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An empirical analysis of human trafficking in an era of globalization

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  • Yselle Flora Kuete Malah
  • Simplice Asongu

Abstract

Purpose - The paper explores the dark side of economic openness by examining empirically the nexus between the globalization process and human trafficking. Specifically, it is about showing in a global perspective how the growing process of free movement of people, goods, capital, services and information technology make the globe a connected web of activity for the sale and exploitation of human beings. Design/methodology/approach - After discussing some transmission channels through which globalization could increase this practice based on the lessons from the literature, an empirical analysis is done by employing ordinary least squares (OLS) and Probit regressions on a cross-sectional model covering 130 countries worldwide. Findings - Findings, robust to the consideration of the sub-regional specificities and controlling for social, cultural and historical factors, suggest that globalization, particularly financial and cultural, favors human trafficking. In the light of these results, some policy recommendations are discussed. Originality/value - This study complements the extant literature by assessing dynamics of globalization in human trafficking.

Suggested Citation

  • Yselle Flora Kuete Malah & Simplice Asongu, 2021. "An empirical analysis of human trafficking in an era of globalization," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 49(7), pages 1269-1283, October.
  • Handle: RePEc:eme:jespps:jes-06-2021-0288
    DOI: 10.1108/JES-06-2021-0288
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    More about this item

    Keywords

    Globalization; Human trafficking; Cross section model; C21; F53;
    All these keywords.

    JEL classification:

    • F53 - International Economics - - International Relations, National Security, and International Political Economy - - - International Agreements and Observance; International Organizations
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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