Scientific Papers

JOURNAL OF INTERNATIONAL STUDIES


© CSR, 2008-2019
ISSN: 2306-3483 (Online), 2071-8330 (Print)

1.10
2017CiteScore
 
72nd percentile
Powered by  Scopus



Directory of Open Access Journals (DOAJ)


Strike Plagiarism

Partners

Determinants of regional trade agreements: Global evidence based on gravity models

Vol. 13, No 1, 2020

 

Attila Jámbor

 

Department of Agricultural Economics and Rural Development, Corvinus University of Budapest,

Hungary

attila.jambor@uni-corvinus.hu

Determinants of regional trade agreements: Global evidence based on gravity models

Péter Gál

 

Department of Agricultural Economics and Rural Development, Corvinus University of Budapest,

Hungary

peter.gal@stud.uni-corvinus.hu


Áron Török

 

Department of Agricultural Economics and Rural Development, Corvinus University of Budapest,

Hungary

aron.torok@uni-corvinus.hu


 

 

 

 

Abstract. There has been a continuous increase in the number of regional trade agreements (RTAs) worldwide during the previous decades. However, the analysis of determinants of regional trade agreements is somehow neglected in empirical literature. This paper aims to analyse the determinants of regional trade agreements by using gravity variables on a global sample. The results suggest that colonial variables are ambiguously related to RTAs, thereby making it hard to exactly define the role of colonial relations in the formulation of RTAs. Language is found to be negatively related to RTAs, meaning that countries speaking different languages tend to create more trade. The relationship between distance and RTAs is found to be relatively straightforward with higher distance and countries without common borders suggesting less regional trade relations. Finally, geographical indication does not seem to play a major role in creating regional trade agreements. As a practical result, it was found that gravity models are applicable for analysing the determinants of RTAs. Our results might be of interest to researchers and policymakers interested in the creation of RTAs.

 

 

Received: August, 2019

1st Revision: November, 2019

Accepted: January, 2020

 

DOI: 10.14254/2071-8330.2020/13-1/3

 

JEL ClassificationF13, F14

Keywordsregions, trade agreements, gravity model, geographical indications, world trade