dc.contributor.author | Soberón Velez, Alexandra Pilar | |
dc.contributor.author | D'Hers Sierra, Irene | |
dc.contributor.other | Universidad de Cantabria | es_ES |
dc.date.accessioned | 2021-01-08T13:10:57Z | |
dc.date.available | 2021-01-08T13:10:57Z | |
dc.date.issued | 2020 | |
dc.identifier.issn | 1911-8074 | |
dc.identifier.issn | 1911-8066 | |
dc.identifier.other | PID2019-105986GB-C22 | |
dc.identifier.uri | http://hdl.handle.net/10902/20282 | |
dc.description.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. | es_ES |
dc.description.sponsorship | 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. | es_ES |
dc.format.extent | 23 p. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_ES |
dc.rights | © 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 | es_ES |
dc.source | Journal of risk and financial management 2020, 13(11), 292 | es_ES |
dc.subject.other | Environmental Kuznets curve | es_ES |
dc.subject.other | CO2 emissions | es_ES |
dc.subject.other | Cross-sectional dependence | es_ES |
dc.subject.other | Semi-parametric regression | es_ES |
dc.subject.other | Panel data | es_ES |
dc.title | The Environmental Kuznets Curve: A Semiparametric Approachwith Cross-Sectional Dependence | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.relation.publisherVersion | https://doi.org/10.3390/jrfm13110292 | es_ES |
dc.rights.accessRights | openAccess | es_ES |
dc.identifier.DOI | 10.3390/jrfm13110292 | |
dc.type.version | publishedVersion | es_ES |