Sectoral composition of GDP and greenhouse gas emissions: an empirical analysis in EU27

Martín‑Ortega, Juan Luis y González‑Sánchez, Mariano . (2023) Sectoral composition of GDP and greenhouse gas emissions: an empirical analysis in EU27. Environment, Development and Sustainability, 26(1):1-28

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Título Sectoral composition of GDP and greenhouse gas emissions: an empirical analysis in EU27
Autor(es) Martín‑Ortega, Juan Luis
González‑Sánchez, Mariano
Materia(s) Economía
Abstract Understanding the relationship between economic growth and GHG emissions is crucial for achieving sustainable development and the Paris Agreement decarbonization goals. The objective of this paper is to analyse the long-term relationship between sectoral Gross Domestic Product (GDP) and greenhouse gas (GHG) emissions in the EU27 under the framework of the Environmental Kuznets Curve (EKC) theory. Previous research has yielded inconclusive results and presented various drawbacks, such as the omission of sectoral economic growth, poor data quality, and the use of methods that did not enable hypothesis testing. In contrast, this research applies the Autoregressive Distributed Lag (ARDL) method to assess the EKC in the long-term for the industrial, service, and agriculture components of GDP for EU27 countries from 1990 to 2018 using audited data from the United Nations Framework Convention on Climate Change. Despite a wide body of literature, this is the first research to investigate the EKC’s nature in sectoral GDP in the EU-27. The EKC theory has been confirmed statistically in only five countries. Nevertheless, the results imply that economic growth has a lowering impact on the environment in more than half of the EU-27, as the EKC theorizes. A high impact on GHG emissions is observed in the service sector of those countries that combined a high share of services in the national economy with weak energy efficiency performance in the transport and building sectors. Likewise, countries with major employment in carbon-intensive industry branches tend to show a long-term impact on GHG emissions.
Palabras clave Environmental Kuznets curve
Autoregressive distributed lag (ARDL)
Greenhouse gas emissions
European Union
Climate change mitigation
Editor(es) Springer
Fecha 2023
Formato application/pdf
Identificador bibliuned:DptoEEC-FCEE-Articulos-Mgonzalez-0010
http://e-spacio.uned.es/fez/view/bibliuned:DptoEEC-FCEE-Articulos-Mgonzalez-0010
DOI - identifier https://doi.org/10.1007/s10668-023-04048-5
ISSN - identifier 1573-2975, 1387-585X
Nombre de la revista Environment, Development and Sustainability
Número de Volumen 26
Número de Issue 1
Página inicial 1
Página final 28
Publicado en la Revista Environment, Development and Sustainability, 26(1):1-28
Idioma eng
Versión de la publicación publishedVersion
Tipo de recurso Article
Derechos de acceso y licencia http://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
Tipo de acceso Acceso abierto
Notas adicionales The registered version of this article, first published in Environment, Development and Sustainability, is available online at the publisher's website: Springer, https://doi.org/10.1007/s10668-023-04048-5
Notas adicionales La versión registrada de este artículo, publicado por primera vez en Environment, Development and Sustainability, está disponible en línea en el sitio web del editor: Springer, https://doi.org/10.1007/s10668-023-04048-5

 
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Creado: Wed, 06 Mar 2024, 00:01:20 CET