期刊名称：International Journal of Energy Economics and Policy
电子版ISSN：2146-4553
出版年度：2015
卷号：5
期号：4
页码：1073-1083
语种：English
出版社：EconJournals
摘要：Today the unprecedented increase in CO 2 emissions has become an important global issue because of the intensification in demand from the transport sector due to an upward surge in urbanisation and rapid economic growth. The demand for transport services is expected to rise further, causing the CO 2 emissions level to increase as well. In Malaysia, the transportation sector accounts for 28% of total CO 2 emissions, of which 85% comes from road transport. This has led to strong interest in how the CO 2 emissions in this sector can be reduced effectively. This study aimed to investigate factors that influence the CO 2 emissions. A multiple regression model was used based on fuel-based technology data for 1990 to 2013. Many factors influencing CO 2 emissions, i.e., fuel consumption, fuel efficiency, fuel price and distance travel, were examined for the road transport sector in Malaysia. The results demonstrated that fuel efficiency, fuel price and distance travel were the main factors influencing the CO 2 emissions growth. Some policy implications from the empirical results were proposed for CO 2 emissions reduction. Keywords: CO 2 emissions; energy consumption; road transportation; regression model; Malaysia. JEL Classifications: C13; Q48; N75; R41
其他摘要：Today the unprecedented increase in CO 2 emissions has become an important global issue because of the intensification in demand from the transport sector due to an upward surge in urbanisation and rapid economic growth. The demand for transport services is expected to rise further, causing the CO 2 emissions level to increase as well. In Malaysia, the transportation sector accounts for 28% of total CO 2 emissions, of which 85% comes from road transport. This has led to strong interest in how the CO 2 emissions in this sector can be reduced effectively. This study aimed to investigate factors that influence the CO 2 emissions. A multiple regression model was used based on fuel-based technology data for 1990 to 2013. Many factors influencing CO 2 emissions, i.e., fuel consumption, fuel efficiency, fuel price and distance travel, were examined for the road transport sector in Malaysia. The results demonstrated that fuel efficiency, fuel price and distance travel were the main factors influencing the CO 2 emissions growth. Some policy implications from the empirical results were proposed for CO 2 emissions reduction. Keywords: CO 2 emissions; energy consumption; road transportation; regression model; Malaysia. JEL Classifications: C13; Q48; N75; R41
