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Residential Energy Consumption-A Computational Bibliometric Analysis
dc.contributor.author | Quintana, Daniela I. | |
dc.contributor.author | Cansino, José M. | |
dc.date.accessioned | 2024-04-10T00:30:52Z | |
dc.date.available | 2024-04-10T00:30:52Z | |
dc.date.issued | 2023 | |
dc.identifier | 10.3390/buildings13061525 | |
dc.identifier.issn | 20755309 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12728/10466 | |
dc.description.abstract | This paper conducted a systematic literature review (SLR) of peer-review documents focused on residential energy consumption. The main finding of this SLR derived from its computational implementation, filling a gap in the available literature. The paper had two main objectives: (i) the SLR itself; and (ii) to systematically identify the main policy measures oriented at reducing energy consumption recommended by the available literature and its related greenhouses gas emissions. A significant lack of a connection between scientific fields was identified. The fields of energy, engineering and environmental science are those that have addressed these topics the most. The sub-field with the largest presence is energy, with 29.5%, followed by engineering (23.9%) and the environment (21.3%). It is recommended that this gap be bridged because many of the main political measures in force to reduce residential energy consumption come from economics and need to be explored from a social science perspective to choose those measures that are more cost-effective. © 2023 by the authors. | es_ES |
dc.description.sponsorship | Cátedra de Economía de la Energía y del Medio Ambiente; Departamento de Análisis Económico y Economía Política; Red Eléctrica de España at the University of Seville; Universidad de Sevilla, (SEJ-132); Universidad Autónoma de Coahuila, UAdeC | es_ES |
dc.language.iso | en | es_ES |
dc.publisher | MDPI | es_ES |
dc.subject | energy consumption | es_ES |
dc.subject | energy efficiency | es_ES |
dc.subject | energy utilization | es_ES |
dc.subject | greenhouse gases | es_ES |
dc.subject | residential building | es_ES |
dc.title | Residential Energy Consumption-A Computational Bibliometric Analysis | es_ES |
dc.type | Article | es_ES |