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The role of financial development, energy demand, and technological change in environmental sustainability agenda: evidence from selected Asian countries

机译:环境可持续发展议程中的金融发展,能源需求和技术变革的作用:来自所选亚洲国家的证据

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The study seeks to examine the policy scheme of Asian countries and their efforts to achieve sustainable environmental practices in terms of green growth, green financing, and CO2emission reduction programs. This study investigates the role of GDP growth, sources of energy consumption, and other plausible hypothetical factors in CO2 emissions using evidence from selected Asian countries over the period of 1980-2015. The contribution of this research is unique, with the use of these plausible variables under the framework of EKC, which makes this study different from other studies and helps fill a gap in the literature. This study has used panel Fully Modified OLS (FMOLS) test, the panel Granger causality test namely the Dumitrescu-Hurlin test (2012) and the Innovative Accounting Approach. The results of FMOLS for the full panel set indicates the presence of an EKC hypothesis, where the impact of GDP growth and the square of GDP growth on CO2 emissions are positive and negative, respectively, in the context of 10 Asian economies. The findings of FMOLS for lower income economies do not support the EKC hypothesis; however, the results exhibit that high and upper middle income economies maintain the EKC hypothesis. The results of high income and upper middle income economies confirm the existence of the environment Kuznets curve, and the results of GDP(it) show that both significantly positively impact logGDP(it)on CO2 emission.
机译:该研究旨在审查亚洲国家的政策方案及其在绿色增长,绿色融资和CO2EMASE减少方案方面实现可持续环境实践的努力。本研究调查了GDP增长,能源消耗来源和其他合理的假设因素在1980 - 2015年期间的二氧化碳排放中的其他合理假设因素的作用。该研究的贡献是独一无二的,在EKC框架下使用这些合理的变量,这使得这项研究与其他研究不同,有助于填补文献中的差距。本研究采用面板完全改性OLS(FMOL)测试,面板格兰杰因果关系试验即Dumitrescu-Hurlin测试(2012)和创新的会计方法。全面板集的F​​mols结果表明存在EKC假设,其中GDP增长的影响和GDP增长在10个亚洲经济体的背景下分别为正负,负数分别为正且阴性。较低收入经济体的FMOLS的调查结果不支持EKC假设;然而,结果表明,高中和高中收入经济体维持EKC假设。高收入和高中收入经济体的结果证实了环境库兹涅茨曲线的存在,以及GDP(IT)的结果表明,两者都会显着影响LOGGDP(IT)对二氧化碳排放。

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