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The spillover of tourism development on CO(2) emissions: a spatial econometric analysis
Climate change and tourism’s interaction and vulnerability have been among the most hotly debated topics recently. In this context, the study focuses on how CO(2) emissions, the primary cause of global warming and climate change, respond to changes in tourism development. In order to do so, the impa...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8638795/ https://www.ncbi.nlm.nih.gov/pubmed/34859343 http://dx.doi.org/10.1007/s11356-021-17026-z |
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author | Jiaqi, Yan Yang, Song Ziqi, Yu Tingting, Li Teo, Brian Sheng Xian |
author_facet | Jiaqi, Yan Yang, Song Ziqi, Yu Tingting, Li Teo, Brian Sheng Xian |
author_sort | Jiaqi, Yan |
collection | PubMed |
description | Climate change and tourism’s interaction and vulnerability have been among the most hotly debated topics recently. In this context, the study focuses on how CO(2) emissions, the primary cause of global warming and climate change, respond to changes in tourism development. In order to do so, the impact of tourism development on CO(2) emissions in the most visited countries is investigated. A panel data from 2000 to 2017 for top 70 tourist countries are analysed using a spatial econometric method to investigate the spatial effect of tourism on environmental pollution. The direct, indirect, and overall impact of tourism on CO(2) emissions are estimated using the most appropriate generalized nested spatial econometric (GNS) method. The findings reveal that tourism has a positive direct effect and a negative indirect effect; both are significant at the 1% level. The negative indirect effect of tourism is greater than its direct positive effect, implying an overall significantly negative impact. Further, the outcome of financial development and CO(2) emissions have an inverted U-shaped and U-shaped relationship in direct and indirect impacts. Population density, trade openness, and economic growth significantly influence environmental pollution. In addition, education expenditure and infrastructure play a significant moderating role among tourism and environmental pollution. The results have important policy implications as they establish an inverted-U-shaped relationship among tourism and CO(2) emissions and indicate that while a country’s emissions initially rise with the tourism industry’s growth, it begins declining after a limit. |
format | Online Article Text |
id | pubmed-8638795 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-86387952021-12-03 The spillover of tourism development on CO(2) emissions: a spatial econometric analysis Jiaqi, Yan Yang, Song Ziqi, Yu Tingting, Li Teo, Brian Sheng Xian Environ Sci Pollut Res Int Research Article Climate change and tourism’s interaction and vulnerability have been among the most hotly debated topics recently. In this context, the study focuses on how CO(2) emissions, the primary cause of global warming and climate change, respond to changes in tourism development. In order to do so, the impact of tourism development on CO(2) emissions in the most visited countries is investigated. A panel data from 2000 to 2017 for top 70 tourist countries are analysed using a spatial econometric method to investigate the spatial effect of tourism on environmental pollution. The direct, indirect, and overall impact of tourism on CO(2) emissions are estimated using the most appropriate generalized nested spatial econometric (GNS) method. The findings reveal that tourism has a positive direct effect and a negative indirect effect; both are significant at the 1% level. The negative indirect effect of tourism is greater than its direct positive effect, implying an overall significantly negative impact. Further, the outcome of financial development and CO(2) emissions have an inverted U-shaped and U-shaped relationship in direct and indirect impacts. Population density, trade openness, and economic growth significantly influence environmental pollution. In addition, education expenditure and infrastructure play a significant moderating role among tourism and environmental pollution. The results have important policy implications as they establish an inverted-U-shaped relationship among tourism and CO(2) emissions and indicate that while a country’s emissions initially rise with the tourism industry’s growth, it begins declining after a limit. Springer Berlin Heidelberg 2021-12-02 2022 /pmc/articles/PMC8638795/ /pubmed/34859343 http://dx.doi.org/10.1007/s11356-021-17026-z Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Research Article Jiaqi, Yan Yang, Song Ziqi, Yu Tingting, Li Teo, Brian Sheng Xian The spillover of tourism development on CO(2) emissions: a spatial econometric analysis |
title | The spillover of tourism development on CO(2) emissions: a spatial econometric analysis |
title_full | The spillover of tourism development on CO(2) emissions: a spatial econometric analysis |
title_fullStr | The spillover of tourism development on CO(2) emissions: a spatial econometric analysis |
title_full_unstemmed | The spillover of tourism development on CO(2) emissions: a spatial econometric analysis |
title_short | The spillover of tourism development on CO(2) emissions: a spatial econometric analysis |
title_sort | spillover of tourism development on co(2) emissions: a spatial econometric analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8638795/ https://www.ncbi.nlm.nih.gov/pubmed/34859343 http://dx.doi.org/10.1007/s11356-021-17026-z |
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