Analysis of Regional Economic Disparities and Voter Turnout in the 2024 Elections in Korea and Mexico Using Big Data

This study examines the impact of regional economic disparities on voter turnout in South Korea and Mexico using machine learning and statistical analysis. A country comparison analysis showed that economic centers with high GRDP had lower voter turnout in both countries. K-means clustering identified three regional clusters, revealing a trend where regions with higher economic growth or economic hardship tended to have lower participation rates. In South Korea, multiple regression analysis indicated that the home sales index had the largest influence on turnout, while income and wealth had smaller effects. Economic expectations from the Consumer Sentiment Survey were insignificant. In Mexico, analyses of business activity and workforce percentages showed that closed businesses had a slight negative effect on turnout, but overall, economic variables did not significantly impact participation. This study provides key insights for companies operating in South Korea and Mexico, emphasizing the importance of aligning market entry strategies with regional socioeconomic and political dynamics. Businesses targeting economically prosperous areas must address potential political disengagement and policy unpredictability, while those in regions with moderate economic activity may benefit from stronger community engagement. Additionally, firms in economically challenged areas should prioritize CSR initiatives to address inequality and foster sustainable operations.

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Publication Details

Journal
The Academic Society of Global Business Administration
Published
2024-12-31
DOI
https://doi.org/10.38115/asgba.2024.21.6.308
Primary Topic
Computational and Text Analysis Methods
Type
article
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article

Analysis of Regional Economic Disparities and Voter Turnout in the 2024 Elections in Korea and Mexico Using Big Data

Jaehak Lee, Kyung Tae Hwang
The Academic Society of Global Business Administration
Computational and Text Analysis Methods
article

Analysis of Regional Economic Disparities and Voter Turnout in the 2024 Elections in Korea and Mexico Using Big Data

Jaehak Lee, Kyung Tae Hwang
article en

Abstract

This study examines the impact of regional economic disparities on voter turnout in South Korea and Mexico using machine learning and statistical analysis. A country comparison analysis showed that economic centers with high GRDP had lower voter turnout in both countries. K-means clustering identified three regional clusters, revealing a trend where regions with higher economic growth or economic hardship tended to have lower participation rates. In South Korea, multiple regression analysis indicated that the home sales index had the largest influence on turnout, while income and wealth had smaller effects. Economic expectations from the Consumer Sentiment Survey were insignificant. In Mexico, analyses of business activity and workforce percentages showed that closed businesses had a slight negative effect on turnout, but overall, economic variables did not significantly impact participation. This study provides key insights for companies operating in South Korea and Mexico, emphasizing the importance of aligning market entry strategies with regional socioeconomic and political dynamics. Businesses targeting economically prosperous areas must address potential political disengagement and policy unpredictability, while those in regions with moderate economic activity may benefit from stronger community engagement. Additionally, firms in economically challenged areas should prioritize CSR initiatives to address inequality and foster sustainable operations.

The Academic Society of Global Business AdministrationVol. 21(6)
Openalex Percentile: Top 54%
Computational and Text Analysis Methods
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Analysis of Regional Economic Disparities and Voter Turnout in the 2024 Elections in Korea and Mexico Using Big Data — Jaehak Lee, Kyung Tae Hwang · The Academic Society of Global Business Administration (2024) | TGRS Research Map | TGRS