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2 article(s) found.
Chi Huang, Chair Professor, Department of Political Science and Senior Research Fellow, Election Study Center, National Chengchi University.
Chang-chih Lin, Adjunct Assistant Professor, Department of Political Science, National Chengchi University.
Hung-chung Wang, Post-doctoral Researcher, Election Study Center, National Chengchi University.
Analysis of Straight- and Split-Ticket Voting in Three-in-One Election: The Case of 2010 Kaohsiung Metropolitan Elections (in Chinese) Download
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Three-in-one election held on November 27th 2010 is the first five metropolitan elections in the history of Taiwan's local elections. Voters in this election could cast three ballots for different political positions: mayor, city councilor, and head of li. This study focuses on the Kaohsiung city and analyzes voters' straight- and split-ticket voting in the 2010 three-in-one election.In general, the character of electoral competition is shaped by electoral systems and the level of election. Single-member district with plurality system is considered to contribute to a competition between two major parties, whereas minor parties are more likely to survive under the SNTVMMD system. In the 2010 Kaohsiung mayoral election, then DPP incumbent Kaohsiung County Magistrate Chiu-hsing Yang ran for mayoral election as an independent candidate and replaced the KMT candidate, Chao-shun Huang, as the major competitor of incumbent mayor, Chu Chen. Our study finds that indeed some pan-blue partisans voted for Yang strategically in the mayoral election. This finding to an extent confirms the rumor of ”dump Huang and save Yang” before the election.Meanwhile, most of those pan-blue partisans who voted Yang for mayor remained to support pan-blue candidates in the city councilor election, showing a split-ticket voting pattern. In contrast, pan-green partisans demonstrated a high degree of loyalty to the DPP mayoral candidate, Chu Chen, and the pan-green candidates in the city councilor elections.As for the lowest-level election of head of li, our study shows that there is no significant relationship between vote choice of head of li and that of mayor and city councilor. This finding indicates that the character of the election of head of li is quite different from that of mayor and councilor election.
Chi Huang, Professor, Department of Political Science, National Chung-Cheng University.
Analyzing Electoral Stability and Change: Markov Chain Models for Longitudinal Categorical Data (in Chinese) Download
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How voters cast their votes in successive elections determines not only the fate of candidates but also the rise and fall of political parties and sometimes even causes party system changes. The subject of electoral stability and change, due to its significance in theory and practice, has long attracted the attention of political scientists around the world. Despite the voluminous publications cumulated so far, however, there are still heated debates regarding how best to model this dynamic electoral process and to estimate the amount of changes.

The purpose of this paper is two-folds. First, it clarifies some confusion in the literature caused by its failing to distinguish gross change from net change and to recognize the strengths and weaknesses of various types of data in evaluating these two changes. After pointing out how panel data prevail over repeated cross-sections and aggregate data in estimating both forms of changes, we then proceed to identify a statistical model that best fits the categorical measurement of electoral changes dominant in panel surveys. The second part of this paper, therefore, pinpoints discrete-time discrete-state Markov chain models as ideal tools for describing the dynamic electoral process and further analyzing the sources of change patterns. The transition probabilities of Markov models coincide with the theoretical concepts of flow-of-the-votes and reflect the way state dependence shapes the trajectories of electoral changes. Finally, we apply a mixed Markov model to the three-wave Japanese Election Study (JES) panel data set to illustrate the potential of this technique.