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Economic, Social, Medical, Work Injury, and Environmental Efficiency Assessments.
Zhong Fang1, Yung-Ho Chiu2, Tai-Yu Lin3
1Fujian Normal University, Fuzhou, Fujian, P.R. China.
Summary
This study reveals how air quality impacts industrial accident management efficiency in China. Poor air quality, measured by the Air Quality Index (AQI), significantly affects economic, social, and medical efficiencies, influencing work injury outcomes.
Area of Science:
- Environmental Science
- Economics
- Public Health
Background:
- Industrial accident management is crucial for social order and production.
- Previous studies often overlook the interplay between economic, social, medical, and environmental factors in industrial accidents.
- Existing models frequently lack dynamic considerations and fail to account for welfare and pollution impacts.
Purpose of the Study:
- To analyze the dynamic efficiencies of economic, social, medical, and environmental factors in China's provincial industrial accident management.
- To address the limitations of static models by incorporating welfare and pollution dynamics.
- To investigate the influence of environmental pollution, specifically the Air Quality Index (AQI), on work injury insurance expenditure efficiency.
Main Methods:
- Utilized a modified undesirable two-stage dynamic exogenous data envelopment analysis (DEA) model.
- Analyzed data from 30 provinces in China.
- Assessed economic, social, medical, and environmental efficiencies, with a focus on work injury insurance expenditure.
Main Results:
- The Air Quality Index (AQI) significantly impacts the efficiency rankings of Chinese provinces regarding industrial accidents.
- AQI demonstrates a substantial influence on overall factor efficiency, rescue invalid deaths, and work-related injuries.
- The effect of AQI on the efficiency of work injury insurance benefits was found to be relatively small.
Conclusions:
- Environmental quality, particularly air quality, is a critical determinant of industrial accident management efficiency.
- Policy recommendations should consider the social benefits of environmental governance and its impact on human capital efficiency.
- Dynamic DEA models offer a more comprehensive approach to understanding the complex interactions between economic activities, social welfare, and environmental pollution.
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