Regional Integration Clusters and Optimum Customs Unions: A Machine-Learning Approach

نویسندگان

چکیده

This paper proposes a new method to evaluate the composition of regional arrangements focused on increasing intraregional trade and economic integration. In contrast previous studies which take country these arrangements as given, our method uses network clustering algorithm adapted from machine learning literature to identify, in data-driven way, those groups neighboring countries that are most integrated with each other. Using obtained landscape integration clusters (RICs) benchmark, we then apply critically assess of real-world customs unions. Our results indicate there is considerable variation across customs unions their distance RICs emerging algorithm, suggesting some relatively more driven by ‘natural’ economic forces, opposed political considerations. also point several testable hypotheses related geopolitical configuration

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ژورنال

عنوان ژورنال: Journal of Economic Integration

سال: 2021

ISSN: ['1225-651X', '1976-5525']

DOI: https://doi.org/10.11130/jei.2021.36.2.262