期刊名称：International Journal of Academic Research in Business and Social Sciences
电子版ISSN：2222-6990
出版年度：2019
卷号：9
期号：3
页码：487-498
DOI：10.6007/IJARBSS/v9-i3/5708
语种：English
出版社：Human Resource Management Academic Research Society
摘要：This paper studies the scenario of air pollution among selected thirteen countries for a five-year period 2010 until 2014. The countries’ main macroeconomics variables namely Gross Domestic Product per capita (GDP), Energy Usage, Urbanization and Industrial Production are the potential causes that could have serious impact on the amount of air pollution among these nations. Three key econometric models using longitudinal data are chosen for analysis i.e. the Pooled Ordinary Least Square (OLS), the Random Effect and Fixed Effect Models. The findings showed that the Pooled OLS explanatory variables are all significant, but only two variables were significant in each random and fixed effects model. However, the appropriate technique that best explain this analysis is the Fixed Effect Model. GDP was the key variable that caused the high emissions of air pollution in these selected countries.
