On the way to sustainable energy management in tourism: Findings from a Bibliometric Study
Energy management in the tourism sector is essential to promote sustainable and efficient practices to reduce operating costs, mitigate environmental impact and improve the competitiveness of tourism enterprises. Despite the importance of this topic, there is a lack of bibliometric studies on energy...
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Published in: | Revista interamericana de ambiente y turismo Vol. 20; no. 1; pp. 70 - 84 |
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Main Authors: | , , , |
Format: | Journal Article |
Language: | English Portuguese |
Published: |
Universidad de Talca. Facultad de Economía y Negocios
01-06-2024
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Subjects: | |
Online Access: | Get full text |
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Summary: | Energy management in the tourism sector is essential to promote sustainable and efficient practices to reduce operating costs, mitigate environmental impact and improve the competitiveness of tourism enterprises. Despite the importance of this topic, there is a lack of bibliometric studies on energy management in the tourism sector. Therefore, the aim of this research is to map the scientific production related to this topic. To carry out this study, the bibliometric method was employed using the R package Bibliometrix to analyse indicators of productivity, impact and collaboration, extracted from the SCOPUS database. As results, a total of 201 articles published between 1977 and 2024 were identified, highlighting authors such as Acosta A, Burnett J and Park S for their prolific production and significant contributions to the field. Topics such as "Energy Management", "Energy Efficiency", "Energy Consumption" and "Sustainability" emerge as relevant and trending research topics. Furthermore, guidelines are proposed to improve energy efficiency in the tourism sector, such as the implementation of renewable energies and alternative sources such as solar, wind and biomass, as well as the adoption of intelligent energy management systems. It is concluded that future lines of research should be directed towards the use of deep learning algorithms for autonomous energy management systems in microgrids, as well as the development of systems based on the ISO 50001 standard. |
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ISSN: | 0718-235X 0718-235X |
DOI: | 10.4067/s0718-235x2024000100070 |