Study on the configuration causal factors of electric power generation safety incidents based on grounded theory and fsQCA.

التفاصيل البيبلوغرافية
العنوان:	Study on the configuration causal factors of electric power generation safety incidents based on grounded theory and fsQCA.
المؤلفون:	Zhu L; School of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu, 610500, China. linzhuedu@yeah.net., Xiong K; School of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu, 610500, China., Pang M; School of Economics and Management, Southwest Petroleum University, Chengdu, 610500, Sichuan, China.
المصدر:	Environmental science and pollution research international [Environ Sci Pollut Res Int] 2024 Aug; Vol. 31 (39), pp. 52562-52581. Date of Electronic Publication: 2024 Aug 17.
نوع المنشور:	Journal Article
اللغة:	English
بيانات الدورية:	Publisher: Springer Country of Publication: Germany NLM ID: 9441769 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1614-7499 (Electronic) Linking ISSN: 09441344 NLM ISO Abbreviation: Environ Sci Pollut Res Int Subsets: MEDLINE
أسماء مطبوعة:	Publication: <2013->: Berlin : Springer Original Publication: Landsberg, Germany : Ecomed
مواضيع طبية MeSH:	Grounded Theory* , Electricity*, Humans ; Electric Power Supplies ; Safety Management ; Power Plants
مستخلص:	Electric power generation safety incidents can lead to severe consequences, including casualties and widespread power outages. Previous research has mainly focused on the mechanisms and causal relationships of accidents. However, these incidents result from multiple factors working together, lacking systematic analysis. This study examines 161 electric power generation safety incidents from 2015 to 2022, utilizing Grounded Theory for coding to construct a causal model. The derived model is used as a conditional variable for fuzzy set qualitative comparative analysis (fsQCA), with accident severity as the outcome variable. Forty-five cases are selected for assigning values, and R language and fsQCA software are integrated for univariate necessary condition analysis, followed by configurational analysis. Results show the Grounded Theory-derived causal model includes six factors: human unsafe behavior, equipment factors, enterprise safety management, on-site safety management, safety qualifications of personnel, and environmental factors. Necessary condition analysis indicates incidents result from multiple conditions. Configurational analysis identifies seven paths condensed into three types: management deficiency, low safety qualifications, and unsafe behavior. Recommendations are proposed for each type, discussing intrinsic connections between variables based on conditional variables in configurational paths. The aim is to reduce electric power generation safety incidents, ensure personnel safety, and guarantee continuous electricity supply. (© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
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معلومات مُعتمدة:	22&ZD105 National Social Science Fund of China; 2021RW041 Southwest Petroleum University; 202111103 Southwest Petroleum University; CCLI2023R002 China Construction Labour Intitute; CYCX2023ZC06 Sichuan University
فهرسة مساهمة:	Keywords: Causal factors of accidents; Configurational analysis; Electric power production safety incidents; FsQCA; Grounded Theory
تواريخ الأحداث:	Date Created: 20240817 Date Completed: 20240905 Latest Revision: 20240919
رمز التحديث:	20240919
DOI:	10.1007/s11356-024-34702-y
PMID:	39153067
قاعدة البيانات:	MEDLINE

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تدمد:	1614-7499
DOI:	10.1007/s11356-024-34702-y