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The Environmental Kuznets Curve: A Semiparametric Approachwith Cross-Sectional Dependence

Abstract: This paper proposes a new approach to examine the relationship between CO2emissionsand 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.

 Fuente: Journal of risk and financial management 2020, 13(11), 292

 Editorial: MDPI

 Año de publicación: 2020

 Nº de páginas: 23

 Tipo de publicación: Artículo de Revista

 DOI: 10.3390/jrfm13110292

 ISSN: 1911-8074,1911-8066

 Proyecto español: PID2019-105986GB-C22

 Url de la publicación: https://doi.org/10.3390/jrfm13110292