TOURISM MANAGEMENT

Clouds and crowds: A meta-analysis of air pollution and tourism demand-experience dynamics

Huo, Tingting; Yang, Yang; Zhang, Linjia

Abstract

Empirical evidence on how air quality shapes tourist responses remains inconsistent. Drawing on a meta-analytical framework and cognitive-relational theory, this study synthesizes the effects of air pollution on demand- and experience-related outcomes across the travel process. The analysis pools 974 estimates from 58 demand studies and 92 estimates from 8 experience studies on destination-side pollution, as well as 483 estimates from 17 demand studies on origin-side pollution. After correcting for publication bias, air pollution has a mild, partly remediable adverse effect on tourism demand, while evidence for tourist experience is less consistent. The demand effect remains robust across destination-only and origin-destination settings, whereas origin-side air pollution has a negligible, statistically insignificant positive effect. Meta-regression results indicate that between-study heterogeneity is mainly driven by international tourism contexts, online word-of-mouth measures, PM2.5 or air quality index measures, and long-run effects. This meta-analysis provides actionable implications for scenario-based planning, forecasting and econometric practice.

Keywords

Air pollution; Tourism demand; Tourist experience; Meta-regression; Publication bias

Research topic

Tourist Experience, Sustainability and Resilience

Research method

Econometrics, Meta-analysis

Geographic area

Global

Additional links for this paper

ResearchGate

Publisher Website

Web of Science

HOW TO CITE

Huo, T., Yang, Y., & Zhang, L. (2027). Clouds and crowds: A meta-analysis of air pollution and tourism demand-experience dynamics. Tourism Management, 118, 105504.

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