@article{10902/20282,
year = {2020},
url = {http://hdl.handle.net/10902/20282},
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.},
organization = {The authors gratefully acknowledge financial support from the Programa Estatal de Generación de
Conocimiento y Fortalecimiento Científico y Tecnolótico del Sistema de I+D+i y del Programa Estatal de I+D+i
Orientada a los Retos de la Sociedad/Spanish Ministry of Science and Innovation (Ref. PID2019-105986GB-C22)
for the partial support of this work.},
publisher = {MDPI},
publisher = {Journal of risk and financial management 2020, 13(11), 292},
title = {The Environmental Kuznets Curve: A Semiparametric Approachwith Cross-Sectional Dependence},
author = {Soberón Velez, Alexandra Pilar and D'Hers Sierra, Irene},
}