Simultaneity Modeling Analysis of the Environmental Kuznets Curve Hypothesis

Adel Ben Youssef, Shawkat Hammoudeh and Anis Omri ()

MPRA Paper from University Library of Munich, Germany

Abstract: The environmental Kuznets curve (EKC) hypothesis has been recognized in the environmental economics literature since the 1990's. Various statistical tests have been used on time series, cross section and panel data related to single and groups of countries to validate this hypothesis. In the literature, the validation has always been conducted by using a single equation. However, since both the environment and income variables are endogenous, the estimation of a single equation model when simultaneity exists produces inconsistent and biased estimates. Therefore, we formulate simultaneous two-equation models to investigate the EKC hypothesis for fifty-six countries, using annual panel data from 1990 to 2012, with the end year is determined by data availability for the panel. To make the panel data analysis more homogeneous, we investigate this issue for a three income-based panels (namely, high-, middle-, and low-income panels) given several explanatory variables. Our results indicate that there exists a bidirectional causality between economic growth and pollution emissions in the overall panels. We also find that the relationship is nonlinear and has an inverted U-shape for all the considered panels. Policy implications are provided.

Keywords: Environment; economic growth; EKC hypothesis; Simultaneous-equation models. (search for similar items in EconPapers)
JEL-codes: O4 Q5 (search for similar items in EconPapers)
Date: 2016-10-17, Revised 2016-10-07
New Economics Papers: this item is included in nep-agr, nep-ene and nep-env
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (28)

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Journal Article: Simultaneity modeling analysis of the environmental Kuznets curve hypothesis (2016)
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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:82609

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