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Private-Sector Corruption: Measurement and Cultural Origins

Author

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  • Jerg Gutmann

    (University of Hamburg)

  • Viola Lucas

    (GIGA German Institute of Global and Area Studies)

Abstract

Research on corruption has made substantial progress in recent years. Yet, most studies still treat corruption as a homogenous phenomenon. This article argues that private-sector corruption can be distinguished conceptually from public-sector corruption, which has been in the spotlight of empirical research. We introduce the first indicator of private-sector corruption covering a large cross-section of countries. This new indicator is used to extend a recent empirical study on the cultural determinants of public-sector corruption (Kong and Volkema in Soc Indic Res 127(1):139–152, 2016). We find that self-serving leadership in high-income countries is associated with more corruption in both the public and the private sector. Furthermore, individualistic leadership in low-income countries is linked to reduced private-sector corruption. Next, we test a number of alternative cultural explanations for differences in private-sector corruption across countries. Overall, our results suggest that specific forms of corporate leadership culture matter for private-sector corruption, but also religious identity and trust play an important role.

Suggested Citation

  • Jerg Gutmann & Viola Lucas, 2018. "Private-Sector Corruption: Measurement and Cultural Origins," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 138(2), pages 747-770, July.
    • Handle: RePEc:spr:soinre:v:138:y:2018:i:2:d:10.1007_s11205-017-1684-3
    DOI: 10.1007/s11205-017-1684-3
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    Cited by:

    1. Gründler, Klaus & Potrafke, Niklas, 2019. "Corruption and economic growth: New empirical evidence," European Journal of Political Economy, Elsevier, vol. 60(C).
    2. Gutmann, Jerg & Padovano, Fabio & Voigt, Stefan, 2020. "Perception vs. experience: Explaining differences in corruption measures using microdata," European Journal of Political Economy, Elsevier, vol. 65(C).
    3. Miguel Ángel Borrella-Mas & Martin Rode, 2021. "Love is blind: partisan alignment and political corruption in Spain," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 12(3), pages 423-451, September.
    4. Hans Pitlik & Martin Rode, 2021. "Radical Distrust: Are Economic Policy Attitudes Tempered by Social Trust?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 158(2), pages 485-506, December.
    5. Berggren, Niclas & Bjørnskov, Christian, 2020. "Corruption, judicial accountability and inequality: Unfair procedures may benefit the worst-off," Journal of Economic Behavior & Organization, Elsevier, vol. 170(C), pages 341-354.
    6. Michael A. Sartor & Paul W. Beamish, 2020. "Private Sector Corruption, Public Sector Corruption and the Organizational Structure of Foreign Subsidiaries," Journal of Business Ethics, Springer, vol. 167(4), pages 725-744, December.

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    More about this item

    Keywords

    Corruption indicators; Determinants of corruption; Private-sector corruption; Culture; Individualism; Trust;
    All these keywords.

    JEL classification:

    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • K4 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior
    • M14 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Corporate Culture; Diversity; Social Responsibility
    • Z1 - Other Special Topics - - Cultural Economics

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