How far can air pollution affect tourism in China? Evidence from panel unconditional quantile regressions

Previous studies provide empirical evidence for the connection between air pollution and tourism. However, many of them take the nexus as a linear one. It remains unexplored whether any thresholds are required for the nexus to materialize. This study systematically investigates whether PM2.5 concent...

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Main Authors: Xiao, Yuxuan, Qiang, Will W., Chan, Chung-Shing, Yim, Steve Hung Lam, Lee, Harry F.
Other Authors: Asian School of the Environment
Format: Article
Language:English
Published: 2024
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Online Access:https://hdl.handle.net/10356/179645
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1796452024-08-19T15:30:51Z How far can air pollution affect tourism in China? Evidence from panel unconditional quantile regressions Xiao, Yuxuan Qiang, Will W. Chan, Chung-Shing Yim, Steve Hung Lam Lee, Harry F. Asian School of the Environment Earth and Environmental Sciences Air pollution Tourism Previous studies provide empirical evidence for the connection between air pollution and tourism. However, many of them take the nexus as a linear one. It remains unexplored whether any thresholds are required for the nexus to materialize. This study systematically investigates whether PM2.5 concentrations-an essential indicator of air pollution-affect tourism in China at various tourism development levels. We analyze 284 Chinese cities from 2008 to 2018 using the Unconditional Quantile Regression method. Our statistical results reveal that air pollution positively influences tourism (regarding tourist visits and tourism revenue) in areas with low tourism development levels. However, a complex correlation between air pollution and tourism emerges when tourism development has reached a certain level. The correlation is initially negative, then positive, and finally disappears. But, the overall correlation remains negative. The effects of the interaction between air pollution and tourism resources on tourism are inverted U-shaped, implying that tourism resources can mitigate the negative effects of air pollution on tourism only when tourism development has reached a certain level. Based on the above findings, the associated policy implications are discussed. Published version Koon Wah Mirror Group, grant no. 6904069, Harry F. LEE Direct Grant for Research of The Chinese University of Hong Kong, grant no. 4052300, Harry F. LEE Vice-Chancellor’s Discretionary Fund of The Chinese University of Hong Kong, grant no. 4930744, Steve H.L. YIM. 2024-08-14T02:27:38Z 2024-08-14T02:27:38Z 2024 Journal Article Xiao, Y., Qiang, W. W., Chan, C., Yim, S. H. L. & Lee, H. F. (2024). How far can air pollution affect tourism in China? Evidence from panel unconditional quantile regressions. PloS ONE, 19(6), e0304315-. https://dx.doi.org/10.1371/journal.pone.0304315 1932-6203 https://hdl.handle.net/10356/179645 10.1371/journal.pone.0304315 38848349 2-s2.0-85195534199 6 19 e0304315 en PloS ONE © 2024 Xiao et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Earth and Environmental Sciences
Air pollution
Tourism
spellingShingle Earth and Environmental Sciences
Air pollution
Tourism
Xiao, Yuxuan
Qiang, Will W.
Chan, Chung-Shing
Yim, Steve Hung Lam
Lee, Harry F.
How far can air pollution affect tourism in China? Evidence from panel unconditional quantile regressions
description Previous studies provide empirical evidence for the connection between air pollution and tourism. However, many of them take the nexus as a linear one. It remains unexplored whether any thresholds are required for the nexus to materialize. This study systematically investigates whether PM2.5 concentrations-an essential indicator of air pollution-affect tourism in China at various tourism development levels. We analyze 284 Chinese cities from 2008 to 2018 using the Unconditional Quantile Regression method. Our statistical results reveal that air pollution positively influences tourism (regarding tourist visits and tourism revenue) in areas with low tourism development levels. However, a complex correlation between air pollution and tourism emerges when tourism development has reached a certain level. The correlation is initially negative, then positive, and finally disappears. But, the overall correlation remains negative. The effects of the interaction between air pollution and tourism resources on tourism are inverted U-shaped, implying that tourism resources can mitigate the negative effects of air pollution on tourism only when tourism development has reached a certain level. Based on the above findings, the associated policy implications are discussed.
author2 Asian School of the Environment
author_facet Asian School of the Environment
Xiao, Yuxuan
Qiang, Will W.
Chan, Chung-Shing
Yim, Steve Hung Lam
Lee, Harry F.
format Article
author Xiao, Yuxuan
Qiang, Will W.
Chan, Chung-Shing
Yim, Steve Hung Lam
Lee, Harry F.
author_sort Xiao, Yuxuan
title How far can air pollution affect tourism in China? Evidence from panel unconditional quantile regressions
title_short How far can air pollution affect tourism in China? Evidence from panel unconditional quantile regressions
title_full How far can air pollution affect tourism in China? Evidence from panel unconditional quantile regressions
title_fullStr How far can air pollution affect tourism in China? Evidence from panel unconditional quantile regressions
title_full_unstemmed How far can air pollution affect tourism in China? Evidence from panel unconditional quantile regressions
title_sort how far can air pollution affect tourism in china? evidence from panel unconditional quantile regressions
publishDate 2024
url https://hdl.handle.net/10356/179645
_version_ 1814047109622530048