Analysis of the Correlation between Occupational Accidents and Economic Factors in China
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 a...
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| Veröffentlicht in: | International journal of environmental research and public health 2021-10, Vol.18 (20), p.10781 |
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| creator | Li, Chengwu Wang, Xiangbing Wei, Chengmin Hao, Min Qiao, Zhen He, Yonghang |
| description | 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. |
| doi_str_mv | 10.3390/ijerph182010781 |
| format | Article |
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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.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph182010781</identifier><identifier>PMID: 34682524</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Accidents ; Coal mining ; Construction industry ; Correlation analysis ; Correlation coefficient ; Correlation coefficients ; Data envelopment analysis ; Economic activity ; Economic development ; Economic factors ; Economic growth ; Economic indicators ; Education ; Energy consumption ; Funds ; GDP ; Gross Domestic Product ; Indicators ; Industrial accidents ; Injuries ; Macroeconomics ; Mathematical models ; Mines ; Mining accidents & safety ; Mortality ; Occupational accidents ; Occupational safety ; Per capita ; Regression analysis ; Research methodology ; Socioeconomic factors ; Traffic accidents & safety ; Workplace accidents</subject><ispartof>International journal of environmental research and public health, 2021-10, Vol.18 (20), p.10781</ispartof><rights>2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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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.</description><subject>Accidents</subject><subject>Coal mining</subject><subject>Construction industry</subject><subject>Correlation analysis</subject><subject>Correlation coefficient</subject><subject>Correlation coefficients</subject><subject>Data envelopment analysis</subject><subject>Economic activity</subject><subject>Economic development</subject><subject>Economic factors</subject><subject>Economic growth</subject><subject>Economic indicators</subject><subject>Education</subject><subject>Energy consumption</subject><subject>Funds</subject><subject>GDP</subject><subject>Gross Domestic Product</subject><subject>Indicators</subject><subject>Industrial accidents</subject><subject>Injuries</subject><subject>Macroeconomics</subject><subject>Mathematical models</subject><subject>Mines</subject><subject>Mining accidents & safety</subject><subject>Mortality</subject><subject>Occupational accidents</subject><subject>Occupational safety</subject><subject>Per capita</subject><subject>Regression analysis</subject><subject>Research methodology</subject><subject>Socioeconomic factors</subject><subject>Traffic accidents & safety</subject><subject>Workplace accidents</subject><issn>1660-4601</issn><issn>1661-7827</issn><issn>1660-4601</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdUc9LwzAYDaK4OT17DXiuS5s0TS7CKJsKg10UvIU0SW1Gl9SkVfbfW90Q9fT9eI_3vY8HwHWKbjHmaG63JnRNyjKUooKlJ2CaUooSQlF6-qufgIsYtwhhRig_BxNMKMvyjEzBy8LJdh9thL6GfWNg6UMwreytd7Ay_YcxDm6UGrrvlWzhQimrjesjlE7DpfLO76yCK6l6HyK0DpaNdfISnNWyjebqWGfgebV8Kh-S9eb-sVysE4U565PCcJRKxYpq9FNQSSpdj8byIqNaj3NFCUHIaClZgSWnmeaoporxAptKKYln4O6g2w3Vzmg1OguyFV2wOxn2wksr_iLONuLVvwuW45wzMgrcHAWCfxtM7MXWD2H8NIosH_GCoxyNrPmBpYKPMZj650KKxFcU4l8U-BMotX1d</recordid><startdate>20211014</startdate><enddate>20211014</enddate><creator>Li, Chengwu</creator><creator>Wang, Xiangbing</creator><creator>Wei, Chengmin</creator><creator>Hao, Min</creator><creator>Qiao, Zhen</creator><creator>He, Yonghang</creator><general>MDPI AG</general><general>MDPI</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-8973-8903</orcidid></search><sort><creationdate>20211014</creationdate><title>Analysis of the Correlation between Occupational Accidents and Economic Factors in China</title><author>Li, Chengwu ; 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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.</abstract><cop>Basel</cop><pub>MDPI AG</pub><pmid>34682524</pmid><doi>10.3390/ijerph182010781</doi><orcidid>https://orcid.org/0000-0002-8973-8903</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Accidents Coal mining Construction industry Correlation analysis Correlation coefficient Correlation coefficients Data envelopment analysis Economic activity Economic development Economic factors Economic growth Economic indicators Education Energy consumption Funds GDP Gross Domestic Product Indicators Industrial accidents Injuries Macroeconomics Mathematical models Mines Mining accidents & safety Mortality Occupational accidents Occupational safety Per capita Regression analysis Research methodology Socioeconomic factors Traffic accidents & safety Workplace accidents |
| title | Analysis of the Correlation between Occupational Accidents and Economic Factors in China |
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