The Environmental Kuznets Curve: A Semiparametric Approachwith Cross-Sectional Dependence
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URI: http://hdl.handle.net/10902/20282DOI: 10.3390/jrfm13110292
ISSN: 1911-8074
ISSN: 1911-8066
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© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license 4.0
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Journal of risk and financial management 2020, 13(11), 292
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MDPI
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Palabras clave
Environmental Kuznets curve
CO2 emissions
Cross-sectional dependence
Semi-parametric regression
Panel data
Resumen/Abstract
This paper proposes a new approach to examine the relationship between CO2 emissionsand economic developing. In particular, we propose to test the Environmental Kuznets Curve(EKC) hypothesis for a panel of24OECD countries and32non-OECD countries by developinga more flexible estimation technique which enables to account for functional form misspecification, cross-sectional dependence, and heterogeneous relationships among variables, simultaneously. We propose a new nonparametric estimator that extends the well-known Common CorrelatedEffect (CCE) approach from a fully parametric framework to a semiparametric panel data model. Our results corroborates that the nature and validity of the income-pollution relationship basedon the EKC hypothesis depends on the model assumptions about the functional form specification. For all the countries analyzed, the proposed semiparametric estimator leads to non-monotonicallyincreasing or decreasing relationships for CO2emissions, depending on the level of economicdevelopment of the country.
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