Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/214256 
Year of Publication: 
2019
Citation: 
[Journal:] Pakistan Journal of Commerce and Social Sciences (PJCSS) [ISSN:] 2309-8619 [Volume:] 13 [Issue:] 4 [Publisher:] Johar Education Society, Pakistan (JESPK) [Place:] Lahore [Year:] 2019 [Pages:] 868-891
Publisher: 
Johar Education Society, Pakistan (JESPK), Lahore
Abstract: 
Climate change induced by the growth of carbon dioxide emissions has become a global concern. Therefore, it's necessary to pinpoint the factors thatdrive carbon emissions to provide suitable mitigation policies. This study uses Taipo Decoupling Index and Log MeanDivisa Index (LMDI) decomposition techniques to examine Pakistan's decoupling status between environmental impact and economic growth and to analyzedriving forces of carbon emissions over a time span of 1990-2014.The outcome suggests that Pakistan has experienced four decoupling statuses, where the most prominent is the expensive negative decoupling status. Furthermore, energy intensity and carbon intensity usually encouraged decoupling, while economic growth and energy structure restricted it. The population has a neutral effect on decoupling. The decomposition results demonstrated that population, energy structure, and economic growth significantly contributed to carbon emissions. While, energy and carbon intensity help in curbing carbon emissions. Thisstudy provides useful insights to mitigation carbon emissions. Besides, it also helps in promoting sustainable economic growth.
Subjects: 
log mean divisia index
decomposition
CO2
decoupling elasticity analysis
Pakistan
Creative Commons License: 
cc-by-nc Logo
Document Type: 
Article

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