Upload
crystal-little
View
219
Download
0
Embed Size (px)
DESCRIPTION
Anti Corruptions Programmes Anti Corruptions Programme Anti Corruptions Act 1999 & 2001 Corruptions Erradication Committee (KPK) 2004 Financial Transaction Centre (PPATK) 2005 Asset Recovery Act (under review)
Citation preview
Do Corruptions Pay?Do Corruptions Pay?
Rimawan Pradiptyo, PhD (York, UK)Faculty of Economics and Business
Universitas Gadjah MadaIndonesia
Seminar KagamaCanberra 15 February 2011
OutlineOutlineEvaluation of supreme court’s decisions in
Indonesia for corruption cases 2001-2009Data: 549 corruption cases involving 831
defendantsApproach: Becker’s (1968) model on
deterrence theoryEvaluation methods:
◦Logistic regression: estimating the probability of various types of punishment
◦Tobin logistic regression: estimating the intensity of various types of punishment
Anti Corruptions Anti Corruptions ProgrammesProgrammes
Power Shifting Pre & Post Power Shifting Pre & Post ReformationReformationDuring Suharto’s
Regime Post Suharto’s Regime
Rimawan Pradiptyo, FEB-Universitas Gadjah Mada , Indonesia
Corruption and Money LaunderingCorruption and Money Laundering
5Rimawan Pradiptyo, FEB-Universitas Gadjah Mada , Indonesia
‘‘MARKUS’ (Makelar Kasus / Case MARKUS’ (Makelar Kasus / Case Brokers)Brokers)The MARKUS has been flourished in
Indonesia’s judicial system◦Criminal Courts◦Civil Courts (e.g Taxation)◦State Administration Courts
The MARKUS involves: police, prosecutors, judges, government officers, prison officers, etc
Implications:◦Increasing error types I and II◦Extortions have been flourished
24 Ways of Extortion in the Judicial 24 Ways of Extortion in the Judicial SystemSystem
The majority come from low income and low education background
In many cases they offenced due to fulfilling necesities
In many cases offenders were victims of bullying or crimes (Bowles & Pradiptyo, 2005)
Offending behaviour is age sensitive (Bowles and Pradiptyo, 2005)
The detection rate tend to be high
They come from high income and high education backgrounds
The offending behaviour is not age sensitive
The use of sophisticated techniques which may be difficult to prove it
The use of power to prevent investigation
The detection rate tend to be lower
Conventional Offenders Corruptors
8Rimawan Pradiptyo FEB-UGM
ANTI CORRUPTION ANTI CORRUPTION ACTACT
10
Definition of Corruptions According to the Anti Definition of Corruptions According to the Anti Corruption ActCorruption Act
Article 2 (Break of Law)- Against the law;
- Aims to make him/herself or other parties or corporation
richerIndividual
Or corporation
Whom inflicted losses over economy or
National budget
Article 3 (Abuse of Power)- Abusing of the power, opportunity or facilities that entitle to a person owing to
his/her positions;- Aims to make him/herself or
other parties or corporation richer
Source: Dr Haryono Umar (2009)
Problem with the DefinitionProblem with the DefinitionProsecutors and judges have only taken into
consideration explicit costs of corruptionsIdealy the costs of corruptions should be
comprised explicit and implicit costs of corruptions
Implication: promoting error types I and II Brand and Price (2000) social costs of
crime:◦Costs in anticipation of crime◦Costs of the consequence of crime◦Costs in reaction to crime
Anti Corruption ActAnti Corruption ActIt was ratified in 1999 & ammended in
2001This is a specialised act which is quite
different from Indonesia’s Criminal Code (KUHP) which is based on the Dutch Criminal Code 1811
It listed the type of corruptions and their punishments literally◦Max. fines: Rp 1 Billion (US$100,000)◦Max. Imprisonment: 20 years◦Rp50 billion of fines ≈ 1 year imprisonment◦High Inflation rate: 2000-2009 = about 100%
(GDP Deflator) Rimawan Pradiptyo, FEB-Universitas Gadjah Mada , Indonesia
Punishment in Anti Corruptions Punishment in Anti Corruptions ActActChapter
Costs of Corruptions
Types of Corruptions
Fines Imprisonment
Ch 5 Rp 5 million - Rp∞
Bribery to civil servants
Rp 50-250 million
1-5 years
Ch 6 Rp 5 million - Rp∞
Bribery to judges, prosecutors and judicial staff
Rp 150-750 million
3-15 years
Ch 8 Rp 5 million – Rp∞
Embezzlement by Civil Servants
Rp 150 – 750 million
3-15 years
Ch 12 Rp 5 million - Rp∞
Corruptions by Civil Servants
Rp 200 million – Rp 1 billion
4-20 years
13Rimawan Pradiptyo FEB-UGM
Potential ProblemsPotential ProblemsAs Indonesia follows continental penal
law, all punishments and their intensities should be stated clearly
Inflation rate in Indonesia is quite high (from 2000-2009 the inflation rate reached 100%)◦Any value of fines in 1999 only worth 50%
from the original value (the deterrence effect is questionable)
Selfish corruptors against altruistic criminal justice system.
Dual SystemDual SystemPolice and Public Prosecutors Corruption Eradication Committee
(KPK)Deal only with cases
worth less than Rp 1 Billion ($100,000)
Police and Prosecutors have limited power to intercept any phone and emails communications among suspect
The evidence brought before trials usually is not as strong as the KPK’s
KPK is an ad hoc institution consisting police and professionals.
Deal with all cases worth Rp 1 Billion ($100,000) or above
KPK has rights to intercept any phone and email communication without court consent.
Many high profile cases were solved using the methods
Rimawan Pradiptyo, FEB-Universitas Gadjah Mada , Indonesia
CRIMINAL JUSTICE CRIMINAL JUSTICE SYSTEM IN SYSTEM IN INDONESIAINDONESIA
Appeal System in Appeal System in IndonesiaIndonesia
Rimawan Pradiptyo, FEB-Universitas Gadjah Mada , Indonesia
The Number of Cases The Number of Cases AppealedAppealed
Other Countries Indonesia
Rimawan Pradiptyo, FEB-Universitas Gadjah Mada , Indonesia
Type of PunishmentsType of PunishmentsImprisonmentProbationFines
◦Subsidairy to Fines (Asset recovery or imprisonment)
Compensation order◦Subsidairy to compensation (asset recovery or
imprisonment)Seizure of evidence (monetary and non
monetary)Court costs (negligible)Other sentence (negligible)Financial Punishment = (Fines +
Compensation + seizure of evidence (monetary only))
Rimawan Pradiptyo, FEB-Universitas Gadjah Mada , Indonesia
ASSESSMENT OF ASSESSMENT OF COURT DECISIONS COURT DECISIONS ON CORRUPTIONSON CORRUPTIONS
DataData
Rimawan Pradiptyo, FEB-Universitas Gadjah Mada , Indonesia
DATA (con’t)DATA (con’t)
Rimawan Pradiptyo, FEB-Universitas Gadjah Mada , Indonesia
The Underlying Number of The Underlying Number of CorruptionsCorruptions
Rimawan Pradiptyo, FEB-Universitas Gadjah Mada , Indonesia
Sources of Unobserved Sources of Unobserved HeterogeneityHeterogeneity
The data are based on the supreme court decisions◦The number of cases terminated in
district courts is unknown (unsolved)◦The number of cases terminated in high
courts is unknown (unsolved)◦The number of cases reported to Police is
unknown (unsolved)◦Some appeals went through high courts
(being accommodated in the model)Rimawan Pradiptyo, FEB-Universitas Gadjah Mada , Indonesia
The Social Costs of The Social Costs of Corruptions Corruptions
Rimawan Pradiptyo, FEB-Universitas Gadjah Mada , Indonesia
Explicit Cost-Financial Punishment Explicit Cost-Financial Punishment Prosecuted Ratio (Real Price 2008)Prosecuted Ratio (Real Price 2008)
Scale of Corruptions Number of
DefendantsExplicit Cost of Corruptions [A]
Total Financial Punishment Prosecuted[B] B:A
Petty 38 $24,800 Rp270,000 1072.1%
Small 199 $980,000 $1,81 million 184.9%
Medium 344 $14.25 million $15.49 million 108.7%
Large 201 $101 million $78.73 million 78.2%
Grand 45 $375.89 Billion $3.244 Billion 0.9%
Total 827 $376 Billion $3.340 Billion 0.9%Rimawan Pradiptyo, FEB-Universitas Gadjah Mada , Indonesia
Explicit Cost-Financial Punishment Explicit Cost-Financial Punishment Sentenced Ratio(Current Price)Sentenced Ratio(Current Price)
Scale of Corruptions
Number of Offenders
Explicit Cost of Corruptions
Explicit Cost/Financial Punishment Prosecuted (%)
Social Cost/Financial Punishment Sentenced by Supreme Court
Petty 22 $9,340 1800.3% 1234.8%
Small 128 $510,000 186.6% 375.8%
Medium 240 $8.48 million 120.9% 86.3%
Large 122 $62.19 million 65.1% 48.1%
Grand 30 $5.809 billion 39.7% 6.8%
Total 542 $5.881 billion 40.1% 7.4%Rimawan Pradiptyo, FEB-Universitas Gadjah Mada , Indonesia
Explicit Cost-Financial Punishment Explicit Cost-Financial Punishment Sentenced Ratio(Real Price 2008)Sentenced Ratio(Real Price 2008)
Scale of Corruptions
Number of Offenders
Explicit cost Explicit Cost/Financial Punishment Prosecuted (%)
Explicit Cost/Financial Punishment Sentenced by Supreme Court
Petty 22 $10,840 1682.2% 1141.3%
Small 128 $630,000 183.2% 401.1%
Medium 240 $10.13 million 118.6% 88.9%Large 122 $73.55 million 65.6% 49.4%Grand 30 $7.22 billion 44.0% 6.7%Total 542 $7.31 billion 44.4% 7.3%
Rimawan Pradiptyo, FEB-Universitas Gadjah Mada , Indonesia
Why is the pie shrinking to Why is the pie shrinking to fast?fast?
100% 40%
Rimawan Pradiptyo, FEB-Universitas Gadjah Mada , Indonesia
Average Imprisonment Prosecuted Average Imprisonment Prosecuted vs Sentencedvs Sentenced
Scale of Corruptions
Average Alleged Imprisonment (month) [A]
Average Imprisonment Sentenced (month) [B] B:A (%)
Petty 22.3 13.7 61.4%
Small 21.6 15.2 70.3%
Medium 53.2 32.8 61.6%
Large 79.0 43.5 55.0%
Grand 115.7 58.0 50.1%
Total 53.8 31.7 58.8%
Rimawan Pradiptyo, FEB-Universitas Gadjah Mada , Indonesia
LOGISTIC AND LOGISTIC AND TOBIN’S LOGIT TOBIN’S LOGIT (TOBIT) (TOBIT) REGRESSIONSREGRESSIONS
Assessment of Court DecisionsAssessment of Court DecisionsHypothesis: Types and intensity of
punishment = f(social cost of crime)Logistic Regressions:
◦Prob (type of sentences) = f(criminogenic factors, social cost, etc)
TOBIT (Tobin’s Logistic) Regressions:◦Intensity of sentence = f(criminogenic
factors, social cost, etc)
Rimawan Pradiptyo, FEB-Universitas Gadjah Mada , Indonesia
Probability of Conviction Probability of Conviction (n=811)(n=811)VARIABLES PROBABILITY
Gender 0.835Age 0.110Explicit Cost of Corruption_Nominal 0.922D_Jawa* 0.074D_GreaterJakarta 0.843D_State-Own Enterprise Employee*** 0.000D_Member of Parliament* 0.096D_Private Sector 0.206D_Grand Corruption 0.745D_Large Corruption 0.362D_Small Corruption 0.921D_Petty Corruption 0.576D_Guilty_Distric Court*** 0.004D_Appeal_High Court 0.584D_JudicialReview*** 0.000Rimawan Pradiptyo, FEB-Universitas Gadjah
Mada , Indonesia
LOGIT (Fines) TOBIT (Fines)
Gender 0.7496Age 0.4905Explicit Cost 0.3908D_Jawa* 0.0842D_GreaterJakarta 0.1963D_SOE Employee 0.0865D_Member of Parliament 0.1479D_Private Sector 0.8366D_Grand Corruption 1D_Large Corruption*** 0.038D_Small Corruption* 0.098D_Petty Corruption 0.656D_Fines_DC*** 0.000D_Appeal_HC 0.103D_Judicial_Review 0.873
Rimawan Pradiptyo, FEB-Universitas Gadjah Mada , Indonesia
Gender 0.400Age 0.498Explicit Cost 0.241D_Jawa 0.289D_GreaterJakarta 0.132D_SOE Employee 0.806D_Member of Parliament 0.523D_Private Sector** 0.029D_Grand Corruption*** 0.000D_Large Corruption*** 0.004D_Small Corruption*** 0.006D_Petty Corruption 0.150Ln(DC_Fines)*** 0.000D_Appeal_HC** 0.018D_JudicialReview 0.257
LOGIT (Subsidiary to Fines) TOBIT (Subsidiary to Fines)
Gender 0.964Age 0.482Explicit Cost 0.343D_Jawa* 0.093D_GreaterJakarta 0.177D_SOE Employee 0.109D_Member of Parliament* 0.087D_Private Sector 0.740D_Grand Corruption 1D_Large Corruption** 0.041D_Small Corruption* 0.073D_Petty Corruption 0.408D_Fines_Subs_DC*** 0.000D_Appeal_High Courts 0.141D_Judicial_Review 0.867
Rimawan Pradiptyo, FEB-Universitas Gadjah Mada , Indonesia
Gender 0.419LN(Age) 0.806LN(SocCost) 0.232D_Jawa 0.571D_GreaterJakarta*** 0.005D_SOE Employee 0.181D_Member of Parliament 0.740D_Private Sector 0.152D_Grand Corruption*** 0.000D_Large Corruption 0.172D_Small Corruption*** 0.000D_Petty Corruption*** 0.007DC_Fines_Subs*** 0.000D_Appeal_High Court** 0.013D_Judicial_Review 0.369
LOGIT (Compensation Order) TOBIT (Compensation Order)
Gender 0.426Age 0.539Explicit Cost 0.301D_Jawa** 0.023D_GreaterJakarta** 0.014D_SOE Employee 0.252D_Member of Parliament 0.564D_Private Sector** 0.047D_Grand Corruption** 0.027D_Large Corruption 0.135D_Small Corruption 0.161D_Petty Corruption 0.536D_Compensation_DC*** 0.000D_Appeal_High Court** 0.033D_Judicial_Review 0.449
Rimawan Pradiptyo, FEB-Universitas Gadjah Mada , Indonesia
Gender 0.806Age 0.118Explicit Cost 0.927D_Jawa 0.346D_GreaterJakarta 0.134D_SOE Employee 0.916D_Member of Parliament 0.508D_Private Sector 0.445D_Grand Corruption*** 0.000D_Large Corruption 0.482D_Small Corruption 0.995D_Petty Corruption 0.903DC_Compensation*** 0.000D_Appeal_High Court 0.721D_Judicial_Review** 0.035
LOGIT (Subsidiary to Compensation) TOBIT (Subsidiary to Compensation)
Gender 0.171Age 0.946Explicit Cost 0.591D_Jawa 0.312D_GreaterJakarta 0.234D_SOE Employee 0.266D_Member of parliament 0.000D_Private Sector 0.189D_Grand Corruption 0.164D_Large Corruption 0.689D_Small Corruption 0.146D_Petty Corruption 0.222D_Compensation_Subs_DC 0.755D_Appeal_High Courts*** 0.000D_JudicialReview 0.229
Rimawan Pradiptyo, FEB-Universitas Gadjah Mada , Indonesia
Gender 0.846Age 0.961Explicit Cost 0.164D_Jawa 0.806D_GreaterJakarta 0.621D_SOE Employee 0.447D_Member of Parliament 0.889D_Private Sector 0.454D_Grand Corruption 0.617D_Large Corruption 0.220D_Small Corruption 0.303D_Petty Corruption 0.329DC_Compensation_Sub 0.759D_Appeal_HC 0.977D_JudicialReview 0.170
Intensity of Financial Intensity of Financial PunishmentPunishmentVARIABLES PROBABILITY
Gender 0.865Age 0.960Explicit Cost 0.714D_Jawa 0.734D_GreaterJakarta 0.217D_SOE Employee 0.802D_Member of Parliament 0.915D_Private Sector 0.579D_Grand Corruption 0.231D_Large Corruption 0.950D_Small Corruption 0.886D_Petty Corruption 0.751DC_Financial Punishment *** 0.000D_Appeal_HC** 0.061D_Judicial_Review 0.177Rimawan Pradiptyo, FEB-Universitas Gadjah
Mada , Indonesia
LOGIT (Imprisonment) TOBIT (Imprisonment)
Gender 0.795Age 0.533Explicit Cost 0.157D_Jawa 0.641D_GreaterJakarta 0.546D_SOE Employee 0.210D_Member of Parliament 0.764D_Private Sector 0.915D_Grand Corruption 1D_Large Corruption 0.033D_Small Corruption 0.320D_Petty Corruption 0.309DC_Imprisonment 0.283D_Appeal_HC 0.264D_Judicial_Review* 0.071
Rimawan Pradiptyo, FEB-Universitas Gadjah Mada , Indonesia
Gender 0.458Age*** 0.008Explicit Cost 0.222D_Jawa 0.918D_GreaterJakarta 0.796D_SOE Employee 0.178D_Member of Parliament** 0.042D_Private Sector 0.172D_Grand Corruption 0.381D_Large Corruption 0.320D_Small Corruption* 0.057D_Petty Corruption 0.182DC_Imprisonment*** 0.000D_Appeal_HC 0.179D_Judicial_Review 0.173
LOGIT (Parole) TOBIT (Parole)
Gender 0.670Age 0.919Explicit Cost 0.128D_Jawa 0.860D_GreaterJakarta 0.358D_SOE Employee 0.922D_Member of Parliament 0.261D_Private Sector 0.998D_Grand Corruption*** 0.001D_Large Corruption** 0.021D_Small Corruption 0.171D_Petty Corruption 0.886DC_Parole_YN 0.676D_Appeal_HC 0.158D_Judicial_Review 0.287
Rimawan Pradiptyo, FEB-Universitas Gadjah Mada , Indonesia
Gender 0.748Age 0.751Explicit Cost*** 0.001D_Jawa 0.421D_GreaterJakarta 0.439D_SOE Employee 0.114D_Member of Parliament 0.155D_Private Sector 0.423D_Grand Corruption*** 0.000D_Large Corruption 1.000D_Small Corruption 0.305D_Petty Corruption* 0.072DC_Parole*** 0.002D_Appeal_HC 0.150D_Judicial_Review** 0.043
ConclusionsConclusionsProsecutors and Judges tend to be harser
toward petty, small and medium corruptorsThe probabilities and intensities of
receiving punishments do not depend on the social cost of corruptions
The deterrence effect of the punishments are questionable
Prosecutors and judges have created burden to tax payers as they tend to be lenienced toward large and huge scales of corruptors
Rimawan Pradiptyo, FEB-Universitas Gadjah Mada , Indonesia
Thank YouThank You