Statistical polarization in greenhouse gas emissions: Theory and evidence.

Abstract: The current debate on climate change is over whether global warming can be limited in order to lessen its impacts. In this sense, evidence of a decrease in the statistical polarization in greenhouse gas (GHG) emissions could encourage countries to establish a stronger multilateral climate change agreement. Based on the interregional and intraregional components of the multivariate generalised entropy measures (Maasoumi, 1986), Gigliarano and Mosler (2009) proposed to study the statistical polarization concept from a multivariate view. In this paper, we apply this approach to study the evolution of such phenomenon in the global distribution of the main GHGs. The empirical analysis has been carried out for the time period 1990-2011, considering an endogenous grouping of countries (Aghevli and Mehran, 1981; Davies and Shorrocks, 1989). Most of the statistical polarization indices showed a slightly increasing pattern that was similar regardless of the number of groups considered. Finally, some policy implications are commented.

Otras publicaciones de la misma revista o congreso con autores/as de la Universidad de Cantabria

 Fuente: Environmental pollution, nº 230, 2017, 291-301

Editorial: Elsevier

 Año de publicación: 2017

Nº de páginas: 11

Tipo de publicación: Artículo de Revista

DOI: 10.1016/j.envpol.2017.06.074.

ISSN: 0269-7491,1873-6424

Proyecto español: (Project ECO2016-7603-C2-1-PE) ; (Project APIE 1/2015-17)

Url de la publicación: http://dx.doi.org/10.1016/j.envpol.2017.06.074.