ROLE OF HUMAN CAPITAL, INCOME INEQUALITY AND RENEWABLE ENERGY CONSUMPTION ON CO2 MITIGATION IN MALAYSIA

Rafia Afroz, Riasat Amin Imon, Md Muhibbullah, Shahana Afroz
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Abstract

The present research endeavours to investigate the interconnection among human capital, income inequality, renewable energy consumption, economic growth, and pollution. The ultimate objective is to identify effective policy approaches by uncovering empirical findings. This study employs the innovative approach of dynamic ordinary least square (DOLS) to examine data spanning from 1980 to 2018. In order to evaluate the accuracy of the DOLS estimation, we utilise the fully modified ordinary least square (FMOLS) and canonical correlation regression (CCR) techniques. In order to comprehensively investigate the association between the chosen variables, a paired Granger causality analysis was employed. Findings of this study show that using renewable energy enhances Malaysia's environmental quality, while economic growth, income inequality, and human capital all cause environmental deterioration. Therefore, it is possible that Malaysia could achieve its goal of reducing CO2 emissions and meeting its obligations under the Paris Agreement if it were to successfully adopt policy initiatives to develop human capital, increase the use of renewable energy sources, achieve a low-carbon economy, and reduce the income disparity. The research presents several new findings. The authors show that economic growth is one of the drivers of renewable energy use because it provides inputs for the development of renewable energy technology and infrastructure. But if there is pollution as a result of rapid economic growth, it will also negatively impact worker productivity. As a result, the poor get poorer, and the income inequality gap widens. This will obstruct both economic advancement and government efforts to promote the creation of renewable energy sources.
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人力资本、收入不平等和可再生能源消费对马来西亚二氧化碳减排的作用
本研究旨在探讨人力资本、收入不平等、可再生能源消费、经济增长和污染之间的相互关系。最终目标是通过揭示实证结果来确定有效的政策方法。本研究采用动态普通最小二乘(DOLS)的创新方法对1980 - 2018年的数据进行了检验。为了评估DOLS估计的准确性,我们利用了完全修正的普通最小二乘(FMOLS)和典型相关回归(CCR)技术。为了全面考察所选变量之间的相关性,我们采用了配对格兰杰因果分析。本研究结果表明,使用可再生能源提高了马来西亚的环境质量,而经济增长、收入不平等和人力资本都会导致环境恶化。因此,马来西亚有可能实现其减少二氧化碳排放的目标,并履行其在《巴黎协定》下的义务,如果它成功地采取政策举措,发展人力资本,增加可再生能源的使用,实现低碳经济,并减少收入差距。这项研究提出了几个新的发现。这组作者表明,经济增长是可再生能源使用的驱动因素之一,因为它为可再生能源技术和基础设施的发展提供了投入。但是,如果污染是经济快速增长的结果,它也会对工人的生产力产生负面影响。结果,穷人越来越穷,收入不平等差距扩大。这将阻碍经济发展和政府推动创造可再生能源的努力。
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