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TianQi is a junior double majoring in Political Science and Economics. He is from Beijing China. His long term plans include attending graduate school to further his education in the area of political science.

TianQi Xu

Graduation Year: 2010
Major: Political Science and Economics

Capstone Topic:
The Determinants of Political Instability in the World: A Cross–Sectional Study

TianQi is a junior double majoring in Political Science and Economics. He is from Beijing China. Given that he has another year before he graduates from Marietta, TianQi is hoping to take his capstone project to the next level and develop it into an honors thesis. TianQi’s long term plans include attending graduate school to further his education in the area of political science.

TianQi’s paper is titled “The Determinants of Political Instability in the World: A Cross–Sectional Study”. In his study, TianQi applies both economic and political science theories to develop an empirical model aiming to explain why some nations are politically more stable than others. Specifically, his empirical research is focused on the determinants of political instability across 101 nations in the year 2006. The list of the independent variables included in TianQi’s model consists of a few economic variables such as GDP, GDP growth rate, Gini index, Inflation. There are also a few social demo-graphic variables in TinaQi’s empirical equation. These variables are a measure of the education level of the population, the Population growth rate, the percentage of population living in urban areas, as well as a measure of the numbers of internet users in each nation. The political variables that are included in TianQi’s empirical equation include a measure of the level of democracy, and regional dummies for Middle Eastern, African, and Latin American nations.

TianQi presents his capstone paper.

Abstract

This study focuses on the determinants of political instability by using State Fragility Index as the measure of political instability. The study examines the effect of economic variables, social demographic variables and political variables on political instability across 101 countries, using OLS estimation method of estimation. Findings of this study suggest that the population growth rate increases the level of political instability significantly. On the other hand, the effect of the percentage of population living in urban areas, the number of internet users per thousand populations, and the degree of democracy on a nation’s political instability is negative and significant. Moreover, I find that in mid 2000s, African and Latin American nations were more stable than others. This study finds no significant correlation between the level of economic health and development of a nation, or the level of education of its residents, and its political stability.

 
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