2022
DOI: 10.1007/s13762-022-04450-y
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How does urban air pollution affect China’s inbound tourism?

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Cited by 4 publications
(1 citation statement)
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“…For example, studies focusing on urban areas (e.g., Chen et al, 2017;McKercher et al, 2015;Falk, 2015;Machete et al, 2014;Falk, 2011) suggest that weather characteristics are of less importance for tourists, although more pronounced weather events like hot days (Kim et al, 2017) or heavy or prolonged rain (Dubois et al, 2016) may affect the tourist satisfaction. Also, for urban areas, poor air quality may decrease tourism demand (Ma et al, 2022;Robaina et al, 2020). On the contrary, for rural destinations, weather is a more important determinant of tourist's behavior and air temperature and sunshine duration are of importance for tourists in these destinations (Falk, 2015); also, during warm season, increasing of high (extreme) temperature may have a negative impact on tourist inflow, especially for domestic tourism as shown by (Cai et al, 2011) for the case of Tuscany.…”
Section: Tourists' Preferences For Cenv Information In Different Dest...mentioning
confidence: 99%
“…For example, studies focusing on urban areas (e.g., Chen et al, 2017;McKercher et al, 2015;Falk, 2015;Machete et al, 2014;Falk, 2011) suggest that weather characteristics are of less importance for tourists, although more pronounced weather events like hot days (Kim et al, 2017) or heavy or prolonged rain (Dubois et al, 2016) may affect the tourist satisfaction. Also, for urban areas, poor air quality may decrease tourism demand (Ma et al, 2022;Robaina et al, 2020). On the contrary, for rural destinations, weather is a more important determinant of tourist's behavior and air temperature and sunshine duration are of importance for tourists in these destinations (Falk, 2015); also, during warm season, increasing of high (extreme) temperature may have a negative impact on tourist inflow, especially for domestic tourism as shown by (Cai et al, 2011) for the case of Tuscany.…”
Section: Tourists' Preferences For Cenv Information In Different Dest...mentioning
confidence: 99%