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Mental fatigue, cognitive bias and safety paradox in chinese coal mines

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  • Yu, Haimiao
  • Chen, Hong
  • Long, Ruyin

Abstract

Many researchers have confirmed that most accidents occur during night shifts, but coal mine production in China is an exception. The frequency of accidents during day shifts is significantly higher than that of night shifts. We refer to this as a safety paradox. This study collected 1870 instances of the worst fatal accidents in Chinese coal mines from 2002 to 2013, which in total accounted for the deaths of 13,477 miners. We mainly employed frequency analysis to describe the imbalance in accident risks between day shifts and night shifts. Then we deployed a reaction time test and “psychometric fatigue assessment scale” to measure the differences in mental fatigue between day-shift and night-shift workers. In further, we analyzed the supervision records of the coal mines and found that the level of supervision was more intensive during night shifts. Based on these analyses, we put forward "the pendulum effect of mental fatigue" as an explanation for the safety paradox experienced in Chinese coal mines. Lastly, we suggest possible solutions that coal mine managers and the government policy-makers could undertake.

Suggested Citation

  • Yu, Haimiao & Chen, Hong & Long, Ruyin, 2017. "Mental fatigue, cognitive bias and safety paradox in chinese coal mines," Resources Policy, Elsevier, vol. 52(C), pages 165-172.
    • Handle: RePEc:eee:jrpoli:v:52:y:2017:i:c:p:165-172
    DOI: 10.1016/j.resourpol.2017.02.005
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    References listed on IDEAS

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    1. Song, Zongyun & Niu, Dongxiao & Xiao, Xinli, 2017. "Focus on the current competitiveness of coal industry in China: Has the depression time gone?," Resources Policy, Elsevier, vol. 51(C), pages 172-182.
    2. Nie, Huihua & Jiang, Minjie & Wang, Xianghong, 2013. "The impact of political cycle: Evidence from coalmine accidents in China," Journal of Comparative Economics, Elsevier, vol. 41(4), pages 995-1011.
    3. Dzonzi-Undi, Junice & Li, Shixiang, 2016. "Safety and environmental inputs investment effect analysis: Empirical study of selected coal mining firms in China," Resources Policy, Elsevier, vol. 47(C), pages 178-186.
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    Cited by:

    1. Jin Tian & Yundou Wang & Shutian Gao, 2022. "Analysis of Mining-Related Injuries in Chinese Coal Mines and Related Risk Factors: A Statistical Research Study Based on a Meta-Analysis," IJERPH, MDPI, vol. 19(23), pages 1-16, December.
    2. Tong, Ruipeng & Yang, Xiaoyi & Li, Hongwei & Li, Jianfei, 2019. "Dual process management of coal miners’ unsafe behaviour in the Chinese context: Evidence from a meta-analysis and inspired by the JD-R model," Resources Policy, Elsevier, vol. 62(C), pages 205-217.
    3. Wei Zhang & Dongxiao Gu & Yuguang Xie & Aida Khakimova & Oleg Zolotarev, 2023. "How Do COVID-19 Risk, Life-Safety Risk, Job Insecurity, and Work–Family Conflict Affect Miner Performance? Health-Anxiety and Job-Anxiety Perspectives," IJERPH, MDPI, vol. 20(6), pages 1-21, March.
    4. Fangyuan Tian & Hongxia Li & Shuicheng Tian & Jiang Shao & Chenning Tian, 2022. "Effect of Shift Work on Cognitive Function in Chinese Coal Mine Workers: A Resting-State fNIRS Study," IJERPH, MDPI, vol. 19(7), pages 1-21, April.

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