The long-run relationship between economic growth, financial development, trade openness and CO2 emissions in Malaysia

Wajahat Ali, Azrai Abdullah
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引用次数: 3

Abstract

The proposed study will investigate the relationship between the carbon dioxide and its determinants like economic growth, financial development and trade openness for a time period 1970-2012. Theoretical and empirical contradictions in literature exists on the relationship between the variables of the study, but these variables are still very important in determining the CO2 emissions. In line with the Environmental Kuznets Curve (EKC) hypothesis it is expected that economic growth will improve environmental quality in the long-run. Similarly, it is hypothesized that financial sector development will reduce the CO2 emissions which will lead to the betterment in quality of environment in case of Malaysia during the study period. It is supposed that increase in the imports of the country will focus on the environmental friendly technology and openness will decrease the level of pollution. The relationship and impact of the variables is unclear and controversial in different case studies and also panel studies, which make it a center of discussion for further research. The proposed study will employ vector error correction model (VECM) approach to investigate the relationship between the variables. For the robustness of results it is suggested to employ impulse response function (IRF) and variance decomposition (VD).
马来西亚经济增长、金融发展、贸易开放与二氧化碳排放的长期关系
该研究将调查1970-2012年期间二氧化碳与其经济增长、金融发展和贸易开放等决定因素之间的关系。文献中对于研究变量之间的关系存在理论和实证矛盾,但这些变量在确定CO2排放量时仍然是非常重要的。根据环境库兹涅茨曲线(EKC)假设,预计经济增长将在长期内改善环境质量。同样,假设在研究期间,金融部门的发展将减少二氧化碳排放,从而导致马来西亚环境质量的改善。据推测,国家进口的增加将集中在环保技术上,开放将降低污染水平。在不同的案例研究和小组研究中,变量之间的关系和影响是不明确的和有争议的,这使得它成为进一步研究的讨论中心。本研究将采用向量误差修正模型(VECM)的方法来研究变量之间的关系。为了保证结果的鲁棒性,建议采用脉冲响应函数(IRF)和方差分解(VD)。
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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