2017
DOI: 10.2139/ssrn.1538658
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Does Severe Air Pollution Affect Audit Judgment?: Evidence From China

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Cited by 2 publications
(6 citation statements)
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“…Second, we complement the research of Chen, Peng, et al (2017) by revealing why air quality has a negative impact on audit judgement. Chen, Peng, et al (2017) referred to the productivity reduction and cognitive bias channel, but they didn't answer why productive reduction and cognitive bias induce auditors to be more aggressive. We discuss this question from psychology and cognition studies, which enhance the understanding of the impact of air quality on auditor's behaviour.…”
Section: Introductionmentioning
confidence: 94%
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“…Second, we complement the research of Chen, Peng, et al (2017) by revealing why air quality has a negative impact on audit judgement. Chen, Peng, et al (2017) referred to the productivity reduction and cognitive bias channel, but they didn't answer why productive reduction and cognitive bias induce auditors to be more aggressive. We discuss this question from psychology and cognition studies, which enhance the understanding of the impact of air quality on auditor's behaviour.…”
Section: Introductionmentioning
confidence: 94%
“…Then, one question arises naturally: why air pollution affects auditor's professional judgements? Is it because of the impact on individual's physical health that reduces the productivity (Chen, Peng, et al, 2017)? Or is it because of the induced negative mood that reduces the productivity?…”
Section: Air Quality and Perception Of Air Qualitymentioning
confidence: 99%
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“…The influences of COVID-19 on many aspects of the economy, air pollution, and income have been explored by a number of studies (e.g., Kabir et al 2020 ; Firano and Fatine 2020 ; Malahayati et al 2021 ; Zhang et al 2022 ; Wang and Su 2020 ; Elsaid et al 2021 ; Nundy et al 2021 ; Chen et al 2021 ; Su et al 2022 ; Sun et al 2022 ; Koyama et al 2022 ; Oyenubi et al 2022 ). On the economic front, the outbreak of COVID-19 has caused great damage to world economic giants and national macroeconomics (Kabir et al 2020 ; Firano and Fatine 2020 ).…”
Section: Introductionmentioning
confidence: 99%