Testing Environmental Kuznets Curve Hypothesis in Somalia: Empirical Evidence from ARDL Technique

Environmental Kuznets Curve Hypothesis: A Survey

The Environmental Kuznets Curve (EKC) hypothesis postulates an inverted-U-shaped relationship between different pollutants and per capita income, i.e., environmental pressure increases up to a certain level as income goes up; after that, it decreases. An EKC actually reveals how a technically specified measurement of environmental quality changes as the fortunes of a country change. A sizeable ...

Reexamining the Empirical Evidence for an Environmental Kuznets Curve

This paper uses an updated and revised panel data set on ambient air pollution in cities worldwide to examine the robustness of the evidence for the existence of an inverted-U-shaped relationship between national income and pollution. We test the sensitivity of the pollution-income relationship to functional forms, to additional covariates, and to changes in the nations, cities, and years sampl...

Testing the Environmental Kuznets Curve Hypothesis for Biodiversity Risk in the US: A Spatial Econometric Approach

This study investigates whether the environmental Kuznets curve (EKC) relationship is supported for a measure of biodiversity risk and economic development across the United States (US). Using state-level data for all 48 contiguous states, biodiversity risk is measured using a Modified Index (MODEX). This index is an adaptation of a comprehensive National Biodiversity Risk Assessment Index. The...

An Empirical Assessment of the N-Shaped Environmental Kuznets Curve Hypothesis

Environmental Kuznets Curve

cointegration Classical regression analysis assumes that the error term in a regression is normally and independently distributed. An extreme violation of this condition is when the error term is a random walk. Such a regression is termed a spurious regression and the results are not reliable. It usually indicates that a required variable with random walk behavior has been omitted from the mode...