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Spatial-Temporal Characteristics and Driving Factors of the Eco-Efficiency of Tourist Hotels in China
At present, COVID-19 is seriously affecting the economic development of the hotel industry, and at the same time, the world is vigorously calling for “carbon emission mitigation”. Under these two factors, tourist hotels are in urgent need of effective tools to balance economic and social contributio...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9517199/ https://www.ncbi.nlm.nih.gov/pubmed/36141784 http://dx.doi.org/10.3390/ijerph191811515 |
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author | Ba, Duoxun Zhang, Jing Dong, Suocheng Xia, Bing Mu, Lin |
author_facet | Ba, Duoxun Zhang, Jing Dong, Suocheng Xia, Bing Mu, Lin |
author_sort | Ba, Duoxun |
collection | PubMed |
description | At present, COVID-19 is seriously affecting the economic development of the hotel industry, and at the same time, the world is vigorously calling for “carbon emission mitigation”. Under these two factors, tourist hotels are in urgent need of effective tools to balance economic and social contributions with ecological and environmental impacts. Therefore, this paper takes Chinese tourist hotels as the research object and constructs a research framework for Chinese tourist hotels by constructing a Super-SBM Non-Oriented model. We measured the economic efficiency and eco-efficiency of Chinese tourist hotels from 2000 to 2019; explored spatial-temporal evolution patterns of their income, carbon emissions, eco-efficiency, and economic efficiency through spatial hotspot analysis and center of gravity analysis; and identified the spatial agglomeration characteristics of such hotels through the econometric panel Tobit model to identify the different driving factors inside and outside the tourist hotel system. The following results were obtained: (1) the eco-efficiency of China’s tourist hotels is higher than the economic efficiency, which is in line with the overall Kuznets curve theory, but the income and carbon emissions have not yet been decoupled; (2) most of China’s tourist hotels are crudely developed with much room for improving the economic efficiency, and most of the provincial and regional tourist hotels are at a low-income level, but the carbon emissions are still on the increase; and (3) income, labor, carbon emissions, waste emissions, and water consumption are the internal drivers of China’s tourist hotels, while industrial structure, urbanization rate, energy efficiency, and information technology are the external drivers of China’s tourist hotels. The research results provide a clear path for the reduction in carbon emissions and the improvement of the eco-efficiency of Chinese tourist hotels. Under the backdrop of global climate change and the post-COVID-19 era, the research framework and conclusions provide references for countries with new economies similar to China and countries that need to quickly restore the hotel industry. |
format | Online Article Text |
id | pubmed-9517199 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-95171992022-09-29 Spatial-Temporal Characteristics and Driving Factors of the Eco-Efficiency of Tourist Hotels in China Ba, Duoxun Zhang, Jing Dong, Suocheng Xia, Bing Mu, Lin Int J Environ Res Public Health Article At present, COVID-19 is seriously affecting the economic development of the hotel industry, and at the same time, the world is vigorously calling for “carbon emission mitigation”. Under these two factors, tourist hotels are in urgent need of effective tools to balance economic and social contributions with ecological and environmental impacts. Therefore, this paper takes Chinese tourist hotels as the research object and constructs a research framework for Chinese tourist hotels by constructing a Super-SBM Non-Oriented model. We measured the economic efficiency and eco-efficiency of Chinese tourist hotels from 2000 to 2019; explored spatial-temporal evolution patterns of their income, carbon emissions, eco-efficiency, and economic efficiency through spatial hotspot analysis and center of gravity analysis; and identified the spatial agglomeration characteristics of such hotels through the econometric panel Tobit model to identify the different driving factors inside and outside the tourist hotel system. The following results were obtained: (1) the eco-efficiency of China’s tourist hotels is higher than the economic efficiency, which is in line with the overall Kuznets curve theory, but the income and carbon emissions have not yet been decoupled; (2) most of China’s tourist hotels are crudely developed with much room for improving the economic efficiency, and most of the provincial and regional tourist hotels are at a low-income level, but the carbon emissions are still on the increase; and (3) income, labor, carbon emissions, waste emissions, and water consumption are the internal drivers of China’s tourist hotels, while industrial structure, urbanization rate, energy efficiency, and information technology are the external drivers of China’s tourist hotels. The research results provide a clear path for the reduction in carbon emissions and the improvement of the eco-efficiency of Chinese tourist hotels. Under the backdrop of global climate change and the post-COVID-19 era, the research framework and conclusions provide references for countries with new economies similar to China and countries that need to quickly restore the hotel industry. MDPI 2022-09-13 /pmc/articles/PMC9517199/ /pubmed/36141784 http://dx.doi.org/10.3390/ijerph191811515 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ba, Duoxun Zhang, Jing Dong, Suocheng Xia, Bing Mu, Lin Spatial-Temporal Characteristics and Driving Factors of the Eco-Efficiency of Tourist Hotels in China |
title | Spatial-Temporal Characteristics and Driving Factors of the Eco-Efficiency of Tourist Hotels in China |
title_full | Spatial-Temporal Characteristics and Driving Factors of the Eco-Efficiency of Tourist Hotels in China |
title_fullStr | Spatial-Temporal Characteristics and Driving Factors of the Eco-Efficiency of Tourist Hotels in China |
title_full_unstemmed | Spatial-Temporal Characteristics and Driving Factors of the Eco-Efficiency of Tourist Hotels in China |
title_short | Spatial-Temporal Characteristics and Driving Factors of the Eco-Efficiency of Tourist Hotels in China |
title_sort | spatial-temporal characteristics and driving factors of the eco-efficiency of tourist hotels in china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9517199/ https://www.ncbi.nlm.nih.gov/pubmed/36141784 http://dx.doi.org/10.3390/ijerph191811515 |
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