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Relative Risk of High-Danger Industries in China from 2004 to 2016

Bibliographic Data

ID15500179
AuthorsLu Zhang (0000-0002-8855-8492, China University of Geosciences (Beijing)), Yun Luo (0000-0002-6243-7000, China University of Geosciences (Beijing)), Ming Xu (0000-0003-2151-2980, China University of Geosciences (Beijing), corresponding author), Guantao Wang (0000-0003-4431-6800, China University of Geosciences (Beijing)), Wei Liang (0000-0001-7179-9161, Electric Power Research Institute, State Grid Jiangsu Electric Power Co., Ltd, Nanjing 211103, China), Yang Xiang (0000-0003-3016-0323, Daqing Oilfield of CNPC)
Year2020
Volume17
Issue9
Pages3017-3017
Publication date2020-04-27
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph17093017
PMID32349244
OpenAlexW3020466182
LanguageEN
Citations received1
References cited13

Accidents in high-danger industries in China occur frequently and cause loss of life, injuries, and economic loss. One of the most important reasons causing severe safety situations is the lack of knowledge on macro industry risk in the practice and academic field in China. In order to solve this problem, the method to calculate group risk and individual risk, concerning risk aversion, is discussed, selected, and improved. The group risks and individual risks of five high-danger industries from 2004 to 2016 are calculated. Relative risk indices between five high-danger industries during the 11 th and 12 th Five-Year Guideline for National Economic and Social Development (FYP) are determined. The results show that there are some differences between group risk and individual risk of high-danger industries. The reasons for differences and the connections with published interventions are discussed. Through discussion, two different ways to reduce group risk and individual risk are identified, which could help supervisors inspect the actual effectiveness of safety policies, measures, and interventions and choose a better way to reduce risk and ensure work safety in industries

Actuarial science · Business · China · Computer security · Economic risk · Environmental health · Guideline · Operations management · Order (exchange · Political science · Psychiatry · Psychological intervention · Risk analysis (engineering · Risk assessment · Work (physics · Computer Science · Engineering · Medicine · Occupational Health and Safety Research · Psychology · Risk and Safety Analysis · Safety and Risk Management · Finance

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  • Future risk of flooding

    Open Access•Bob Maaskant, Sebastiaan N Jonkman et al.•Environmental Science & Policy•2009

Unique citing works1
Citations per year0.2
Citation span2021 - 2021 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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