Hossain Md Afzal, Chen Songsheng, Khan Abdul Gaffar
School of Management and Economics, Beijing Institute of Technology, Beijing, 100081, China.
Department of Management, Mawlana Bhashani Science and Technology University, Tangail, 1903, Bangladesh.
Environ Sci Pollut Res Int. 2021 Jan;28(4):4676-4690. doi: 10.1007/s11356-020-10846-5. Epub 2020 Sep 18.
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 emissions. Ascertaining the impending factors and technologically to conserve energy, as well as governing CO 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 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 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 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 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.
交通运输部门对发展中国家孟加拉国快速增长的经济有着重要贡献。然而,该国交通运输部门的运营性质需要大量化石能源,这导致了碳排放的增加。确定即将出现的因素并从技术上节约能源,以及控制该部门的碳排放,对于实现可持续发展至关重要。本文试图使用对数平均迪氏指数(LMDI)模型,确定1990年至2017年期间影响孟加拉国交通运输部门发展与能源消费导致的碳排放之间关系的驱动因素分解情况。通过考虑孟加拉国交通运输部门使用的五种化石能源,将分解因素细分为五个要素。结果显示,孟加拉国交通运输部门的碳排放总量增长了106.94%。结果还表明,经济活动因素、人口因素、经济结构因素和能源强度因素的综合影响分别使碳排放增加了66.03%、23.56%、7.64%和6.25%。相反,能源结构因素使碳排放减少了-0.80%。因此,孟加拉国政府应推广大众响应计划,并通过强调发展质量而非数量来应对经济发展,这将确保交通运输部门的可持续发展。