Factors Contributing CO2 Emissions: A Linear, Nonlinear, and Panel ARDL Model

Rabeya Basri, Chaleampong Kongcharoen
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引用次数: 5

Abstract

The study examines the linear and nonlinear relationships between per capita carbon dioxide emissions, per capita real GDP, energy consumption, financial development, foreign direct investment, trade openness, urbanization, agriculture, and industry sectors as potential determining factors of CO2 emissions in the perspective of Bangladesh all through 44 years, starting from 1974. The study also considers the CO2 emissions from the selected South Asian countries over the period from 1978 and 2018. The study uses three cointegration approaches. First, we employ linear cointegration method and find that crucial determining factors of CO2 emissions in Bangladesh are real GDP per capita, energy consumption, and urbanization. Then, we apply the nonlinear cointegration method and find that energy consumption and foreign direct investment have asymmetric impacts on carbon release in the long run. While energy consumption, financial development, and FDI have asymmetric influence in the short run. Finally, we apply a panel cointegration test to compare Bangladesh with other South Asian countries in terms of CO2 emissions. The estimated results disclose that the vital contributing factors of CO2 emissions in selected South Asian countries are real GDP, energy consumption, financial development, and urbanization. Our results show that energy consumption, financial development, and urbanization upturn CO2 emissions, while trade openness lowers emissions. We claim that our results are consistent with the EKC hypothesis for both in Bangladesh and selected South Asian countries. The three cointegration estimation findings disclose that urbanization will deteriorate environmental worth in Bangladesh and selected South Asian countries in the long run.
二氧化碳排放的影响因素:一个线性、非线性和面板ARDL模型
该研究从1974年开始的44年间,从孟加拉国的角度考察了人均二氧化碳排放量、人均实际GDP、能源消耗、金融发展、外国直接投资、贸易开放、城市化、农业和工业部门之间的线性和非线性关系,作为二氧化碳排放的潜在决定因素。该研究还考虑了1978年至2018年期间选定的南亚国家的二氧化碳排放量。本研究采用三种协整方法。首先,我们采用线性协整方法,发现孟加拉国的二氧化碳排放量的关键决定因素是实际人均GDP,能源消耗和城市化。在此基础上,运用非线性协整方法,发现能源消费和外商直接投资对碳排放的长期影响是不对称的。而能源消费、金融发展和FDI在短期内的影响是不对称的。最后,我们运用面板协整检验来比较孟加拉国与其他南亚国家的二氧化碳排放量。估算结果表明,在选定的南亚国家中,二氧化碳排放的重要贡献因素是实际GDP、能源消耗、金融发展和城市化。研究结果表明,能源消费、金融发展和城市化提升了二氧化碳排放,而贸易开放降低了二氧化碳排放。我们声称我们的结果与孟加拉国和选定的南亚国家的EKC假设一致。三个协整估计结果表明,从长远来看,城市化将恶化孟加拉国和选定的南亚国家的环境价值。
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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