环境库兹涅茨曲线:探索一种新的规范

David F. Bradford, Rebecca A Fender, Stephen H. Shore, Martin Wagner
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引用次数: 150

摘要

本文的目的主要是方法论上的。使用一个新的规范,我们重新分析了吉恩·格罗斯曼和艾伦·克鲁格在他们著名的关于环境库兹涅茨曲线的论文中调查的全球环境质量数据(该论文假设收入水平和污染之间呈反u型关系)。这个新的规范避免在面板估计中使用潜在的非平稳回归量的非线性变换,这是困扰许多现有文献的主要未解决的计量经济学问题。我们进一步得出了固定效应估计的结论,这是格罗斯曼和克鲁格未能做到的。我们的估计结果表明,14种污染物中只有6种存在EKC,而格罗斯曼和克鲁格发现除了一种污染物外,所有污染物都存在EKC。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Environmental Kuznets Curve: Exploring a Fresh Specification
Abstract The objective of this paper is primarily methodological. Using a new specification, we reanalyze the data on worldwide environmental quality investigated by Gene Grossman and Alan Krueger in their well-known paper on the environmental Kuznets curve (which postulates an inverse U-shaped relationship between income level and pollution). This new specification avoids using nonlinear transformations of potentially nonstationary regressors in panel estimation, which is a major unresolved econometric problem plaguing much of the existing literature. We furthermore draw conclusions from fixed effects estimation, which had eluded Grossman and Krueger. Our estimation results indicate the presence of an EKC for only six of the fourteen pollutants, whereas Grossman and Krueger find support for all but one pollutant.
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