Party effect in Hong Kong : How party works in Hong Kong Legislative Council Election

Research output: Conference Papers (RGC: 31A, 31B, 32, 33)33_Other conference paperNot applicablepeer-review

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Detail(s)

Original languageEnglish
Publication statusPresented - 14 Sep 2019

Conference

Title3rd International Interdisciplinary Symposium on the Quantitative Analysis of Textual Data, POLTEXT 2019
LocationWasada University
PlaceJapan
CityTokyo
Period14 - 15 September 2019

Abstract

Previous research initiated party effect would influence electoral result through resource mechanism, ideological mechanism, and individual characteristic mechanism. Besides, it can also be moderated by the general electoral environment. However, the existing research fails to explain the party effect mechanism under the constrained democratic system in Hong Kong. In terms of that, this paper attempts to analyze how political party influence the Legislative Council (LegCo) election through what mechanisms. By applying this topic into a more practical ground, this paper will present a set of data including all candidates (N= 965) from Hong Kong LegCo as a case study by deriving the data from the LegCo official disclosure from 1991 to 2016. The results indicate that voting preference in LegCo still biased to pro-democratic candidates, while the pro-Beijing camp ensured their leading status by institutional guarantee. Specifically, party effect in Hong Kong LegCo is subjected to a complicated mechanism, tying to candidate’s ideological preference, rather than their affiliated party. Besides, candidates who owned the esteemed occupational orientation will be more likely to win. Moreover, the grand electoral environment significantly moderates the party effect in Hong Kong. The resource mechanism only reflects on the party size. Finally, the electoral advantage has gradually shifted towards pro-Beijing affiliation over time.

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Citation Format(s)

Party effect in Hong Kong : How party works in Hong Kong Legislative Council Election. / Zhi, Pei; Lin, Fen.

2019. 3rd International Interdisciplinary Symposium on the Quantitative Analysis of Textual Data, POLTEXT 2019, Tokyo, Japan.

Research output: Conference Papers (RGC: 31A, 31B, 32, 33)33_Other conference paperNot applicablepeer-review