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Régime politique et commerce international en Afrique centrale

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  • Gislain Stéphane Gandjon Fankem

Abstract

The aim of this paper is to evaluate empirically the incidence of the level of democracy of Central Africa?s countries on their international trade. Obtained starting from a gravity model in panel, our results show that their bilateral trade is a decreasing function of their level of democracy. What seems to suggest that the democratization process engaged after the Baule?s summit in 1990 did not make it possible yet to increase the exchanges of the countries of Central Africa. To control the estimates by various measures of democracy as by the quality of institutions does not modify this conclusion. Codes JEL: F12, F15, O55, P48, C23.

Suggested Citation

  • Gislain Stéphane Gandjon Fankem, 2018. "Régime politique et commerce international en Afrique centrale," Revue d’économie du développement, De Boeck Université, vol. 26(1), pages 139-167.
    • Handle: RePEc:cai:edddbu:edd_321_0139
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    Citations

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    Cited by:

    1. Nguenda Anya, Saturnin Bertrand & Nzepang, Fabrice, 2022. "The role of the separation of democratic powers on structural transformation in Sub-Saharan Africa," Economic Systems, Elsevier, vol. 46(4).

    More about this item

    Keywords

    political regime; international trade; gravity model; panel data; Central Africa;
    All these keywords.

    JEL classification:

    • F12 - International Economics - - Trade - - - Models of Trade with Imperfect Competition and Scale Economies; Fragmentation
    • F15 - International Economics - - Trade - - - Economic Integration
    • O55 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Africa
    • P48 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - Legal Institutions; Property Rights; Natural Resources; Energy; Environment; Regional Studies
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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