Browsing by Subject "bribery"

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    “Leakage” in international regulatory regimes: Did the OECD Anti-Bribery convention increase bribery?
    (Quarterly Journal of Political Science, 2021-10-18) Chapman, TL; Jensen, NM; Malesky, EJ; Wolford, S
    When do well-intended regulatory regimes have unintended consequences? We examine one obstacle to successful regulation, “regulatory leakage,” in the context of the OECD Anti-Bribery Convention (ABC). Leakage occurs when regulated behavior decreases for actors under a regime’s jurisdiction, but increases among those outside of it. We analyze a formal model that demonstrates how the ABC may simultaneously reduce bribery among firms from member countries, while increasing bribery by firms from non-ABC member countries. We also show how the ABC may lead firms from ABC member countries to shift to bribery through intermediaries. New empirical evidence of MNC activity in Vietnam shows evidence of both regulatory leakage and bribery through intermediaries.
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    Methodological errors in corruption research: Recommendations for future research
    (Journal of International Business Studies, 2024-03-01) Delios, A; Malesky, EJ; Yu, S; Riddler, G
    The secretive, illegal, multidimensional, and ubiquitous nature of corruption leads to formidable difficulties in research design and measurement. When research fails to account for these challenges, it can lead to an empirical misalignment with concepts and theories of corruption, with inferential errors commensurately emerging. We define, measure, and track four common measurement errors and two common research design errors for papers on corruption published in international business/management and political economy journals in the 2000–2021 period. Our data marks a substantial opportunity to tighten the fit between theory and methods. We offer recommendations to accelerate improvements in empirical research on corruption, and indeed for other phenomena that are characterized by legal, moral, and social desirability concerns. These empirical recommendations contribute to more robust theory building.