IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/36900.html
   My bibliography  Save this paper

Fighting corruption in Africa: do existing corruption-control levels matter?

Author

Listed:
  • Simplice A, Asongu

Abstract

Purpose – Are there different determinants in the fight against corruption across African countries? Why are some countries more effective at battling corruption than others? To assess these concerns we examine the determinants of corruption-control throughout the conditional distribution of the fight against corruption using panel data from 46 African countries for the period 2002-2010. Design/methodology/approach – The panel quantile regression technique enables us to investigate if the relationship between corruption-control and the exogenous variables differs throughout the distribution of the fight against corruption. Findings – Results could be summarized in the following. (1) Greater economic prosperity leads to less corruption-control and the magnitude of the effect is more important in countries where the fight against corruption is high. (2) Regulation quality seems bimodal, with less positive effects in the tails: among the best and least fighters of corruption. (3) There is support for a less negative consequence of population growth in countries that are already taking the fight against corruption seriously in comparison to those that are lax on the issue. (4) Findings on democracy broadly indicate the democratization process increases the fight against corruption with a greater magnitude at higher quantiles: countries that are already taking the fight seriously. (5) The relevance of voice and accountability in the battle against corruption decreases as corruption-control is taking more seriously by the powers that be. (6) Good governance dynamics of political stability, government effectiveness and the rule of law gain more importance in the fight against corruption when existing levels of corruption-control are already high. Social implications – Our results suggest that the determinants of corruption-control respond differently across the corruption-control distribution. This implies some current corruption-control policies may be reconsidered, especially among the most corrupt and least corrupt African nations. As a policy implication, the fight against corruption should not be postponed, doing so will only reduce the effectiveness of policies in the future. The rewards of institutional reforms are more positive in countries that are already seriously engaged in the corruption fight. Originality/value – This paper contributes to existing literature on the determinants of corruption by focusing on the distribution of the dependent variable(control of corruption). It is likely that good and poor corruption fighters respond differently to factors that influence the fight against corruption. There are subtle institutional differences between corrupt and clean nations that may affect corruption-control determinants and government efficacy in the fight against corruption.

Suggested Citation

  • Simplice A, Asongu, 2012. "Fighting corruption in Africa: do existing corruption-control levels matter?," MPRA Paper 36900, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:36900
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/36900/1/MPRA_paper_36900.pdf
    File Function: original version
    Download Restriction: no
    File URL: https://mpra.ub.uni-muenchen.de/41194/1/MPRA_paper_41194.pdf
    File Function: revised version
    Download Restriction: no
    File URL: https://mpra.ub.uni-muenchen.de/41194/2/Fighting_corruption_in_Africa._Do_Exisiting_corruption_control_levels_matter.pdf
    File Function: revised version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Rajeev K. Goel & Michael A. Nelson, 2005. "Economic Freedom Versus Political Freedom: Cross‐Country Influences On Corruption," Australian Economic Papers, Wiley Blackwell, vol. 44(2), pages 121-133, June.
    2. Gary S. Becker, 1974. "Crime and Punishment: An Economic Approach," NBER Chapters, in: Essays in the Economics of Crime and Punishment, pages 1-54, National Bureau of Economic Research, Inc.
    3. Richard M. Bird & Jorge Martinez-Vazquez & Benno Torgler, 2014. "Societal Institutions and Tax Effort in Developing Countries," Annals of Economics and Finance, Society for AEF, vol. 15(1), pages 301-351, May.
    4. Grossman, Gene M & Helpman, Elhanan, 1994. "Protection for Sale," American Economic Review, American Economic Association, vol. 84(4), pages 833-850, September.
    5. Simplice A. Asongu & Brian A. Jingwa, 2012. "Population growth and forest sustainability in Africa," International Journal of Green Economics, Inderscience Enterprises Ltd, vol. 6(2), pages 145-166.
    6. Okada, Keisuke & Samreth, Sovannroeun, 2012. "The effect of foreign aid on corruption: A quantile regression approach," Economics Letters, Elsevier, vol. 115(2), pages 240-243.
    7. Treisman, Daniel, 2000. "The causes of corruption: a cross-national study," Journal of Public Economics, Elsevier, vol. 76(3), pages 399-457, June.
    8. Simplice A Asongu, 2012. "On the effect of foreign aid on corruption," Economics Bulletin, AccessEcon, vol. 32(3), pages 2174-2180.
    9. Chowdhury, Shyamal K., 2004. "The effect of democracy and press freedom on corruption: an empirical test," Economics Letters, Elsevier, vol. 85(1), pages 93-101, October.
    10. Abhijit V. Banerjee, 1997. "A Theory of Misgovernance," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(4), pages 1289-1332.
    11. Billger, Sherrilyn M. & Goel, Rajeev K., 2009. "Do existing corruption levels matter in controlling corruption?: Cross-country quantile regression estimates," Journal of Development Economics, Elsevier, vol. 90(2), pages 299-305, November.
    12. Richard M. Bird & Jorge Martinez-Vazquez & Benno Torgler, 2014. "Societal Institutions and Tax Effort in Developing Countries," Annals of Economics and Finance, Society for AEF, vol. 15(1), pages 301-351, May.
    13. Danila Serra, 2006. "Empirical determinants of corruption: A sensitivity analysis," Public Choice, Springer, vol. 126(1), pages 225-256, January.
    14. Guriev, Sergei, 2004. "Red tape and corruption," Journal of Development Economics, Elsevier, vol. 73(2), pages 489-504, April.
    15. Peter McAdam & Ole Rummel, 2004. "Corruption: a non-parametric analysis," Journal of Economic Studies, Emerald Group Publishing, vol. 31(6), pages 509-523, October.
    16. Bird, Richard M. & Martinez-Vazquez, Jorge & Torgler, Benno, 2008. "Tax Effort in Developing Countries and High Income Countries: The Impact of Corruption, Voice and Accountability," Economic Analysis and Policy, Elsevier, vol. 38(1), pages 55-71, March.
    17. Jean-Jacques Laffont & Jean Tirole, 1993. "A Theory of Incentives in Procurement and Regulation," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262121743, April.
    18. Toke S. Aidt, 2003. "Economic analysis of corruption: a survey," Economic Journal, Royal Economic Society, vol. 113(491), pages 632-652, November.
    19. Pranab Bardhan, 1997. "Corruption and Development: A Review of Issues," Journal of Economic Literature, American Economic Association, vol. 35(3), pages 1320-1346, September.
    20. Arvind K. Jain, 2001. "Corruption: A Review," Journal of Economic Surveys, Wiley Blackwell, vol. 15(1), pages 71-121, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Simplice A. Asongu, 2013. "Fighting Corruption when Existing Corruption-Control Levels Count: What do Wealth-Effects Tell us in Africa?," Institutions and Economies (formerly known as International Journal of Institutions and Economies), Faculty of Economics and Administration, University of Malaya, vol. 5(3), pages 53-74, October.
    2. Asongu Simplice, 2012. "Fighting corruption when existing corruption-control levels count : what do wealth effects tell us?," Working Papers of the African Governance and Development Institute. 12/013, African Governance and Development Institute..
    3. Billger, Sherrilyn M. & Goel, Rajeev K., 2009. "Do existing corruption levels matter in controlling corruption?: Cross-country quantile regression estimates," Journal of Development Economics, Elsevier, vol. 90(2), pages 299-305, November.
    4. Goel, Rajeev K. & Korhonen, Iikka, 2011. "Exports and cross-national corruption: A disaggregated examination," Economic Systems, Elsevier, vol. 35(1), pages 109-124, March.
    5. repec:hhs:bofitp:2009_005 is not listed on IDEAS
    6. Goel, Rajeev K. & Korhonen, Iikka, 2011. "Exports and cross-national corruption: A disaggregated examination," Economic Systems, Elsevier, vol. 35(1), pages 109-124, March.
    7. Goel, Rajeev K. & Nelson, Michael A. & Naretta, Michael A., 2012. "The internet as an indicator of corruption awareness," European Journal of Political Economy, Elsevier, vol. 28(1), pages 64-75.
    8. Rajeev Goel & Jelena Budak & Edo Rajh, 2012. "Factors Driving Bribe Payments: Survey Evidence from Croatia," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 19(1), pages 13-22, September.
    9. Rajeev K. Goel, 2012. "Business regulation and taxation: effects on cross-country corruption," Journal of Economic Policy Reform, Taylor & Francis Journals, vol. 15(3), pages 223-242, September.
    10. Belousova, Veronika & Rajeev, K. Goel & Korhonen, Iikka, 2011. "Causes of Corruption in Russia: A Disaggregated Analysis," Discussion Paper Series 557, Institute of Economic Research, Hitotsubashi University.
    11. Veronika Belousova & Rajeev Goel & Iikka Korhonen, 2016. "Corruption perceptions versus corruption incidence: Competition for rents across Russian regions," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 40(1), pages 172-187, January.
    12. Rajeev K. Goel & James W. Saunoris, 2016. "Military Buildups, Economic Development and Corruption," Manchester School, University of Manchester, vol. 84(6), pages 697-722, December.
    13. Rajeev Goel & Michael Nelson, 2011. "Measures of corruption and determinants of US corruption," Economics of Governance, Springer, vol. 12(2), pages 155-176, June.
    14. Belousova, Veronika & Rajeev, K. Goel & Korhonen, Iikka, 2011. "Causes of Corruption in Russia: A Disaggregated Analysis," Discussion Paper Series 557, Institute of Economic Research, Hitotsubashi University.
    15. Rajeev Goel & Michael Nelson, 2011. "Government fragmentation versus fiscal decentralization and corruption," Public Choice, Springer, vol. 148(3), pages 471-490, September.
    16. Goel, Rajeev K. & Nelson, Michael A., 2010. "Causes of corruption: History, geography and government," Journal of Policy Modeling, Elsevier, vol. 32(4), pages 433-447, July.
    17. Dong, Bin & Dulleck, Uwe & Torgler, Benno, 2012. "Conditional corruption," Journal of Economic Psychology, Elsevier, vol. 33(3), pages 609-627.
    18. Gabriel Caldas Montes & Paulo Henrique Luna, 2021. "Fiscal transparency, legal system and perception of the control on corruption: empirical evidence from panel data," Empirical Economics, Springer, vol. 60(4), pages 2005-2037, April.
    19. Dincer, Oguzhan & Gunalp, Burak, 2020. "The effects of federal regulations on corruption in U.S. States," European Journal of Political Economy, Elsevier, vol. 65(C).
    20. repec:pdn:wpaper:79 is not listed on IDEAS
    21. Keith Blackburn & Rashmi Sarmah, 2006. "Red Tape, Corruption and Finance," Centre for Growth and Business Cycle Research Discussion Paper Series 82, Economics, The University of Manchester.
    22. Singh, Sunny Kumar & Bhattacharya, Kaushik, 2017. "Does easy availability of cash affect corruption? Evidence from a panel of countries," Economic Systems, Elsevier, vol. 41(2), pages 236-247.

    More about this item

    Keywords

    Corruption; Democracy; Government quality; Quantile regression; Africa;
    All these keywords.

    JEL classification:

    • H10 - Public Economics - - Structure and Scope of Government - - - General
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • O55 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Africa
    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • K10 - Law and Economics - - Basic Areas of Law - - - General (Constitutional Law)

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:36900. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.