波兰矿业的事故率。现状与展望

IF 2.2 4区 地球科学 Q2 GEOSCIENCES, MULTIDISCIPLINARY Acta Montanistica Slovaca Pub Date : 2022-12-08 DOI:10.46544/ams.v27i3.05
{"title":"波兰矿业的事故率。现状与展望","authors":"","doi":"10.46544/ams.v27i3.05","DOIUrl":null,"url":null,"abstract":"The article presents the analysis of accidents at work in the Polish mining industry in the period from 2010 to 2020 with forecasts for the next three years. The study consists of two parts. The first part deals with methods of analysing working conditions in the mining industry. A key element of the literature review is the econometric methods that have been used by researchers to analyse accidents at work in mining. In the empirical part (the second part of the paper), the authors present the results of their own econometric analysis. The authors use econometric models in predicting the indicator (W*) – total number of people injured in accidents per thousand employees. Testing classical econometric models, the authors obtained the best forecasts (based on the obtained forecast errors) in the Winters' model and the Brown's model. The accident at work in mining is an important topic for research because the branch of industry belongs to the branch with hard work. Health and safety in mines has a great importance for the sake of specific conditions in that kind of industry. Continuous analysis of accidents at work is necessary in evaluation of system effectiveness of health and safety system in all mines. Forecasting of accident at work can help miners to build safety in mines","PeriodicalId":50889,"journal":{"name":"Acta Montanistica Slovaca","volume":" ","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2022-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Accident rate in Polish mining. Current status and forecast\",\"authors\":\"\",\"doi\":\"10.46544/ams.v27i3.05\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article presents the analysis of accidents at work in the Polish mining industry in the period from 2010 to 2020 with forecasts for the next three years. The study consists of two parts. The first part deals with methods of analysing working conditions in the mining industry. A key element of the literature review is the econometric methods that have been used by researchers to analyse accidents at work in mining. In the empirical part (the second part of the paper), the authors present the results of their own econometric analysis. The authors use econometric models in predicting the indicator (W*) – total number of people injured in accidents per thousand employees. Testing classical econometric models, the authors obtained the best forecasts (based on the obtained forecast errors) in the Winters' model and the Brown's model. The accident at work in mining is an important topic for research because the branch of industry belongs to the branch with hard work. Health and safety in mines has a great importance for the sake of specific conditions in that kind of industry. Continuous analysis of accidents at work is necessary in evaluation of system effectiveness of health and safety system in all mines. Forecasting of accident at work can help miners to build safety in mines\",\"PeriodicalId\":50889,\"journal\":{\"name\":\"Acta Montanistica Slovaca\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2022-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Acta Montanistica Slovaca\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.46544/ams.v27i3.05\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"GEOSCIENCES, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta Montanistica Slovaca","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.46544/ams.v27i3.05","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

摘要

本文分析了2010年至2020年期间波兰采矿业的工作事故,并对未来三年进行了预测。本研究由两部分组成。第一部分论述了分析采矿业工作条件的方法。文献综述的一个关键要素是研究人员用来分析采矿事故的计量经济学方法。在实证部分(论文的第二部分),作者给出了他们自己的计量分析结果。作者使用计量经济学模型来预测指标(W*)——每千名雇员中事故受伤的总人数。通过对经典计量经济学模型的检验,作者在温特斯模型和布朗模型中获得了最佳预测(基于得到的预测误差)。矿山事故是一个重要的研究课题,因为矿山工业属于劳动强度较大的行业。矿山的健康和安全对于这类行业的具体情况具有重要意义。对工作事故的持续分析是评价各矿山健康安全体系有效性的必要条件。对工作中发生的事故进行预测,有助于矿井安全建设
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Accident rate in Polish mining. Current status and forecast
The article presents the analysis of accidents at work in the Polish mining industry in the period from 2010 to 2020 with forecasts for the next three years. The study consists of two parts. The first part deals with methods of analysing working conditions in the mining industry. A key element of the literature review is the econometric methods that have been used by researchers to analyse accidents at work in mining. In the empirical part (the second part of the paper), the authors present the results of their own econometric analysis. The authors use econometric models in predicting the indicator (W*) – total number of people injured in accidents per thousand employees. Testing classical econometric models, the authors obtained the best forecasts (based on the obtained forecast errors) in the Winters' model and the Brown's model. The accident at work in mining is an important topic for research because the branch of industry belongs to the branch with hard work. Health and safety in mines has a great importance for the sake of specific conditions in that kind of industry. Continuous analysis of accidents at work is necessary in evaluation of system effectiveness of health and safety system in all mines. Forecasting of accident at work can help miners to build safety in mines
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Acta Montanistica Slovaca
Acta Montanistica Slovaca 地学-地球科学综合
CiteScore
3.60
自引率
12.50%
发文量
60
审稿时长
30 weeks
期刊介绍: Acta Montanistica Slovaca publishes high quality articles on basic and applied research in the following fields: geology and geological survey; mining; Earth resources; underground engineering and geotechnics; mining mechanization, mining transport, deep hole drilling; ecotechnology and mineralurgy; process control, automation and applied informatics in raw materials extraction, utilization and processing; other similar fields. Acta Montanistica Slovaca is the only scientific journal of this kind in Central, Eastern and South Eastern Europe. The submitted manuscripts should contribute significantly to the international literature, even if the focus can be regional. Manuscripts should cite the extant and relevant international literature, should clearly state what the wider contribution is (e.g. a novel discovery, application of a new technique or methodology, application of an existing methodology to a new problem), and should discuss the importance of the work in the international context.
期刊最新文献
Application of the FUZZY TOPSIS method for selecting an underground mining method Persistence in International Energy Prices 1960-2023 Selection of the variant of highway based on the territory susceptibility to landslides – model area D1/R3 highway nearby Oravský Podzámok Renewable energy sources management in the EU-27 countries Oppositional Coyote Optimization based Feature Selection with Deep Learning Model for Intrusion Detection in Fog-Assisted Wireless Sensor Network
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1