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Les technologies de l’information et de la communication réduisent-elles la corruption ? Le cas des pays arabes

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  • Kamel TOUATI

    (Faculté des Sciences Juridiques, Economiques et de Gestion de Jendouba, Tunisie)

Abstract

L’objectif principal de cet article consiste à déterminer l’effet d’Internet et de l'e-gouvernement sur la corruption dans le cas de 20 pays arabes sur la période allant de 2005 à 2018. Sur la base d’un modèle économétrique estimé sur des données de panel dynamique au moyen de la méthode GMM en système, nous mettons en évidence l’effet d’Internet et de l'e-gouvernement sur la réduction de la corruption, et ce aussi bien pour l’ensemble des pays arabes que pour deux sous-groupes de pays dont le développement des technologies de l’information et de la communication et les niveaux de corruption sont différents : les pays du Golfe et les autres pays arabes. Le niveau de corruption reste ce-pendant élevé et/ou ne s’est pas réduit dans de nombreux pays du fait de la faible qualité des institutions.

Suggested Citation

  • Kamel TOUATI, 2020. "Les technologies de l’information et de la communication réduisent-elles la corruption ? Le cas des pays arabes," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 52, pages 21-38.
    • Handle: RePEc:tou:journl:v:52:y:2020:p:21-38
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    References listed on IDEAS

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    More about this item

    Keywords

    Corruption ; Internet ; E-gouvernement ; Pays arabes ; Méthode GMM en système;
    All these keywords.

    JEL classification:

    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
    • H11 - Public Economics - - Structure and Scope of Government - - - Structure and Scope of Government
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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