Trade Policy Reversion: Quantifying the Diversionary Impact of Non-Tariff Barriers on Bilateral Trade Flows (2015–2024)
Trade Policy Reversion: Quantifying the Diversionary Impact of Non-Tariff Barriers on Bilateral Trade Flows (2015–2024)
Author(s): Lidiia PASHCHUK, Nina LVOVA, Olena ZAVHORODNIA, Vitalii ZHMURENKO, Nataliia RUNCHEVASubject(s): Economy, Law, Constitution, Jurisprudence, Supranational / Global Economy, Business Economy / Management, Energy and Environmental Studies, Commercial Law
Published by: RITHA Publishing
Keywords: trade policy; protectionism; non-tariff barriers; gravity model; panel data; bilateral trade flows;
Summary/Abstract: In recent years, protectionism has become a hallmark of the global economy and international trade. This study quantifies the measurable impact of tariff and non-tariff barriers on bilateral trade flows among 30 major economies from 2015 to 2024. Employing a panel data gravity model, the paper specifies the logarithm of bilateral trade flows as the dependent variable, with average tariff rates and a non-tariff measures (NTM) index as key explanatory variables, while controlling for GDP, exchange rate volatility, distance, and trade agreements. Estimations are performed using fixed-effects and instrumental-variable approaches to address potential endogeneity and unobserved heterogeneity. The empirical results reveal that a one-percentage-point increase in tariffs reduces bilateral trade flows by 0.12%, while a 0.1-point rise in the NTM index lowers trade by 3.5%, confirming the diversionary effects of modern protectionism. The findings demonstrate that regulatory protectionism exerts stronger trade-restrictive effects than traditional tariffs, particularly in technology-intensive sectors. Policymakers are urged to design adaptive trade strategies that preserve national competitiveness while maintaining open global trade channels to ensure sustainable growth.
Journal: Journal of Applied Economic Sciences (JAES)
- Issue Year: XX/2025
- Issue No: 4(90)
- Page Range: 717-730
- Page Count: 14
- Language: English
