Air pollution as a cause of sleeplessness: Social media evidence from a panel of Chinese cities |
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| Institution: | 1. Department of Economics, University of Ottawa, Canada;2. Department of Economics, University of Sussex, UK;3. School of Economics, Nanjing University, China;1. The World Bank, United States;2. Georgetown University, United States;1. Department of Economics, National University of Singapore, 1 Arts Link, 117570, Singapore;2. Guangzhou Center for Disease Control and Prevention, No.1, Qide Road, Jiahe, Baiyu, Guangzhou, 510440, China;3. International School of Business and Finance, Sun Yat-sen University, No.135, Xingang Xi Road, Guangzhou, 510275, China;1. School of Statistics, Beijing Normal University, China;2. National School of Development, Peking University, China; International Food Policy Research Institute, United States;1. Division of Social Science, Division of Environment, and Department of Economics, The Hong Kong University of Science and Technology, Hong Kong;2. Department of Economics, Ball State University, USA;3. National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, China;1. Environmental Research Center, Duke Kunshan University, Nicholas School of the Environment, Duke University, No.8 Duke Avenue, Kunshan, Jiangsu 215316, China;2. The Nature Conservancy, China |
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| Abstract: | We provide first evidence of a link from daily air pollution exposure to sleep loss in a panel of Chinese cities. We develop a social media-based, city-level metric for sleeplessness, and bolster causal claims by instrumenting for pollution with plausibly exogenous variations in wind patterns. Estimates of effect sizes are substantial and robust. In our preferred specification a one standard deviation increase in AQI causes an 11.6% increase in sleeplessness, and for PM2.5 is 12.8%. The results sustain qualitatively under OLS estimation but are attenuated. The analysis provides a previously unaccounted for benefit of more stringent air quality regulation. It also offers a candidate mechanism in support of recent research that links daily air quality to diminished workplace productivity, cognitive performance, school absence, traffic accidents, and other detrimental outcomes. |
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| Keywords: | Air pollution Social costs IV methods Q53 Q53 I1 |
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