Rethinking the Determinants
- f Corruption in Post-
Communist Countries
Anna Grzymala-Busse Department of Political Science University of Michigan, Ann Arbor abusse@umich.edu
Rethinking the Determinants of Corruption in Post- Communist - - PowerPoint PPT Presentation
Rethinking the Determinants of Corruption in Post- Communist Countries Anna Grzymala-Busse Department of Political Science University of Michigan, Ann Arbor abusse@umich.edu Corruption Use of public goods for private benefit Elite vs.
Anna Grzymala-Busse Department of Political Science University of Michigan, Ann Arbor abusse@umich.edu
Corruption score: FH and TI Slovenia 2.55 Estonia 3.35 Poland 4.50 Hungary 4.75 Czech Republic 4.90 Lithuania 4.95 Latvia 5.10 Slovakia 5.25 Croatia 6.10 Bulgaria 6.15 Romania 6.50 Macedonia 6.80 Moldova 6.80 Belarus 7.00 Russia 7.25 Albania 7.40 Armenia 7.40 Georgia 7.40 Ukraine 7.80 Kyrgyzstan 7.95 Uzbekistan 8.00 Kazakhstan 8.05 Turkmen. 8.10 Tajikistan 8.15 Serbia 8.25 Azerbaijan 8.40
(Frye 2002, Orenstein 2001, Hellman 1998, Przeworski 1999, Grzymala-Busse 2003)
(Persson and Tabbellini 2000, Ades and diT ella 1997, Treisman 2000, Montinolla and Jackman 2002, Hellman and Kauffman 2001)
(Weingast 1995, Geddes and Neto 1992)
Bivariate correlations between corruption index and competition proxies, all post-communist cases: robust
fragment
ENPP gov't continuity
competition polarization volatility average excluded vote corrupt index Pearson Correlation
.476* .443
.540*
tailed) .000 .313 .596 .025 .050 .688 .740 .025 n 22 22 22 22 20 22 21 17 Bivariate correlations between corruption and competition proxies, democracies only robust
fragmen tation ENPP gov't continuity
competition polarization volatility average excluded vote corrupt index Pearson Correlatio n
.183 .358 .118 .117 .531*
tailed) .000 .122 .102 .497 .173 .664 .665 .034 n 16 16 16 16 16 16 16 16 ** Correlation is significant at the 0.01 level (2-tailed). * Correlation is significant at the 0.05 level (2-tailed).
Unweighted OLS regressions: corruption index as dependent variable 1 2: 3: 4 Robust Opposition
(.147)
(.130)
(.111)
(.156)
Fragmentation
(2.87)
(2.35)
Excluded vote .026 (.13) .130 .025 (.029) .127 Continuity in
.134 (1.64) .014 .799 (1.37) .083 Polarization .197 (.026) .106 .023 (.022) .127 Volatility .0024 (.027) .001 .009 (.022) .053 % seats elected via party lists
(.721)
.019 (.861) .005 1993 fuel / metal exports as % total exports .009 (.011) .124 .011 (.022)
% Protestant
(.012)
.028* (.015)
Log per capita GDP/PPP 2000
(.350)**
Log per capita GDP/PPP 1990
(.761)
Constant 10.99*** (2.28) 11.02*** (1.86) 17.40*** (2.59) 14.96** (5.934) Adjusted R2 .743 .829 .811 .630 N 25 24 24 24