Research on the development relationship between safety production indicators and economic and social indicators in China

In order to study the relationship between China's safety production indicators and economic and social indicators, the development trend of indicator data in the past 20 years was statistically analyzed, and qualitative and quantitative research was conducted using grey relational analysis and multiple linear regression analysis methods. In the past two decades, there has been a significant improvement in the number of deaths, work-related injuries, and occupational patients in China's safety production, and the country's three categories of 14 economic and social indicators have achieved rapid development. Using the grey relation analysis method, the grey correlation degree between the number of deaths, work-related injuries, and occupational patients in China over the past twenty years and 14 economic and social indicators was obtained. The ranking of economic and social indicators that affect the number of deaths, work-related injuries, and occupational patients varies greatly. A multiple linear regression model was established for the number of deaths, work-related injuries, occupational diseases, and 14 economic and social indicators. The rationality of the model was verified from four aspects: R<sup>2</sup>, F-value, P-value, and deviation between actual and fitted values. Provide guidance for the development of safety production indicators and economic and social indicators in China through research.

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Publication Details

Journal
Scientific Reports
Published
2024-08-26
DOI
https://doi.org/10.1038/s41598-024-70945-y
Citations
2
Primary Topic
Occupational Health and Safety Research
Type
article
Field-Weighted Citation Impact
0.90
Controls
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article

Research on the development relationship between safety production indicators and economic and social indicators in China

Hongqing Zhu, Shuhao Fang, Dandan Han
2 citations
Scientific Reports
Occupational Health and Safety Research
0.90
article

Research on the development relationship between safety production indicators and economic and social indicators in China

Hongqing Zhu, Shuhao Fang, Dandan Han
article en
2 citations

Abstract

In order to study the relationship between China's safety production indicators and economic and social indicators, the development trend of indicator data in the past 20 years was statistically analyzed, and qualitative and quantitative research was conducted using grey relational analysis and multiple linear regression analysis methods. In the past two decades, there has been a significant improvement in the number of deaths, work-related injuries, and occupational patients in China's safety production, and the country's three categories of 14 economic and social indicators have achieved rapid development. Using the grey relation analysis method, the grey correlation degree between the number of deaths, work-related injuries, and occupational patients in China over the past twenty years and 14 economic and social indicators was obtained. The ranking of economic and social indicators that affect the number of deaths, work-related injuries, and occupational patients varies greatly. A multiple linear regression model was established for the number of deaths, work-related injuries, occupational diseases, and 14 economic and social indicators. The rationality of the model was verified from four aspects: R<sup>2</sup>, F-value, P-value, and deviation between actual and fitted values. Provide guidance for the development of safety production indicators and economic and social indicators in China through research.

Scientific ReportsVol. 14(1)
China University of Mining and Technology (CN), Zhejiang Ocean University (CN), Ion Exchange (India) (IN)
Decent work and economic growth
Openalex Percentile: Top 26%
Occupational Health and Safety Research
0.90
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Research on the development relationship between safety production indicators and economic and social indicators in China — Hongqing Zhu, Shuhao Fang, et al. · Scientific Reports (2024) | TGRS Research Map | TGRS