Statistical Modelling of CO 2 Emissions in Malaysia and Thailand
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 regressi...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Researchgate
2012
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/8493/1/Shapiee.pdf http://ir.unimas.my/id/eprint/8493/ http://www.researchgate.net/publication/265201726_Statistical_Modelling_of_CO_2_Emissions_in_Malaysia_and_Thailand |
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| Summary: | 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. |
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