Title : Revisiting Squalli-Wilson's Measure of Trade Openness in the Context of Services Trade

Authors :
1. Kabiru Hannafi Ibrahim
2. Dyah Wulan Sari
3. Rossanto Dwi Handoyo

Department : Economics

Journal Name : Iranian Economic Review

Kinds of Journal : Scopus Q3

Keywords : Services Trade Openness Economic Growth Environmental Pollutants 2-SLS Instrumental Variable Global Cross-country Analysis

ABSTRACT

This study re-examines squualli-wilson's measure of trade openness from the perspective of services. An attempt was made to compose all modes of services supply to form a composite measure of service openness that has rarely been used in trade literature. A global sample compritioning difference regions based on cross-country data was applied to the testing of the reliability of this measure using correllation coefficients, income, and environmental quality models. Ordinary Least Square (OLS) and Two-Stage Least Square (2-SLS) Instrumental Variables Approach Were Applied. Finding from the growth impact of trade are robust and consistent with prevailing literature supporting the positive impact of service trade on economic growth. Howver, Our Empirical Estimate Based on the Two Measures of Environmental Pollutants, Shows that Openness Reductions SO2 and Increases Co2 Emissions. These findings are consistent with most of the existing literature supporting the "gains from trade" hypothesis in the case of SO2 and the "pollution havens" hypothesis in the case of CO2 emissions. Nonetheless, the results provide further support in the context of services for the use of composite trade intensity proposed by Squalli-Wilson that not only considered trade/gdp ratio but also the relative importance of the country to the world trade. The inverted u-shaped ekc was also verified in both two measures of environmental pollutions. The policy implications of these findings are that care must be taken while increase openness in the services to increase economic growth and to reduce the phenomenon of pollution has in the case of CO2 emissions.

For details : https://ier.ut.ac.ir/article_85085.html