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Environmental Kuznets curve for CO_2 emissions: a literature survey

机译:二氧化碳排放的环境库兹涅茨曲线:文献调查

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PurposeThe purpose of this paper is to provide a survey of the empirical literature on environmental Kuznets curve (EKC) estimation of carbon dioxide (CO2) emissions over the period of 19912017.Design/methodology/approachThis survey categorizes the studies on the basis of power of income in empirical models of EKC. It has been hypothesized that the EKC shows an inverted U-shaped association between economic growth and CO2 emissions.FindingsFor all the contexts, the results of EKC estimation for CO2 emissions are inconclusive in nature. The reasons behind this discrepancy can be attributed to the choice of contexts, time period, explanatory variables, and methodological adaptation.Research limitations/implicationsThe future studies in this context should not only consider new set of variables (e.g. corruption index, social indicators, political scenario, energy research and development expenditures, foreign capital inflows, happiness, population education structure, public investment toward alternate energy exploration, etc.), but also the data set should be refined, so that the EKC estimation issues raised by Stern (2004) can be addressed.Originality/valueBy far, no study in the literature of ecological economics has focused on the empirical estimation of EKC for CO2 emissions. This particular context has been used for this study, as CO2 is one of the highest studied pollutants in the ecological economics, and especially within the EKC hypothesis framework.
机译:目的本文的目的是对19912017年期间环境Kuznets曲线(EKC)估计二氧化碳(CO2)排放的经验文献进行调查。设计/方法/方法本调查将研究结果归纳为EKC经验模型中的收入。据推测,EKC在经济增长与CO2排放之间呈倒U型联系。调查结果在所有情况下,EKC估算CO2排放的结果在本质上都是不确定的。这种差异背后的原因可以归因于环境的选择,时间段,解释性变量和方法的适应性。研究局限/含义在这种情况下的未来研究不仅应考虑新的变量集(例如腐败指数,社会指标,政治因素)。情景,能源研究与开发支出,外资流入,幸福感,人口教育结构,用于替代能源勘探的公共投资等),还应完善数据集,以便Stern(2004)提出的EKC估计问题原创性/价值到目前为止,生态经济学文献中还没有研究集中在对二氧化碳排放的EKC的经验估计上。由于CO2是生态经济学中研究最多的污染物之一,尤其是在EKC假设框架内,因此该特定背景已用于本研究。

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