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3 article(s) found.
Chih-sung Teng, Associate Professor, Graduate Institute of National Development, National Taiwan University.
Chia-feng Huang, Doctoral Student, Department of Politics, University of California, Riverside.
Chin-en Wu, Associate Research Fellow, Institute of Political Science, Academia Sinica.
Environmental Protest and Green Party Vote Share: An Investigation of Party List Vote in the 2012 Legislative Election (in Chinese) Download
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We investigate the relationship between environmental protests and parties’ vote shares. Whether environmental protest contributes to the vote share of the Green party? As Green party emphasizes environment protection, people who suffer from environmental pollution is more likely to endorse Green Party. If not, what are the factors behind the situation? We collect and categorize environmental protest data between 1987 and 2009. Applying GIS and spatial analysis, we collapse protest events by township and issue types. Combining legislative election results, we analyze the influence of environmental protests on the vote shares of parties. The empirical result shows that anti-industrial pollution protests exert the most significant effect on party vote share but the influence varies across parties.

First, anti-industrial pollution protest is not significantly associated with the vote share of Green Party. The larger the number of anti-industrial pollution protest in a township, the higher the DPP’s vote share and the lower the KMT’s vote share. For the other types of environmental protests, we do not find comparable effect of protests on vote sharing. In this article we also find that it is socio-economic status of a township rather than the intensity of environmental protest that affect the electoral performance of Green party. Finally, the empirical model also demonstrates the significance of neighborhood effect on parties’ vote shares.
Chih-sung Teng, Associate Professor, Graduate Institute of National Development, National Taiwan University.
Chin-en Wu, Assistant Research Fellow, Institute of Political Science, Academia Sinica.
I-jung Ko, MA, Graduate Institute of National Development, National Taiwan University.
What Causes the Invalid Votes? With a Concurrently Discussion of Spatial Analysis of Invalid Votes in Taiwan's Elections, 1992-2008 (in Chinese) Download
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The issue of invalid votes receives few scholarly attentions. Many consider invalid votes as the result of unintended behavior and do not explore the factors that may influence the incidence of invalid votes. We examine 37 elections of different levels between 1992 and 2008 in Taiwan by using panel data analysis. We find that the distribution of invalid votes are not random but are influenced by institutional and socioeconomic factors. Regarding institutional factors, the elections codes, the complexity of elections, the importance of elections, and years after the democratic transition are the main influencing factors. Years of education, the percentage of elders, population density, and percentage of indigenous citizens are the main socioeconomic variables that affect the incidence of invalid votes. The two strings of factors can explain about 34% of the variance in invalid votes. In addition to the pooled OLS model, we also employ spatial lag model and spatial error model. The two models show that the distribution of invalid votes exhibit positive spatial autocorrelation. In addition, some areas also exhibit spatial heterogeneity, which is likely to be attributed to the alienation of voters in the districts. We might need to pay special attention to these areas to enhance the quality of democracy.
Jinn-guey Lay, Associate Professor, Department of Geography, National Taiwan University.
Ko-hua Yap, Doctoral Student, Department of Geography, National Taiwan University. Corresponding Author.
Chy-chang Chang, Postgraduate, Department of Geography, National Taiwan University.
Spatial Perspectives and Analysis on Voting Behavior-A Case Study of the 2004 Taiwan Presidential Election (in Chinese) Download
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Spatial perspectives were seldom applied on the study of voting behavior in Taiwan in the past. However, the regional differentiation of voting behavior had been generally attended. Moreover, it would certainly dominate the division of Single-Member Districts and the eventual outcome. The authors attempt to explore spatial issues in electoral studies in this article. First, by defining spatial effects as spatial heterogeneity and spatial dependency, it could be then revealed how it influenced voting behavior. Secondly, indicators of spatial autocorrelation and the spatial regression model are introduced to explore and examine spatial effects. In the later half of the article, the 2004 Taiwan presidential election is taken as an empirical example to support three hypotheses: 1) similar voting are spatially clustered, in other words, voting are similar among neighboring communities; 2) residuals in the classical regression model exhibited regional differentiation that reveals spatial heterogeneity; 3) contiguous voters can still be affected even the social factors such as age, education, industry, income and ethnicity have been controlled (a revelation of the dominance of spatial dependence). The authors thus conclude that it shall always be taken into consideration regarding where the voters live.