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Understanding Corruption through a Cross-National Comparison

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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 Huntingtons 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.

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corrupt (209), countri (72), level (67), govern (53), democraci (47), polit (39), public (36), develop (35), freedom (34), econom (34), modern (34), 2004 (31), measur (29), higher (28), economi (24), 2002 (22), offici (21), signific (21), montinola (20), cpi (20), jackman (20),

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corruption
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Liu, Zihua. "Understanding Corruption through a Cross-National Comparison" Paper presented at the annual meeting of the American Political Science Association, Marriott Wardman Park, Omni Shoreham, Washington Hilton, Washington, DC, Sep 01, 2005 <Not Available>. 2011-03-14 <http://www.allacademic.com/meta/p40380_index.html>

APA Citation:

Liu, Z. , 2005-09-01 "Understanding Corruption through a Cross-National Comparison" Paper presented at the annual meeting of the American Political Science Association, Marriott Wardman Park, Omni Shoreham, Washington Hilton, Washington, DC Online <PDF>. 2011-03-14 from http://www.allacademic.com/meta/p40380_index.html

Publication Type: Conference Paper/Unpublished Manuscript
Review Method: Peer Reviewed
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 Huntingtons 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.

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Associated Document Available Political Research Online

Document Type: PDF
Page count: 18
Word count: 7125
Text sample:
Understanding Corruption through a Cross-National Comparison Zihua Liu Department of Political Science State University of New York at Buffalo zihualiu@buffalo.edu 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
of Economics CIX: 599-617. Sosa Luis A. 2004. “Wages and Other Determinants of Corruption”. Review of Development Economics 8(4): 597-605. Treisman Daniel. 2000. “The Causes of Corruption: A Cross-national Study”. Journal of Public Economics 76: 399-457. Van Rijckeghem Caroline and Beatrice Weder. 2001. “Bureaucratic Corruption and the Rate of Temptation: Do Wages in the Civil Service Affect Corruption and By How Much?” Journal of Development Economics 65:307–31. Vanhanen Tatu. 1997. Prospects of Democracy: A Study of 172 Countries. London/New


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