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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.

Other publications of the same journal or congress with authors from the University of Cantabria

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

Publisher: MDPI

 Year of publication: 2020

No. of pages: 23

Publication type: Article

 DOI: 10.3390/jrfm13110292

ISSN: 1911-8074,1911-8066

 Spanish project: PID2019-105986GB-C22

Publication Url: https://doi.org/10.3390/jrfm13110292

Authorship

IRENE D´HERS SIERRA