Tian Xu, Min Shi, Shen Jiexi, Hong Qianqian, Headey Derek, Zhao Fangxiao, Wang Xiaobing
Academy of Global Food Economics and Policy, College of Economics and Management, China Agricultural University, Beijing 100083, China.
College of Economics and Management, Huazhong Agricultural University, Shizishan Street 1, Hongshan District, Wuhan 430070, Hubei, China.
PNAS Nexus. 2025 Apr 24;4(5):pgaf124. doi: 10.1093/pnasnexus/pgaf124. eCollection 2025 May.
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.
本研究考察了空气污染对中国20个省份52个城市外出就餐(FAFH)消费的影响,重点关注在线食品配送(在线FAFH)和餐厅就餐(线下FAFH)的支出。利用与每小时空气质量数据相关联的独特的城市层面每日汇总消费数据,我们采用半参数模型和参数模型来揭示PM2.5水平与在线FAFH之间的正相关关系,与之形成对比的是,PM2.5水平与线下FAFH之间存在显著的负相关关系。我们的分析表明,污染日消费者对食品服务需求的变化,以及城市出行模式的改变,导致了这些结果。我们还根据餐食类型检测到了时间变化,加深了我们对空气污染如何影响食品消费行为的理解。研究结果表明,PM2.5水平升高会导致餐厅收入净损失、温室气体排放减少以及塑料垃圾增加。这些发现有助于更深入地理解空气污染对FAFH的多方面影响以及相应的经济和环境影响。