dc.contributor.advisor |
Peiris TSG |
|
dc.contributor.author |
Sakunthala KAU |
|
dc.date.accessioned |
2019 |
|
dc.date.available |
2019 |
|
dc.date.issued |
2019 |
|
dc.identifier.citation |
Sakunthala, K.A.U. (2019). The Impact of energy consumption & economic growth on carbon dioxide (CO2 ) emissions in Sri Lanka : a multivariate time series analysis [Master’s theses, University of Moratuwa]. Institutional Repository University of Moratuwa. http://dl.lib.mrt.ac.lk/handle/123/15992 |
|
dc.identifier.uri |
http://dl.lib.mrt.ac.lk/handle/123/15992 |
|
dc.description.abstract |
The studies on the impact of fossil fuel energy consumption and the economic growth of a country on carbon dioxide emissions have given high priority by many countries. Moreover, not much study on this approach had done in Sri Lanka, and most of the methods have not been tested statistically in studies of Sri Lanka. Therefore, this study utilized the Vector Error Correction Model (VECM) framework to observe the impact of fossil fuel energy consumption and economic growth on carbon dioxide (CO2) emissions in Sri Lanka over the period of 1971 - 2014. The required secondary data obtained from one of the World Bank databases known as the world development indicators (WDI). The heterogeneity of variances in each series reduced by considering their natural logarithmic transformations and each series was not significantly different from normality. Entire log-transformed series were formed trend stationary at their first differences, and the Johansen’s cointegrating analysis indicated that there was at most one cointegrating relationship among the log series at the first lag. Furthermore, the fitted VECM (1) model identified as a highly stable model, and errors were not significantly different from the white noise process. The long-run variables’ trends revealed significantly that a unit increase in the present logarithmic level of both CO2 emissions and economic growth (GDP) influenced positively, and surprisingly, that for fossil fuel energy consumption, influenced negatively on the continuous change in the logarithmic level of CO2 emissions, in the long-run association. The analysis of impulse response functions (IRF) suggested that a positive shock of CO2 emission has a positive influence on its increasing, and the positive influence has relatively long sustained effectiveness. The inferences derived in this study suggested that a significant transformation of sustainable low carbon future and green energy policy implementations could contribute to control the CO2 emissions while sustaining long-run economic growth in Sri Lanka. Altogether, it recommended that similar studies might be carried out at regular intervals. |
en_US |
dc.language.iso |
en |
en_US |
dc.subject |
MATHEMATICS-Dissertations |
en_US |
dc.subject |
BUSINESS STATISTICS-Dissertations |
en_US |
dc.subject |
CARBON DIOXIDE-Emissions |
en_US |
dc.subject |
ENERGY CONSUMPTION |
en_US |
dc.subject |
JOHANSEN'S COINTEGRATION |
en_US |
dc.subject |
VECTOR ERROR CORRECTION MODEL |
en_US |
dc.title |
The Impact of energy consumption & economic growth on carbon dioxide (CO2 ) emissions in Sri Lanka : a multivariate time series analysis |
en_US |
dc.type |
Thesis-Full-text |
en_US |
dc.identifier.faculty |
Engineering |
en_US |
dc.identifier.degree |
MSc in Business Statistics |
en_US |
dc.identifier.department |
Department of Mathematics |
en_US |
dc.date.accept |
2019 |
|
dc.identifier.accno |
TH4077 |
en_US |