast their ballots using the candidate’s “visual cues�?—this is particularly notable when voters cannot rely on party labels. We quantify the candidate’s smile in a replicable form by using automated facial recognition technology. Using data from local assembly elections in an urban area in Japan, we showed how a candidate’s smile, the proxy of the candidate’s visual, is effective in gathering floating votes in SMDP, but it does not increase the vote share in Multi-Member Districts with Single Non-Transferable Voting (MMDs/SNTV) system.","PeriodicalId":170831,"journal":{"name":"Public Choice: Analysis of Collective Decision-Making eJournal","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Public Choice: Analysis of Collective Decision-Making eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3345557","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, we argue that a difference in district magnitude—the number of seats per district—causes variation in electoral competition. We show that in the Single-Member District with Plurality voting (SMDP) system, voters may cast their ballots using the candidate’s “visual cues�?—this is particularly notable when voters cannot rely on party labels. We quantify the candidate’s smile in a replicable form by using automated facial recognition technology. Using data from local assembly elections in an urban area in Japan, we showed how a candidate’s smile, the proxy of the candidate’s visual, is effective in gathering floating votes in SMDP, but it does not increase the vote share in Multi-Member Districts with Single Non-Transferable Voting (MMDs/SNTV) system.