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Understanding Corruption through a Cross-National Comparison
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Understanding Corruption through a Cross-National Comparison
Zihua Liu
Department of Political Science
State University of New York at Buffalo
## email not listed ##
Abstract
Spurred by the creation of Corruption Perception Index (CPI) by Transparency
International (TI), recent studies have sought to explain why countries have different levels of corruption through large-N cross-national analyses. To further contribute to the understanding of the cross-national variations in corruption levels, this paper utilizes a large cross-sectional data set that is recently available to evaluate previous findings as well as testing Huntington’s theory regarding modernization and corruption. There are three major findings through an OLS regression. First, greater government intervention in the economy is associated with higher levels of corruption. Second, the relationship between democracy and corruption is polynomial. Democracy does not inhibit corruption and countries in transition from authoritarian regimes to democracies have higher levels of corruption, ceteris paribus. Third, the modernization hypothesis is moderately supported in the empirical test. Countries with faster developing economies tend to have higher levels of corruption, ceteris paribus.
Prepared for delivery at the 2005 Annual Meeting of the American Political Science Association, September 1-4, 2005. Copyright by the American Political Science Association.
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Understanding Corruption through a Cross-National Comparison
Zihua Liu
Department of Political Science
State University of New York at Buffalo
Abstract
Spurred by the creation of Corruption Perception Index (CPI) by Transparency
International (TI), recent studies have sought to explain why countries have different
levels of corruption through large-N cross-national analyses. To further contribute to the
understanding of the cross-national variations in corruption levels, this paper utilizes a
large cross-sectional data set that is recently available to evaluate previous findings as
well as testing Huntington’s theory regarding modernization and corruption. There are
three major findings through an OLS regression. First, greater government intervention in
the economy is associated with higher levels of corruption. Second, the relationship
between democracy and corruption is polynomial. Democracy does not inhibit corruption
and countries in transition from authoritarian regimes to democracies have higher levels
of corruption, ceteris paribus. Third, the modernization hypothesis is moderately
supported in the empirical test. Countries with faster developing economies tend to have
higher levels of corruption, ceteris paribus.
Prepared for delivery at the 2005 Annual Meeting of the American Political Science
Association, September 1-4, 2005. Copyright by the American Political Science
Association.
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