IDEAS home Printed from https://ideas.repec.org/p/ihs/ihsesp/238.html
   My bibliography  Save this paper

Do "Clean Hands" Ensure Healthy Growth? Theory and Practice in the Battle Against Corruption

Author

Listed:
  • Coppier, Raffaella

    (Department of Economic and Financial Institutions, University of Macerata, Macerata (MC), Italy)

  • Costantini, Mauro

    (Department of Economics, University of Vienna, Vienna, Austria)

  • Piga, Gustavo

    (Department of Economics and Institutions, University of Rome Tor Vergata, Roma, Italy)

Abstract

This paper analyzes the existing relationship between economic growth and the monitoring of corruption and examines the possible outcome of the implementation of a State reform in order to weed out corruption. Growth is always higher when monitoring is high and therefore corruption eradicated. But growth declines when monitoring against corruption is not too high, say intermediate, so much that it makes an equilibrium with corruption and little monitoring a more growth-enhancing solution. It is also stressed that when reforms to combat corruption appear to be implausible, they tend to curb most productive investments. The model is estimated using a dynamic panel data approach for Italy. Italy has been plagued by corruption and in the late 80s and early 90s several scandals erupted which led to the well-known "Clean Hands" (Mani pulite) inquiries. Empirical results support the theoretical model.

Suggested Citation

  • Coppier, Raffaella & Costantini, Mauro & Piga, Gustavo, 2009. "Do "Clean Hands" Ensure Healthy Growth? Theory and Practice in the Battle Against Corruption," Economics Series 238, Institute for Advanced Studies.
  • Handle: RePEc:ihs:ihsesp:238
    as

    Download full text from publisher

    File URL: https://irihs.ihs.ac.at/id/eprint/1917
    File Function: First version, 2009
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Barreto, Raul A., 2000. "Endogenous corruption in a neoclassical growth model," European Economic Review, Elsevier, vol. 44(1), pages 35-60, January.
    2. Porter, Robert H & Zona, J Douglas, 1993. "Detection of Bid Rigging in Procurement Auctions," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 518-538, June.
    3. Bun, Maurice J. G. & Kiviet, Jan F., 2003. "On the diminishing returns of higher-order terms in asymptotic expansions of bias," Economics Letters, Elsevier, vol. 79(2), pages 145-152, May.
    4. John McMillan, 1991. "Dango: Japan'S Price‐Fixing Conspiracies," Economics and Politics, Wiley Blackwell, vol. 3(3), pages 201-218, November.
    5. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    6. Robert J. Barro, 1991. "Economic Growth in a Cross Section of Countries," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(2), pages 407-443.
    7. Kelly, Morgan, 1992. "On endogenous growth with productivity shocks," Journal of Monetary Economics, Elsevier, vol. 30(1), pages 47-56, October.
    8. Isaac Ehrlich & Francis T. Lui, 1999. "Bureaucratic Corruption and Endogenous Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 107(S6), pages 270-293, December.
    9. repec:rre:publsh:v:34:y:2004:i:1:p:72-94 is not listed on IDEAS
    10. Greenaway, David & Morgan, Wyn & Wright, Peter W, 1998. "Trade Reform, Adjustment and Growth: What Does the Evidence Tell Us?," Economic Journal, Royal Economic Society, vol. 108(450), pages 1547-1561, September.
    11. repec:bla:ecopol:v:17:y:2005:i::p:37-75 is not listed on IDEAS
    12. Frank Windmeijer, 2000. "A finite sample correction for the variance of linear two-step GMM estimators," IFS Working Papers W00/19, Institute for Fiscal Studies.
    13. Miriam A. Golden & Lucio Picci, 2005. "Proposal For A New Measure Of Corruption, Illustrated With Italian Data," Economics and Politics, Wiley Blackwell, vol. 17(1), pages 37-75, March.
    14. Del Monte, Alfredo & Papagni, Erasmo, 2007. "The determinants of corruption in Italy: Regional panel data analysis," European Journal of Political Economy, Elsevier, vol. 23(2), pages 379-396, June.
    15. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    16. Costantini, Mauro & Destefanis, Sergio, 2009. "Cointegration analysis for cross-sectionally dependent panels: The case of regional production functions," Economic Modelling, Elsevier, vol. 26(2), pages 320-327, March.
    17. Del Monte, Alfredo & Papagni, Erasmo, 2001. "Public expenditure, corruption, and economic growth: the case of Italy," European Journal of Political Economy, Elsevier, vol. 17(1), pages 1-16, March.
    18. Jonathan Temple, 1999. "The New Growth Evidence," Journal of Economic Literature, American Economic Association, vol. 37(1), pages 112-156, March.
    19. Larry E. Jones & Rodolfo Manuelli, 1990. "A Convex Model of Equilibrium Growth," NBER Working Papers 3241, National Bureau of Economic Research, Inc.
    20. Greenaway, David & Morgan, Wyn & Wright, Peter, 2002. "Trade liberalisation and growth in developing countries," Journal of Development Economics, Elsevier, vol. 67(1), pages 229-244, February.
    21. Jones, Larry E & Manuelli, Rodolfo E, 1990. "A Convex Model of Equilibrium Growth: Theory and Policy Implications," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 1008-1038, October.
    22. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    23. Judson, Ruth A. & Owen, Ann L., 1999. "Estimating dynamic panel data models: a guide for macroeconomists," Economics Letters, Elsevier, vol. 65(1), pages 9-15, October.
    24. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gustavo Piga, 2011. "A Fighting Chance Against Corruption in Public Procurement?," Chapters, in: Susan Rose-Ackerman & Tina Søreide (ed.), International Handbook on the Economics of Corruption, Volume Two, chapter 5, Edward Elgar Publishing.
    2. Meixing Dai & Moïse Sidiropoulos & Eleftherios Spyromitros, 2015. "Fiscal Policy, Institutional Quality and Central Bank Transparency," Manchester School, University of Manchester, vol. 83(5), pages 523-545, September.
    3. Joseph G. ATTILA, 2008. "Corruption, taxation and economic growth: theory and evidence," Working Papers 200829, CERDI.
    4. Coppier, Raffaella & Michetti, Elisabetta, 2006. "Corruption vs production. A non-linear relationship," Economic Modelling, Elsevier, vol. 23(4), pages 622-637, July.

    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. Raffaella Coppier & Mauro Costantini & Gustavo Piga, 2013. "The Role Of Monitoring Of Corruption In A Simple Endogenous Growth Model," Economic Inquiry, Western Economic Association International, vol. 51(4), pages 1972-1985, October.
    2. Capolupo, Rosa, 2009. "The New Growth Theories and Their Empirics after Twenty Years," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 3, pages 1-72.
    3. Kufenko, Vadmin & Prettner, Klaus, 2017. "You can't always get what you want? A Monte Carlo analysis of the bias and the efficiency of dynamic panel data estimators," ECON WPS - Working Papers in Economic Theory and Policy 07/2017, TU Wien, Institute of Statistics and Mathematical Methods in Economics, Economics Research Unit.
    4. Jochen Hartwig, 2008. "Has Health Capital Formation Cured 'Baumol's Disease'? - Panel Granger Causality Evidence for OECD Countries," KOF Working papers 08-206, KOF Swiss Economic Institute, ETH Zurich.
    5. Roberto Dell'Anno & Adalgiso Amendola, 2015. "Social Exclusion and Economic Growth: An Empirical Investigation in European Economies," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 61(2), pages 274-301, June.
    6. Bloom, David E. & Canning, David & Kotschy, Rainer & Prettner, Klaus & Schünemann, Johannes, 2024. "Health and economic growth: Reconciling the micro and macro evidence," World Development, Elsevier, vol. 178(C).
    7. Nadia Fiorino & Emma Galli & Ilaria Petrarca, 2012. "Corruption and Growth: Evidence from the Italian Regions," European Journal of Government and Economics, Europa Grande, vol. 1(2), pages 126-144, December.
    8. Celine Bonnefond, 2014. "Growth Dynamics And Conditional Convergence Among Chinese Provinces: A Panel Data Investigation Using System Gmm Estimator," Journal of Economic Development, Chung-Ang Unviersity, Department of Economics, vol. 39(4), pages 1-25, December.
    9. Maurizio Lisciandra & Emanuele Millemaci, 2017. "The economic effect of corruption in Italy: a regional panel analysis," Regional Studies, Taylor & Francis Journals, vol. 51(9), pages 1387-1398, September.
    10. Jochen Hartwig, 2009. "A panel Granger-causality test of endogenous vs. exogenous growth," KOF Working papers 09-231, KOF Swiss Economic Institute, ETH Zurich.
    11. Ibrahim, Mansor H. & Salim, Kinan & Abojeib, Moutaz & Yeap, Lau Wee, 2019. "Structural changes, competition and bank stability in Malaysia’s dual banking system," Economic Systems, Elsevier, vol. 43(1), pages 111-129.
    12. Mansor H. Ibrahim, 2018. "Trade–finance complementarity and carbon emission intensity: panel evidence from middle-income countries," Environment Systems and Decisions, Springer, vol. 38(4), pages 489-500, December.
    13. Kufenko, Vadim & Prettner, Klaus, 2016. "You can't always get what you want? Estimator choice and the speed of convergence," Hohenheim Discussion Papers in Business, Economics and Social Sciences 20-2016, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    14. Markus Eberhardt & Francis Teal, 2011. "Econometrics For Grumblers: A New Look At The Literature On Cross‐Country Growth Empirics," Journal of Economic Surveys, Wiley Blackwell, vol. 25(1), pages 109-155, February.
    15. Vadim Kufenko & Klaus Prettner, 2021. "Do you know your biases? A Monte Carlo analysis of dynamic panel data estimators," Department of Economics Working Papers wuwp316, Vienna University of Economics and Business, Department of Economics.
    16. Badi H. Baltagi, 2021. "Dynamic Panel Data Models," Springer Texts in Business and Economics, in: Econometric Analysis of Panel Data, edition 6, chapter 0, pages 187-228, Springer.
    17. Arshad Ali Bhatti & M. Emranul Haque & Denise R. Osborn, 2013. "Is the Growth Effect of Financial Development Conditional on Technological Innovation?," Centre for Growth and Business Cycle Research Discussion Paper Series 188, Economics, The University of Manchester.
    18. Zier, Patrick, 2013. "Econometric impact assessment of the Common Agricultural Policy in East German agriculture," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 71, number 71.
    19. Díaz Serrano, Lluís & Pérez, Jessica Helen, 2013. "Do more educated leaders raise citizens’ education?," Working Papers 2072/220219, Universitat Rovira i Virgili, Department of Economics.
    20. Chang, Chun-Ping & Berdiev, Aziz N. & Lee, Chien-Chiang, 2013. "Energy exports, globalization and economic growth: The case of South Caucasus," Economic Modelling, Elsevier, vol. 33(C), pages 333-346.

    More about this item

    Keywords

    Corruption; growth; reform; panel data;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of 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:ihs:ihsesp:238. 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: Doris Szoncsitz (email available below). General contact details of provider: https://edirc.repec.org/data/deihsat.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.