Statistical Modelling of CO 2 Emissions in Malaysia and Thailand

Tay, Sze Hui and Shapiee, Abd Rahman and Jane, Labadin (2012) Statistical Modelling of CO 2 Emissions in Malaysia and Thailand. International Journal on Advanced Science Engineering Information Technology, 2 (5). ISSN 2088*5334

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Abstract

Carbon dioxide (CO2) emissions is an environmental problem which leads to Earth’s greenhouse effect. Much concerns with carbon dioxide emissions centered around the growing threat of global warming and climate change. This paper, however, presents a simple model development using multiple regression with interactions for estimating carbon dioxide emissions in Malaysia and Thailand. Five indicators over the period 1971-2006, namely energy use, GDP per capita, population density, combustible renewables and waste, and CO2 intensity are used in the analysis. Progressive model selections using forward selection, backward elimination and stepwise regression are used to remove insignificant variables, with possible interactions. Model selection techniques are compared against the performance of eight criteria model selection process. Global test, Coefficient test, Wald test and Goodnessof- fit test are carried out to ensure that the best regression model is selected for further analysis. A numerical illustration is included to enhance the understanding of the whole process in obtaining the final best model.

Item Type: Article
Uncontrolled Keywords: CO2 emissions; multiple regression; model selection techniques, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak
Subjects: T Technology > TD Environmental technology. Sanitary engineering
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Karen Kornalius
Date Deposited: 05 Aug 2015 05:00
Last Modified: 05 Aug 2015 05:00
URI: http://ir.unimas.my/id/eprint/8493

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