Dynamic impact of economic growth, energy use, foreign direct investment and population on greenhouse gas emission in Bangladesh

Md. Danesh Miah , Mohammad Shahedul Islam , Asif Raihan
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Abstract

Currently, climate change is a burning concern all over the world. It is causing immense pressure on the economy of developing countries due to the adverse climatic events caused by climate change. Greenhouse gas (GHG) emission, being the top justification for causing climate change, has been the center of concern over the years. This study sheds light on how economic advancement, energy use, and foreign direct investment (FDI) coupled with population might influence the emission of GHGs in Bangladesh. The cointegrating relationship among the factors was established via the Autoregressive Distributed Lag (ARDL) bounds test and Johansen cointegration test before performing the regression analysis. The ARDL short- and long-run approach alongside the Dynamic Ordinary Least Squares (DOLS) procedure was implemented to see how each independent variable impacts the emission of GHGs between 1990 and 2019. The ARDL estimation reveals that a 1 % intensification in energy use, economic progress, and population increases GHG emissions by 0.76 %, 0.18 %, and 0.28 %, respectively, in the long run, while a 1 % upsurge in foreign direct FDI reduces emissions of GHGs by 0.07 % in the long run. This outcome will advocate for Bangladesh's policymakers to establish a better platform in future global climate change negotiations.
孟加拉国经济增长、能源使用、外国直接投资和人口对温室气体排放的动态影响
当前,气候变化是全世界关注的热点问题。由于气候变化引起的不利气候事件给发展中国家的经济造成了巨大的压力。温室气体(GHG)排放是导致气候变化的首要原因,多年来一直是人们关注的焦点。这项研究揭示了经济发展、能源使用和外国直接投资(FDI)与人口如何影响孟加拉国的温室气体排放。在进行回归分析之前,通过自回归分布滞后(ARDL)界检验和Johansen协整检验建立各因素之间的协整关系。实施了ARDL短期和长期方法以及动态普通最小二乘法(DOLS)程序,以了解每个自变量如何影响1990年至2019年期间的温室气体排放。ARDL估计表明,从长期来看,能源使用、经济发展和人口每增加1%,温室气体排放量分别增加0.76%、0.18%和0.28%,而外国直接投资每增加1%,温室气体排放量就会减少0.07%。这一结果将促使孟加拉国的政策制定者在未来的全球气候变化谈判中建立一个更好的平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
10.70
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