Air pollutants in Malaysia : the contribution of economic growth towards it / Halimahton Borhan and Elsadig Musa Ahmed

• Main Authors: Borhan, Halimahton, Ahmed, Elsadig Musa
• Format: Article
• Language: English
• Published: Research Management Institute (RMI) 2008
• Subjects: Income. Income distribution. National income. Including gross national product, gross domestic product, and gross state product; Special types of environment. Including soil pollution, air pollution, noise pollution
• Online Access: http://ir.uitm.edu.my/id/eprint/13051/1/AJ_HALIMAHTON%20BORHAN%20SMRJ%2008%201.pdf; http://ir.uitm.edu.my/id/eprint/13051/; https://smrj.uitm.edu.my/

It is possible to distinguish three main channels whereby income growth affects the quality of the environment as first suggested by Grossman (1995). These are (1) scale effect, (2) composition effect and (3) techn ologi cal pr ogr ess. A recent resear ch criticism by Cole (2003 and 2004) of the environmental Kuznets curve (EKC) hypothesis is based on the occurrence of foreign direct investment and international trade. In the previous EKC literature. EKC is always estimated in the form of a single equation. However, since both income and environmental quality are endogenous variables in which they impact upon each other, the estimation of single equation relationships where simultaneity exists will produce biased and inconsistent estimates. The general objective ofthis study is to measure the relationship between economic growth and different indicators ofair pollution in Malaysia. Air pollution indicators were assessed on a number of measures: Carbon Monoxide (CO), Sulfur Dioxide (SO). Nitrogen Dioxide (NO). Ozone (0) and Particulat e Matter (PM,). The income level per capita GDP (Gross Domestic Product) were measured from the year 1996 to 2006 quarterly. This study contributes to the available literature by Hung et al (2004) AND Shen (2006), This study also estimates population density as an endogenous variable. It formulates a four- equation simultaneous model for empirical research. It tests for exogeneity using the Hausman test and estimates the simultaneity model using the two-stages least squares method. The EKC hypothesis is supported in the cases ofso] and PM/oand there are several differences found between single polynomial equation estimators commonly used in EKC literatures and simultaneous equation estimators.