Analysis on the Changing Spatial Patterns of National Assembly Election Results: Focusing on 19th and 20th Elections (국회의원 선거 결과의 공간 패턴 변화 분석: 19대 및 20대 국회의원 선거를 중심으로)

Soyoung Lee (이소영); Cho, Daeheon (조대헌); Changwoo Jeon (전창우); ZHU LEI

Analysis on the Changing Spatial Patterns of National Assembly Election Results: Focusing on 19th and 20th Elections

Journal of the Korean Cartographic Association
Abbr : JKCA
2016, 16(3), pp.29-47
Publisher : The Korean Cartographic Association
Research Area : Social Science > Geography > Geography in general > Cartography
Published : December 31, 2016

Soyoung Lee ¹, Cho, Daeheon ², Changwoo Jeon ³, ZHU LEI ⁴

¹서울대학교
²가톨릭관동대학교
³서울대학교 대학원 지리교육과
⁴충북대학교

Accredited

ABSTRACT

Election is one of important interests in geography because the members of National Assembly of Korea are elected mainly in spatial unit, which is called Election District. The purpose of this study is to understand the changing spatial pattern between the 19th and the 20th National Assembly Elections in South Korea. For this purpose, spatial statistical analysis was performed to explain the results of the elections in Eup-Myeon-Dong units through out the Capital Region and the study offers three primary findings. First, in general, the voting rate for ruling party decreased in both Local District Election and Proportional Representation Election, which comprise the National Assembly Election. However, considering only two main parties, the total vote rate of the ruling party, and the number and the vote rate in Eup-Myeon-Dong units where the percentage of votes for the ruling party is the highest, did not have significant change. Second, the results of the spatial cluster analysis indicated a strong pattern of spatial clustering in the Eup-Myeon-Dong units than that of election district units. Similarly, the proportional representation election outcomes showed a stronger spatial clustering than those in the local district election. Third, according to the results of bivariate spatial association analysis between two periods, 30% of Eup-Myeon-Dong units are found to adhere to the prior political inclination, while the regions with change in vote rate of the ruling party also showed a strong pattern of spatial clustering.

KEYWORDS

Electoral geography, Spatial clusters, Spatial autocorrelation, Spatial association statistics, Lee’s L statistics, Redistricting

Citation status

* References for papers published after 2023 are currently being built.

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