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Condoning corruption: Who votes for corrupt political parties?

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  • Jha, Chandan Kumar

Abstract

The election of corrupt politicians remains a crucial global problem, yet our knowledge regarding factors determining electorates' tolerance for corruption remains extremely limited. This paper explores individual characteristics and macroeconomic factors determining an individual's likelihood to (1) vote for her preferred political party even if that party was involved in a corruption scandal, and (2) abstain from voting even when an established non-corrupt party exists. I identify several individual characteristics, such as education and income levels, gender, employment status, political leaning, and trust in local media, and macroeconomic factors, such as income per capita, country-level corruption, and political rights, significantly influencing an individual's voting choice. A few implications emerge. Corruption can be self-sustaining and may undermine democracy by discouraging political participation. While education promotes political participation, it does not reduce citizens' tolerance for corruption by their preferred political parties. Corruption might widen income and gender inequality by lowering the political participation of the poor and women, and extreme political leaning can promote political corruption.

Suggested Citation

  • Jha, Chandan Kumar, 2023. "Condoning corruption: Who votes for corrupt political parties?," Journal of Economic Behavior & Organization, Elsevier, vol. 215(C), pages 74-88.
  • Handle: RePEc:eee:jeborg:v:215:y:2023:i:c:p:74-88
    DOI: 10.1016/j.jebo.2023.08.026
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    References listed on IDEAS

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    1. Brunetti, Aymo & Weder, Beatrice, 2003. "A free press is bad news for corruption," Journal of Public Economics, Elsevier, vol. 87(7-8), pages 1801-1824, August.
    2. Naci Mocan, 2008. "What Determines Corruption? International Evidence From Microdata," Economic Inquiry, Western Economic Association International, vol. 46(4), pages 493-510, October.
    3. Swamy, Anand & Knack, Stephen & Lee, Young & Azfar, Omar, 2001. "Gender and corruption," Journal of Development Economics, Elsevier, vol. 64(1), pages 25-55, February.
    4. Myerson Roger B., 1993. "Effectiveness of Electoral Systems for Reducing Government Corruption: A Game-Theoretic Analysis," Games and Economic Behavior, Elsevier, vol. 5(1), pages 118-132, January.
    5. Fumagalli, Eileen & Narciso, Gaia, 2012. "Political institutions, voter turnout, and policy outcomes," European Journal of Political Economy, Elsevier, vol. 28(2), pages 162-173.
    6. Treisman, Daniel, 2000. "The causes of corruption: a cross-national study," Journal of Public Economics, Elsevier, vol. 76(3), pages 399-457, June.
    7. Jha, Chandan Kumar & Sarangi, Sudipta, 2018. "Women and corruption: What positions must they hold to make a difference?," Journal of Economic Behavior & Organization, Elsevier, vol. 151(C), pages 219-233.
    8. Claudio Ferraz & Frederico Finan, 2008. "Exposing Corrupt Politicians: The Effects of Brazil's Publicly Released Audits on Electoral Outcomes," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 123(2), pages 703-745.
    9. Nicholas Charron & Lewis Dijkstra & Victor Lapuente, 2015. "Erratum to: Mapping the Regional Divide in Europe: A Measure for Assessing Quality of Government in 206 European Regions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 124(3), pages 1059-1059, December.
    10. George Loewenstein, 2000. "Emotions in Economic Theory and Economic Behavior," American Economic Review, American Economic Association, vol. 90(2), pages 426-432, May.
    11. Mishra, Ajit, 2006. "Persistence of corruption: some theoretical perspectives," World Development, Elsevier, vol. 34(2), pages 349-358, February.
    12. M. Keith Chen, 2013. "The Effect of Language on Economic Behavior: Evidence from Savings Rates, Health Behaviors, and Retirement Assets," American Economic Review, American Economic Association, vol. 103(2), pages 690-731, April.
    13. Rachel Croson & Uri Gneezy, 2009. "Gender Differences in Preferences," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 448-474, June.
    14. Benjamin A. Olken & Rohini Pande, 2012. "Corruption in Developing Countries," Annual Review of Economics, Annual Reviews, vol. 4(1), pages 479-509, July.
    15. Elbahnasawy, Nasr G., 2014. "E-Government, Internet Adoption, and Corruption: An Empirical Investigation," World Development, Elsevier, vol. 57(C), pages 114-126.
    16. Nicholas Charron & Lewis Dijkstra & Victor Lapuente, 2015. "Mapping the Regional Divide in Europe: A Measure for Assessing Quality of Government in 206 European Regions," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 122(2), pages 315-346, June.
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    More about this item

    Keywords

    Corruption tolerance; Voting behavior; Democracy; Politics; Political participation;
    All these keywords.

    JEL classification:

    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • D90 - Microeconomics - - Micro-Based Behavioral Economics - - - General
    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development

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