School of Emergency Management and Safety Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China.
Int J Environ Res Public Health. 2021 Oct 14;18(20):10781. doi: 10.3390/ijerph182010781.
One of the important factors affecting the production safety of a country or region is the level of economic development. Avoiding accidents under the condition of ensuring economic development is a problem that needs in-depth research. On the basis of collecting the data of occupational accidents and economic development indicators in China from 2000 to 2020, this paper studies the relationship between occupational accidents and five economic indicators, such as resident consumption, energy consumption, education funds, wage level and research input. The grey working accident model of Gaussian function is established, the occurrence trend of occupational accidents is quantitatively analyzed, and the accident reduction measures are suggested based on the relationship between accidents and economy. The results show that there is a strong correlation between accident and economic indicators, and the comprehensive correlation coefficient among scientific research investment, education funds and accident indicators is significantly higher than that of other economic indicators. Increasing investment in scientific research and education is conducive to improving the quality of workers and training safety professionals and can effectively reduce workplace accidents.
影响一个国家或地区生产安全的重要因素之一是经济发展水平。在保证经济发展的条件下避免事故是一个需要深入研究的问题。本文在收集 2000 年至 2020 年中国职业事故和经济发展指标数据的基础上,研究了职业事故与居民消费、能源消耗、教育经费、工资水平和研究投入等五个经济指标之间的关系。建立了高斯函数的灰色工作事故模型,对职业事故的发生趋势进行了定量分析,并根据事故与经济的关系提出了减少事故的措施。结果表明,事故与经济指标之间存在很强的相关性,科研投入、教育经费与事故指标之间的综合相关系数明显高于其他经济指标。增加科研和教育投入有利于提高工人素质和培养安全专业人员,可以有效减少工作场所事故。