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Is it the gums, teeth or the bite? Effectiveness of dimensions of enforcement in curbing corruption

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Abstract

Adding a somewhat new dimension to the substantial body of research on factors driving cross-national corruption, this paper examines the effectiveness of dimensions of enforcement in reducing corruption. The main novelty lies in comparing the relative influences of latent enforcement (police, judicial, and prosecutorial employment) versus actual enforcement (conviction rates) and enforcing institutions. Results show that piecemeal enforcement efforts to combat corruption by increasing enforcement employment would not be effective, rather comprehensive improvements in institutional quality by strengthening the rule of law or regulatory quality bear greater results. These findings are robust across indices of corruption that capture somewhat different aspects. Thus, in terms of the title of the paper, when it comes to corruption control, strong gums (institutions) are more effective than showing teeth (enforcement employment) or the bite (conviction rates).

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Notes

  1. Another dimension of bite would be the length or severity of punishment. However, given the presence of plea bargains and monetary and non-monetary punishments, that information is almost impossible to obtain for individual nations, let alone a cross-section of nations.

  2. See Chalfin and McCrary (2017) for a thorough overview of the literature on crime deterrence.

  3. Here ALLenforce = POLICE + JUDGES + PROSECUTORS.

  4. Studying the case of corruption related to diplomatic parking tickets, Fisman and Miguel (2007) note the role of culture and enforcement.

  5. This lack of significance of conviction rates might have partly to do with the fact that our measure of convictions includes all crimes and is not limited to corruption cases (see Table 1 for details).

  6. Given that institutions such as those captured by law and order and rule of law change slowly overtime, they are less susceptible to this simultaneity bias.

  7. Given the multidimensional nature of corruption, finding good instruments has been challenging in the literature. The use of rail network seems appropriate and is likely unique.

  8. Others have also used lagged endogenous variables as instruments while estimating the effects of corruption, for example, Jetter and Parmeter (2018) and Bhattacharyya and Hodler (2010).

  9. The consideration of models without GDP also makes the results potentially more applicable to all nations—developed and developing alike.

  10. Using data across U.S. states and employing conviction rates to denote corruption, Goel and Nelson (1998) found police employment and some types of judicial employment to lower corruption.

  11. One should bear in mind that the conviction rate variable is broad, applying to all crimes and not just corruption (see Table 1).

  12. Appropriate caution is advised in interpreting relative magnitudes based on indices.

  13. A potential criticism of this work may be that the main findings are based on cross-sectional data. While corruption and many other variables are available for a number of years across countries, the limiting factor preventing a panel data analysis is the availability of comparable law enforcement and conviction variables across countries over time.

References

  • Aidt TS (2003) Economic analysis of corruption: a survey. Econ J 113(491):F632–F652

    Article  Google Scholar 

  • Alesina A, Devleeschauwer A, Easterly W, Kurlat S, Wacziarg R (2003) Fractionalization. J Econ Growth 8(2):155–194

    Article  Google Scholar 

  • Alt JE, Lassen DD (2014) Enforcement and public corruption: evidence from the American states. J Law Econ Organ 30(2):306–338

    Article  Google Scholar 

  • Anechiarico F, Jacobs JB (1994) Visions of corruption control and the evolution of American public administration. Public Adm Rev 54(5):465–473

    Article  Google Scholar 

  • Bac M, Bag P (2006) Beneficial collusion in corruption control: the case of nonmonetary penalties. J Dev Econ 81(2):478–499

    Article  Google Scholar 

  • Banerjee AV (1997) A theory of misgovernance. Q J Econ 112(4):1289–1332

    Article  Google Scholar 

  • Bardhan P (1997) Corruption and development: a review of issues. J Econ Lit 35(3):1320–1346

    Google Scholar 

  • Bazzi S, Clemens MA (2013) Blunt instruments: avoiding common pitfalls in identifying the causes of economic growth. Am Econ J Macroecon 5(2):152–186

    Article  Google Scholar 

  • Becker GS (1968) Crime and punishment: an economic approach. J Polit Econ 76(2):169–217

    Article  Google Scholar 

  • Becker GS, Stigler GJ (1974) Law enforcement, malfeasance, and compensation of enforcers. J Legal Stud 3(1):1–18

    Article  Google Scholar 

  • Berggren N, Nilsson T (2015) Globalization and the transmission of social values: the case of tolerance. J Comp Econ 43(2):371–389

    Article  Google Scholar 

  • Bergh A, Nilsson T (2014) Is globalization reducing absolute poverty? World Dev 62(1):42–61

    Article  Google Scholar 

  • Bhattacharyya S, Hodler R (2010) Natural resources, democracy and corruption. Eur Econ Rev 54(4):608–621

    Article  Google Scholar 

  • Burlando A, Motta A (2016) Legalize, tax, and deter: optimal enforcement policies for corruptible officials. J Dev Econ 118(C):207–215

    Article  Google Scholar 

  • Cameron AC, Trivedi PK (1990) The information matrix test and its applied alternative hypotheses. Working Paper 372, University of California-Davis, Institute of Governmental Affairs

  • Capasso S, Santoro L (2018) Active and passive corruption: theory and evidence. Eur J Polit Econ 52(C):103–119

    Article  Google Scholar 

  • Chalfin A, McCrary J (2017) Criminal deterrence: a review of the literature. J Econ Lit 55(1):5–48

    Article  Google Scholar 

  • Dimant E, Tosato G (2018) Causes and effects of corruption: what has past decade’s empirical research taught us? A survey. J Econ Surv 32(2):335–356

    Article  Google Scholar 

  • Fisman R, Miguel E (2007) Corruption, norms, and legal enforcement: evidence from diplomatic parking tickets. J Polit Econ 115(6):1020–1048

    Article  Google Scholar 

  • Friehe T, Miceli T (2016) On punishment severity and crime rates. Working Paper No. 2016-38. Department of Economics, University of Connecticut

  • Garoupa N, Klerman DM (2010) Corruption and private law enforcement: theory and history. Review of Law & Economics 6(1):75–96. https://doi.org/10.2202/1555-5879.1394

    Article  Google Scholar 

  • Goel RK, Nelson MA (1998) Corruption and government size: a disaggregated analysis. Pub Ch 97(1–2):107–120

    Article  Google Scholar 

  • Goel RK, Nelson MA (2010) Causes of corruption: history, geography and government. J Policy Model 32(4):433–447

    Article  Google Scholar 

  • Goel RK, Nelson MA (2011) Measures of corruption and determinants of U.S. corruption. Econ Gov 12(2):155–176

    Article  Google Scholar 

  • Goel RK, Rich DP (1989) On the economic incentives for taking bribes. Pub Ch 61(3):269–275

    Article  Google Scholar 

  • Goel RK, Mazhar U, Nelson MA (2016) Corruption across government occupations: cross-national survey evidence. J Int Dev 28(8):1220–1234

    Article  Google Scholar 

  • Jetter M, Parmeter CF (2018) Sorting through global corruption determinants: institutions and education matter—not culture. World Dev 109(C):279–294

    Article  Google Scholar 

  • Kaufmann D, Kraay A, Mastruzzi M (2010) The worldwide governance indicators: a summary of methodology, data and analytical issues. World Bank Policy Research Working Paper No. 5430. http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1682130. Accessed Dec 2017

  • La Porta R, Lopez-de-Silanes F, Shleifer A, Vishny R (1999) The quality of government. J Law Econ Organ 15(1):222–279

    Article  Google Scholar 

  • Lambsdorff JG (2006) Causes and consequences of corruption: what do we know from a cross section of countries? In: Rose-Ackerman S (ed) International handbook on the economics of corruption. Edward Elgar Publishing, Cheltenham, pp 3–51

    Google Scholar 

  • Marshall MG, Gurr TR, Jaggers K (2016) Polity IV project: political regime authority characteristics and transitions 1800–2015. http://www.systemicpeace.org/inscrdata.html. Accessed Dec 2017

  • Mookherjee D, Png I (1995) Corruptible law enforcers: how should they be compensated? Econ J 105(428):145–159

    Article  Google Scholar 

  • Paldam M (2002) The cross-country pattern of corruption: economics, culture and the seesaw dynamics. Eur J Polit Econ 18(2):215–240

    Article  Google Scholar 

  • Polinsky AM, Shavell S (2001) Corruption and optimal law enforcement. J Public Econ 81(1):1–24

    Article  Google Scholar 

  • Priks M (2011) Judiciaries in corrupt societies. Econ Gov 12(1):75–88

    Article  Google Scholar 

  • Rose-Ackerman S (1999) Corruption and government. Cambridge University Press, Cambridge

    Book  Google Scholar 

  • Seldadyo H, de Haan J (2006) The determinants of corruption: a literature survey and new evidence. In: European public choice society meetings, Finland

  • Shi S, Temzelides T (2004) A search-theoretic model of bureaucracy and corruption. Int Econ Rev 45(3):873–908

    Article  Google Scholar 

  • Shleifer A, Vishny RW (1993) Corruption. Q J Econ 108(3):599–617

    Article  Google Scholar 

  • Shleifer A, Vishny RW (2002) The grabbing hand. Harvard University Press, Cambridge

    Google Scholar 

  • Stock JH, Yogo M (2005) Testing for weak instruments in linear IV regression. In: Andrews DWK, Stock JH (eds) Identification and Inference for Econometric Models: Essays in Honor of Thomas Rothenberg. Cambridge University Press, Cambridge, pp 80–108

  • Svensson J (2005) Eight questions about corruption. J Econ Perspect 19(3):19–42

    Article  Google Scholar 

  • The PRS Group (2016) International Country Risk Guide (ICRG). http://www.prsgroup.com/about-us/our-two-methodologies/icrg. Accessed May 2016

  • Treisman D (2000) The causes of corruption: a cross-national study. J Public Econ 76(3):399–457

    Article  Google Scholar 

  • Treisman D (2007) What have we learned about the causes of corruption from ten years of cross national empirical research? Annu Rev Polit Sci 10:211–244

    Article  Google Scholar 

  • United Nations Office on Drugs and Crime (UNODC) (2010) International statistics on crime and justice. In: Harrendorf S, Heiskanen M, Malby S (eds) HEUNI Publication Series No. 64. https://www.unodc.org/documents/data-and-analysis/Crime-statistics/International_Statistics_on_Crime_and_Justice.pdf. Accessed Dec 2017

  • World Bank (2016) World Development Indicators, The Word Bank, https://data.worldbank.org/data-catalog/world-development-indicators. Accessed Apr 2016

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Correspondence to James W. Saunoris.

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The authors’ names appear in alphabetical order and no seniority of authorship is implied. An earlier version of this paper was circulated as a CESifo working paper #7316. Capasso thanks the University of Naples Parthenope for funding received for the Competitive Research Project: “Institutional and Economic Imbalances in the Eurozone and the European Union”.

Appendix

Appendix

Table 5a First-stage results from Table 5
Table 5b Reduced-form results from Table 5
Table 6a First-stage results from Table 6
Table 6b Reduced-form results from Table 6
Table 7a First-stage results from Table 7
Table 7b Reduced-form results from Table 7
Table 8a First-stage results from Table 8
Table 8b Reduced-form results from Table 8
Table 5c Effectiveness of enforcement (“teeth”) in curbing corruption: accounting for possible two-way causality—dropping GDP as a regressor
Table 6c Effectiveness of convictions (“bite”) and institutions (“gums”) in curbing corruption: accounting for possible two-way causality—dropping GDP as a regressor

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Capasso, S., Goel, R.K. & Saunoris, J.W. Is it the gums, teeth or the bite? Effectiveness of dimensions of enforcement in curbing corruption. Econ Gov 20, 329–369 (2019). https://doi.org/10.1007/s10101-019-00228-0

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