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SULAIMAN, JAMALLUDIN (2) answer(s).
 
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1
ID:   116925


Economic growth and CO2 emissions in Malaysia: a cointegration analysis of the Environmental Kuznets Curve / Saboori, Behnaz; Sulaiman, Jamalludin; Mohd, Saidatulakmal   Journal Article
Saboori, Behnaz Journal Article
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Publication 2012.
Summary/Abstract This paper attempts to establish a long-run as well as causal relationship between economic growth and carbon dioxide (CO2) emissions for Malaysia. Using data for the years from 1980 to 2009, the Environmental Kuznets Curve (EKC) hypothesis was tested utilizing the Auto Regressive Distributed Lag (ARDL) methodology. The empirical results suggest the existence of a long-run relationship between per capita CO2 emissions and real per capita Gross Domestic Product (GDP) when the CO2 emissions level is the dependent variable. We found an inverted-U shape relationship between CO2 emissions and GDP in both short and long-run, thus supporting the EKC hypothesis. The Granger Causality test based on the Vector Error Correction Model (VECM) presents an absence of causality between CO2 emissions and economic growth in the short-run while demonstrating uni-directional causality from economic growth to CO2 emissions in the long-run.
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2
ID:   124714


Environmental degradation, economic growth and energy consumpti: evidence of the environmental Kuznets curve in Malaysia / Saboori, Behnaz; Sulaiman, Jamalludin   Journal Article
Saboori, Behnaz Journal Article
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Publication 2013.
Summary/Abstract This paper tests for the short and long-run relationship between economic growth, carbon dioxide (CO2) emissions and energy consumption, using the Environmental Kuznets Curve (EKC) by employing both the aggregated and disaggregated energy consumption data in Malaysia for the period 1980-2009. The Autoregressive Distributed Lag (ARDL) methodology and Johansen-Juselius maximum likelihood approach were used to test the cointegration relationship; and the Granger causality test, based on the vector error correction model (VECM), to test for causality. The study does not support an inverted U-shaped relationship (EKC) when aggregated energy consumption data was used. When data was disaggregated based on different energy sources such as oil, coal, gas and electricity, the study does show evidences of the EKC hypothesis. The long-run Granger causality test shows that there is bi-directional causality between economic growth and CO2 emissions, with coal, gas, electricity and oil consumption. This suggests that decreasing energy consumption such as coal, gas, electricity and oil appears to be an effective way to control CO2 emissions but simultaneously will hinder economic growth. Thus suitable policies related to the efficient consumption of energy resources and consumption of renewable sources are required.
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