Abstract
There are some problems in China's coal mining, such as limited mining technology, low degree of mechanization, lack of effective safety facilities, imperfect accident early warning mechanism and untimely response, which make the production safety problems perplex coal enterprises for a long time. This paper uses AMOS and SPSS 19.0 to analyze the coal risk data. The first is to establish the research hypotheses and conceptual model, set up structural equation model and path map. Secondly, the structural equation model and path coefficient are obtained by AMOS software, and the model is identified, evaluated and modified. Finally, the paper analyzes the direct effect and indirect effect between latent variables, latent variables and observed variables, and clarifies the risk factors of coal mining enterprises and the path of risk formation.
Reference9 articles.
1. Hao S L, Ding Z X. Design of Internal Control Risk Management System of Coal Mining Enterprises Based on Systems Engineering[J]. Advanced Materials Research, (2012).
2. Xiao J, Zhang J, Liu C. The Research on Financial Risk Management of Large State-Owned Coal Enterprises[J]. Industrial Safety & Environmental Protection, (2010).
3. Timofeeva S S, Murzin M A. Man-made risks of coal mining enterprises[J]. IOP Conference Series: Earth and Environmental Science, (2019).
4. Tomasz Leszek, Nawrocki, et al. Assessing operational risk in coal mining enterprises – Internal, industrial and international perspectives[J]. Resources Policy, (2016)
5. Wu Y, Liu L, Zhou J, et al. Research on optimization of hedging ratio of thermal coal futures in thermal power enterprises based on Delphi method[J]. Energy Systems, (2019).