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Revisiting the literature on the dynamic Environmental Kuznets Curves using a latent structure approach
Economia Politica ( IF 1.143 ) Pub Date : 2021-06-28 , DOI: 10.1007/s40888-021-00232-w
Saptorshee Kanto Chakraborty , Massimiliano Mazzanti

Theories of the association between environmental degradation and economic growth are not new and are very important under current global conditions to understand and tackle challenges like decarbonisation and the circular economy among others. Countries must balance growth with environmental degradation, and in the extensive literature that deals with this association, applied economists have largely used the Environmental Kuznets curve (EKC) setting, with different empirical methodologies in various data settings. This paper exploits one of the methodologies to unveil heterogeneity to determine groupings from the data. We consider the countries that account for nearly 80\(\%\) of global carbon dioxide emissions and apply the EKC setting. Using a Classifier Lasso framework that applies latent group methodologies to address unobservable heterogeneity, we find for two distinct groups substantial heterogeneity in types of energy consumption (renewable and total) with both positive and negative effects observed in the data. The results provide a new perspective on potential impacts illustrated in the EKC literature that might be relevant to policy makers.



中文翻译:

使用潜在结构方法重温关于动态环境库兹涅茨曲线的文献

环境退化与经济增长之间关联的理论并不新鲜,在当前全球条件下对于理解和应对脱碳和循环经济等挑战非常重要。各国必须平衡增长与环境退化,在处理这种关联的大量文献中,应用经济学家主要使用环境库兹涅茨曲线 (EKC) 设置,在各种数据设置中使用不同的经验方法。本文利用其中一种方法来揭示异质性,以确定数据的分组。我们考虑占近 80 \(\%\)全球二氧化碳排放量并应用 EKC 设置。使用分类器套索框架应用潜在组方法来解决不可观察的异质性,我们发现两个不同的群体在能源消耗类型(可再生能源和总量)方面存在显着的异质性,在数据中观察到积极和消极影响。结果为可能与政策制定者相关的 EKC 文献中说明的潜在影响提供了新的视角。

更新日期:2021-06-28
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