Air pollutions affect restaurant and foodservice industry in China

This study examines the impact of air pollution on food away from home (FAFH) consumption in 52 cities across 20 provinces of China, focusing on expenditures for online food delivery (online FAFH) and dine-in restaurants (offline FAFH). Using unique daily aggregated city-level consumption data linked with hourly air quality data, we employ both semiparametric and parametric models to uncover a positive relationship between PM2.5 levels and online FAFH, contrasted by a significantly negative relationship with offline FAFH. Our analysis reveals that shifts in consumer demand for food services on polluted days, coupled with changes in urban mobility patterns, contribute to these outcomes. We also detect temporal variations based on meal type, enhancing our understanding of how air pollution influences food consumption behavior. The findings indicate that increased PM2.5 levels lead to a net loss in restaurant revenue, a reduction in greenhouse gas emissions, and an increase in plastic waste. These findings contribute to a deeper understanding of the multifaceted impacts of air pollution on FAFH and corresponding economy and environmental implications.

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Publication Details

Journal
PNAS Nexus
Published
2025-04-24
DOI
https://doi.org/10.1093/pnasnexus/pgaf124
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
0.00

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article

Air pollutions affect restaurant and foodservice industry in China

Qing-Biao Hong, Fangxiao Zhao, Shi Min, Derek Headey et al.
PNAS Nexus
Air Quality and Health Impacts
article

Air pollutions affect restaurant and foodservice industry in China

Qing-Biao Hong, Fangxiao Zhao, Shi Min, Derek Headey, Xu Tian, Jiexi Shen, Xiaobing Wang
article en

Abstract

This study examines the impact of air pollution on food away from home (FAFH) consumption in 52 cities across 20 provinces of China, focusing on expenditures for online food delivery (online FAFH) and dine-in restaurants (offline FAFH). Using unique daily aggregated city-level consumption data linked with hourly air quality data, we employ both semiparametric and parametric models to uncover a positive relationship between PM2.5 levels and online FAFH, contrasted by a significantly negative relationship with offline FAFH. Our analysis reveals that shifts in consumer demand for food services on polluted days, coupled with changes in urban mobility patterns, contribute to these outcomes. We also detect temporal variations based on meal type, enhancing our understanding of how air pollution influences food consumption behavior. The findings indicate that increased PM2.5 levels lead to a net loss in restaurant revenue, a reduction in greenhouse gas emissions, and an increase in plastic waste. These findings contribute to a deeper understanding of the multifaceted impacts of air pollution on FAFH and corresponding economy and environmental implications.

PNAS NexusVol. 4(5)
International Food Policy Research Institute (US), Peking University (CN), Huazhong Agricultural University (CN), Jinling Institute of Technology (CN), China Agricultural University (CN)
National Natural Science Foundation of China, China Agricultural University, Zhejiang University, National Social Science Fund of China
Openalex Percentile: Top 90%
Air Quality and Health Impacts
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Air pollutions affect restaurant and foodservice industry in China — Qing-Biao Hong, Fangxiao Zhao, et al. · PNAS Nexus (2025) | TGRS Research Map | TGRS