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A psychophysical measurement on subjective well-being and air pollution

Author

Listed:
  • Yuan Li

    (Shandong University
    Jinan University)

  • Dabo Guan

    (Tsinghua University)

  • Yanni Yu

    (Shandong University
    Jinan University)

  • Stephen Westland

    (University of Leeds)

  • Daoping Wang

    (Shanghai University of Finance and Economics)

  • Jing Meng

    (University College London)

  • Xuejun Wang

    (Peking University)

  • Kebin He

    (Tsinghua University)

  • Shu Tao

    (Peking University)

Abstract

Although the physical effects of air pollution on humans are well documented, there may be even greater impacts on the emotional state and health. Surveys have traditionally been used to explore the impact of air pollution on people’s subjective well-being (SWB). However, the survey techniques usually take long periods to properly match the air pollution characteristics from monitoring stations to each respondent’s SWB at both disaggregated spatial and temporal levels. Here, we used air pollution data to simulate fixed-scene images and psychophysical process to examine the impact from only air pollution on SWB. Findings suggest that under the atmospheric conditions in Beijing, negative emotions occur when PM2.5 (particulate matter with a diameter less than 2.5 µm) increases to approximately 150 AQI (air quality index). The British observers have a stronger negative response under severe air pollution compared with Chinese observers. People from different social groups appear to have different sensitivities to SWB when air quality index exceeds approximately 200 AQI.

Suggested Citation

  • Yuan Li & Dabo Guan & Yanni Yu & Stephen Westland & Daoping Wang & Jing Meng & Xuejun Wang & Kebin He & Shu Tao, 2019. "A psychophysical measurement on subjective well-being and air pollution," Nature Communications, Nature, vol. 10(1), pages 1-8, December.
  • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-13459-w
    DOI: 10.1038/s41467-019-13459-w
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    Cited by:

    1. Gaël Brulé, 2022. "Evaluation of Existing Indexes of Sustainable Well-Being and Propositions for Improvement," Sustainability, MDPI, vol. 14(2), pages 1-18, January.
    2. Long, Houyin & Wu, Guilin & Wang, Jiaxin & Zhang, Pengdong, 2023. "How U.S. job policy affects China's scientific and technological manufacturing firms? A perspective based on the competitive environment," Energy Economics, Elsevier, vol. 126(C).
    3. Hao, Ying & Huang, Lixin & Huang, Yuxiu & Wei, Zi, 2023. "Air quality and CEO cross–regional turnover ——The role of compensation or incentive," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
    4. Ming, Yaxin & Deng, Huixin & Wu, Xiaoyue, 2022. "The negative effect of air pollution on people's pro-environmental behavior," Journal of Business Research, Elsevier, vol. 142(C), pages 72-87.
    5. Liu, Yating & Fang, Delin & Chen, Bin, 2021. "Interregional spillover effect of PM2.5 emissions on Northeast China through the national supply chain," Applied Energy, Elsevier, vol. 303(C).
    6. Tomoaki Nakaishi & Sunbin Yoo & Shigemi Kagawa & Shunsuke Managi, 2024. "Impact of air pollution on human morality: A multinational perspective," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
    7. Lohmann, Paul M. & Gsottbauer, Elisabeth & You, Jing & Kontoleon, Andreas, 2023. "Air pollution and anti-social behaviour: Evidence from a randomised lab-in-the-field experiment," Social Science & Medicine, Elsevier, vol. 320(C).

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