Abstract
Climate change induced by the growth of carbon dioxide emissions has become a global
concern. Therefore, it's necessary to pinpoint the factors that drive carbon emissions to
provide suitable mitigation policies. This study uses Taipo Decoupling Index and Log
Mean Divisa Index (LMDI) decomposition techniques to examine Pakistan’s decoupling
status between environmental impact and economic growth and to analyze driving 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.
This study provides useful insights to mitigation carbon emissions. Besides, it also helps
in promoting sustainable economic growth.
Sher Khan, Muhammad Tariq Majeed. (2019) Decomposition and Decoupling Analysis of Carbon Emissions from Economic Growth: A Case Study of Pakistan, Pakistan Journal of Commerce and Social Sciences, Volume 13, Issue 4.
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