调查生态足迹和绿色金融:来自新兴经济体的证据

IF 1.8 Q2 ECONOMICS
G. Vardar, Berna Aydoğan, Beyza Gürel
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引用次数: 0

摘要

目的考虑到绿色金融不断发展的重要性,本研究使用与气候相关的发展减缓融资作为绿色金融的替代物,并研究了 2000-2018 年间绿色金融对作为环境质量指标的生态足迹的影响,以及对 47 个发展中国家的经济增长、可再生能源、温室气体排放、贸易开放度和城市化的影响。由于发现所有变量都是静态的,因此采用韦斯特伦德协整技术来检测变量之间的长期关系。然后,使用完全修正普通最小二乘法(FMOLS)、动态普通最小二乘法(DOLS)和集合均值组-自回归分布滞后法(PMG-ARDL)对因变量和自变量之间的长期弹性进行了检验。实证研究结果表明,样本中选定的发展中国家的生态足迹、绿色金融、经济增长、可再生能源消耗、温室气体排放、贸易开放度和城市化等所有变量之间都存在长期关系。此外,经济增长、温室气体排放、贸易开放度和城市化都对生态足迹有显著的正向影响,而可再生能源消费和绿色金融则对生态足迹有显著的负向影响,这支持了一种观点,即随着可再生能源技术的更多使用和更多绿色金融的分配,环境质量会得到改善。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigating the ecological footprint and green finance: evidence from emerging economies
PurposeConsidering the evolving importance of green finance, this study uses climate-related development mitigation finance as a proxy of green finance and investigates the impact of green finance on ecological footprint as an indicator of environmental quality along with the influence of economic growth, renewable energy, greenhouse gas emissions, trade openness and urbanization across 47 developing countries over the period 2000–2018.Design/methodology/approachAfter finding the presence of cross-sectional dependency among variables, the second-generation panel unit root test was employed to detect the order of integration among the variables. Since all the variables were found to be stationary, Westerlund cointegration technique was employed to detect the long-run relationship among the variables. Then, the long-run elasticity among the dependent and independent variables was tested using fully modified ordinary least squares (FMOLS), dynamic ordinary least squares (DOLS) and pooled mean group–autoregressive distributed lag (PMG–ARDL) approaches.FindingsThe empirical findings suggest the presence of long-run relationship among all the variables, namely, ecological footprint, green finance, economic growth, renewable energy consumption, greenhouse gas emissions, trade openness and urbanization for the selected developing countries in the sample. Furthermore, economic growth, greenhouse gas emissions, trade openness and urbanization, all have a positive and significant impact on the ecological footprint, whereas renewable energy consumption and green finance have a significant and negative impact on the ecological footprint, which supports the view that environmental quality is improved with the greater use of renewable energy technologies and allocation of greater amounts of more green finance.Originality/valueThe empirical results of this study offer policymakers and regulators some implications for environmental policy for protecting the countries from ecological issues.
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来源期刊
CiteScore
1.80
自引率
5.60%
发文量
83
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