Analysis on the rationality of input and output of occupational health funds in an iron and steel enterprise.
10.3760/cma.j.cn121094-20210316-00149
- Author:
Xu ZHANG
1
;
Hui LIU
2
;
Shu Ling YUE
2
;
Qun ZHANG
1
;
Fu Hai SHEN
1
Author Information
1. School of Public Health, North China University of Science and Technology, Tangshan 063210, China.
2. North China University of Science and Technology Affiliated Hospital, Tangshan 063000, China.
- Publication Type:Journal Article
- Keywords:
Data envelopment analysis;
Economics, Medical;
Health expenditures;
Input output;
Iron and steel enterprise;
Occupational health
- MeSH:
Financial Management;
Iron;
Metallurgy;
Occupational Health;
Steel
- From:
Chinese Journal of Industrial Hygiene and Occupational Diseases
2022;40(8):626-631
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To analyzes the various occupational health investment and occupational health output of a steel enterprise, and propose a reasonable occupational health investment plan for this enterprise. Methods: In march 2016, various occupational health input and output data of various branches of an iron and steel company in 2015 were collected, and the efficiency of occupational health inputs and outputs of each branch was evaluated using data envelopment analysis (DEA) , and the branches with non-optimal efficiency were adjusted to propose a reasonable occupational health investment plan. Results: Among the branch plants investigated by this steel company, the occupational health input-output efficiency values of ironmaking north plant, power plant, hot rolling plant and stainless steel plant were 1, while the occupational health input-output efficiency of gas making plant, cold rolling plant, metallurgical furnace charge plant, coking plant, ironmaking south plant and long product plant were not the best, and the cold rolling plant has the lowest efficiency value of 0.759. For the cold rolling plant, only the parameters of acid rolling plant satisfy α=1 and s(-)=0, s(+)=0, while the remaining four workshops do not meet. After adjusting the inputs of each part according to the parameters, the occupational health output of the remaining four workshops can reach 1.7044, 2.0238, 1.3152 and 1.2136 times of the current workshop, respectively. Adjustment plans for other branch factories with unreasonable investment structures are also presented in the corresponding tables. Conclusion: The occupational health investment structure of the ironmaking south plant and other branches in this steel enterprise is unreasonable, and the adjustment using data envelopment analysis can maximize the benefits of its occupational health output.
