Cluster Analysis and Macroeconomic Indicators and Their Effects on the Evolution of the Use of Clean Energies

Primer Autor
Rubilar-Torrealba, Rolando
Co-autores
Chahuan-Jimenez, Karime
de la Fuente-mella, Hanns
Geldres-Weiss, Valeska V.
Título
Cluster Analysis and Macroeconomic Indicators and Their Effects on the Evolution of the Use of Clean Energies
Editorial
MDPI
Revista
ENERGIES
Lenguaje
en
Resumen
The aim of this research is to relate clean energies, CO2 emissions, and economic variables. Relationships can be generated that characterize countries that manage to relate the use of clean energy with GDP, economic openness, and economic growth. We employ a quantitative methodology that utilizes clustering techniques to identify distinct groups of countries based on their susceptibility to climate change impacts. Subsequently, we employ a generalized linear model approach to estimate the investment behaviors of these country groups in alternative energy sources in relation to CO2 emissions and macroeconomic variables. The clusters reveal that the countries grouped in each cluster exhibit significantly distinct behaviors among the clusters. This differentiation is grounded in the countries under analysis, showing the evolution of the countries in terms of the use of clean energy and the emission of CO(2 )in relation to macroeconomic variables. According to the conducted research, there are different groups with differentiated behavior in terms of energy consumption and CO2 emissions, which implies the implementation of policies consistent with the development characteristics of the countries and how they cope with climate risk. Moreover, as a result of this research, a recommendation for policy makers could be that sustainable and clean development countries are based in three different sustainability dimensions: environmental, economic, and social.
Fecha Publicación
2023
Tipo de Recurso
artículo original
doi
10.3390/en16227561
Formato Recurso
PDF
Palabras Claves
CO2 emissions
GDP
clean energy
macroeconomic variables
cluster analysis
econometric models
Ubicación del archivo
http://dx.doi.org/10.3390/en16227561
Categoría OCDE
Energía y combustibles
Materias
Emisiones de CO2
PIB
energia limpia
variables macroeconómicas
análisis de conglomerados
modelos econométricos
Identificador del recurso (Mandatado-único)
artículo original
Versión del recurso (Recomendado-único)
versión publicada
License
CC BY 4.0
Condición de la licencia (Recomendado-repetible)
CC BY 4.0
Derechos de acceso
acceso abierto
Access Rights
acceso abierto
Id de Web of Science
WOS:001120176900001
Tipo de ruta
verde# dorado
Categoría WOS
Energía y combustibles
Referencia del Financiador (Mandatado si es aplicable-repetible)
ANID
Colecciones
Colección Publicaciones Científicas
Colección ANID
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