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Air pollution lowers Chinese urbanites' expressed happiness on social media
Zheng, Siqi1,2; Wang, Jianghao3; Sun, Cong4; Zhang, Xiaonan5,6; Kahn, Matthew E.7
2019-03-01
Source PublicationNATURE HUMAN BEHAVIOUR
ISSN2397-3374
Volume3Issue:3Pages:237-243
Corresponding AuthorZheng, Siqi(sqzheng@mit.edu) ; Sun, Cong(sun.cong@mail.shufe.edu.cn)
AbstractHigh levels of air pollution in China may contribute to the urban population's reported low level of happiness(1-3). To test this claim, we have constructed a daily city-level expressed happiness metric based on the sentiment in the contents of 210 million geotagged tweets on the Chinese largest microblog platform Sina Weibo(4-6), and studied its dynamics relative to daily local air quality index and PM2.5 concentrations (fine particulate matter with diameters equal or smaller than 2.5 mu m, the most prominent air pollutant in Chinese cities). Using daily data for 144 Chinese cities in 2014, we document that, on average, a one standard deviation increase in the PM2.5 concentration (or Air Quality Index) is associated with a 0.043 (or 0.046) standard deviation decrease in the happiness index. People suffer more on weekends, holidays and days with extreme weather conditions. The expressed happiness of women and the residents of both the cleanest and dirtiest cities are more sensitive to air pollution. Social media data provides real-time feedback for China's government about rising quality of life concerns.
DOI10.1038/s41562-018-0521-2
WOS KeywordPARTICULATE MATTER PM2.5 ; LIFE SATISFACTION ; HEALTH ; MORTALITY ; EXPOSURE ; ENVIRONMENT ; EXPECTANCY ; VALUATION ; IMPACT ; ASSOCIATION
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Program of China[2017YFB0503500] ; Strategic Priority Research Program of the CAS[XDA19040503] ; National Natural Science Foundation of China[71603158] ; National Natural Science Foundation of China[71625004] ; MIT China Future City Lab ; Ministry of Education in China Project of Humanities and Social Sciences[16YJC790090] ; Shanghai Municipal Education Commission ; Shanghai Education Development Foundation[16CG43]
Funding OrganizationNational Key Research and Development Program of China ; Strategic Priority Research Program of the CAS ; National Natural Science Foundation of China ; MIT China Future City Lab ; Ministry of Education in China Project of Humanities and Social Sciences ; Shanghai Municipal Education Commission ; Shanghai Education Development Foundation
WOS Research AreaPsychology ; Science & Technology - Other Topics ; Neurosciences & Neurology
WOS SubjectPsychology, Biological ; Multidisciplinary Sciences ; Neurosciences ; Psychology, Experimental
WOS IDWOS:000460952000015
PublisherNATURE PUBLISHING GROUP
Citation statistics
Cited Times:88[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/49152
Collection中国科学院地理科学与资源研究所
Corresponding AuthorZheng, Siqi; Sun, Cong
Affiliation1.MIT, Dept Urban Studies & Planning, China Future City Lab, Cambridge, MA 02139 USA
2.MIT, Ctr Real Estate, 77 Massachusetts Ave, Cambridge, MA 02139 USA
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
4.Shanghai Univ Finance & Econ, Sch Urban & Reg Sci, Shanghai, Peoples R China
5.Tsinghua Univ, Hang Lung Ctr Real Estate, Beijing, Peoples R China
6.Tsinghua Univ, Dept Construct Management, Beijing, Peoples R China
7.Univ Southern Calif, Dept Econ, Los Angeles, CA 90089 USA
Recommended Citation
GB/T 7714
Zheng, Siqi,Wang, Jianghao,Sun, Cong,et al. Air pollution lowers Chinese urbanites' expressed happiness on social media[J]. NATURE HUMAN BEHAVIOUR,2019,3(3):237-243.
APA Zheng, Siqi,Wang, Jianghao,Sun, Cong,Zhang, Xiaonan,&Kahn, Matthew E..(2019).Air pollution lowers Chinese urbanites' expressed happiness on social media.NATURE HUMAN BEHAVIOUR,3(3),237-243.
MLA Zheng, Siqi,et al."Air pollution lowers Chinese urbanites' expressed happiness on social media".NATURE HUMAN BEHAVIOUR 3.3(2019):237-243.
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