Journal
JOURNAL OF ECONOMIC STUDIES
Volume 48, Issue 3, Pages 537-556Publisher
EMERALD GROUP PUBLISHING LTD
DOI: 10.1108/JES-09-2019-0435
Keywords
Institutional quality; Trade flows; Economic development; NAFTA; System GMM; F13; F14; F63
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This study examines the impacts of institutional quality on trade flows of NAFTA using system GMM estimation, finding a positive and significant effect on international trade flows, with the impact varying based on the economic development levels of NAFTA's trading partners.
Purpose This paper aims to analyze the impacts of institutional quality on trade flows of NAFTA with a panel data set of 105 countries spanning the period 2006-2017. Design/methodology/approach We applied the system generalized method of moment (GMM) estimator to investigate the impacts. Findings The results show that institutional quality is a positive and significant determinant of international trade flows of the NAFTA bloc and its trading partners. Our results also indicate that the impact of institutional quality depends on the level of economic development of NAFTA's trading partners. Specifically, the trade elasticity of institutional quality is the highest for NAFTA's trade with middle-income countries and the lowest for NAFTA's trade with low-income countries. In the long run, the trade elasticity of institutional quality increased significantly, with the highest increase in the case of NAFTA's trade with medium-income countries and the lowest increase in the case of NAFTA's trade with low-income countries. Originality/value This study contributes to the existing literature in three different ways. First, we examine the differential impact of institutions on NAFTA's trade according to the level of economic development of NAFTA's trading partners. Second, we compare the differential trade elasticity of institutional quality in the long run. Finally, we support our findings through an improved research methodology by using the system GMM estimation. This method allows us to overcome the potential sample bias, omitted variable problems and endogeneity of explanatory variables.
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