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Decomposition study of energy-related CO 2 emissions from Bangladesh's transport sector development.
- Source :
-
Environmental science and pollution research international [Environ Sci Pollut Res Int] 2021 Jan; Vol. 28 (4), pp. 4676-4690. Date of Electronic Publication: 2020 Sep 18. - Publication Year :
- 2021
-
Abstract
- The transportation sector has a dominant contribution to the fast-growing economy of the developing country Bangladesh. However, the nature of operating the transportation sector in the country requires an excessive amount of fossil energy which causes the rise of CO <subscript>2</subscript> emissions. Ascertaining the impending factors and technologically to conserve energy, as well as governing CO <subscript>2</subscript> emissions from this sector, are essential to attain sustainable development. The paper endeavors to determine the decomposition of driving factors that affect the relationship between Bangladesh's transport sector development and CO <subscript>2</subscript> emissions due to energy consumption from the year 1990 to 2017 using the Logarithmic-Mean Divisia Index (LMDI) model. The decomposition factors are fragmented into five elements through consideration of five fossil energies which are used in Bangladesh's transportation sector. The result reveals a 106.94% growth of aggregate CO <subscript>2</subscript> emissions in the transportation sector of Bangladesh. The results also show that aggregate influence of economic activity factor, population factor, economic structure factor, and energy intensity factor liable in increase CO <subscript>2</subscript> emissions to 66.03%, 23.56%, 7.64%, and 6.25% respectively. On the contrary, the energy structure factor is accountable for the decrease in CO <subscript>2</subscript> emissions to - 0.80%. Thus, the Bangladesh Government should proliferate mass responsiveness programs and cope with economic development through emphasizing quality of development rather than quantity which will ensure sustainable transport sector development.
Details
- Language :
- English
- ISSN :
- 1614-7499
- Volume :
- 28
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Environmental science and pollution research international
- Publication Type :
- Academic Journal
- Accession number :
- 32946051
- Full Text :
- https://doi.org/10.1007/s11356-020-10846-5