题名 |
勞動檢查與職災統計關係探討 |
并列篇名 |
The Study of Correlation between Labor Inspections and Occupational Accidents |
作者 |
黎文龍(Wen-Lung Li);劉國青(Kuo-Ching Liu) |
关键词 |
職業災害 ; 勞動檢查 ; 統計分析 ; Occupational accident ; Labor inspection ; Statistics analysis |
期刊名称 |
勞工安全衛生研究季刊 |
卷期/出版年月 |
21卷3期(2013 / 09 / 01) |
页次 |
366 - 372 |
内容语文 |
繁體中文 |
中文摘要 |
Statistic of occupational accident is an important index of occupational safety and health status. Government needs to compile statistic of occupational accident, forecast that establish policy and appraise outcome. Study makes use of multivalent statistical analysis and Time Series of correlation and regression to study between labor inspection and Occupational accident. The statistic model can bargain policy about preventing occupational accident.Result of statistic analysis has shown high inverse correlation between 1,000 rate of occupational fatality and safety and health inspection (correlation coefficient -0.906; p < 0.001). Another comparison with the manufacturing and construction industry, Founding that the construction industry needs more by means of safety and health inspection to achieve the purpose about preventing occupational accident. The power curve passes through logarithmic change and slope is 0.38 and 0.15, to result that inspection of construction industry is better than inspection of manufacturing. The result of autocorrelation analysis has found that the 1,000 rate of occupational fatality has autocorrelation, can further study reason what is industry of high autocorrelation of occupation accident. Another result of cross autocorrelation analysis has found that cross correlation between 1,000 rate of occupational fatality and safety and health inspection, can bargain about duplicate time of inspection. |
英文摘要 |
Statistic of occupational accident is an important index of occupational safety and health status. Government needs to compile statistic of occupational accident, forecast that establish policy and appraise outcome. Study makes use of multivalent statistical analysis and Time Series of correlation and regression to study between labor inspection and Occupational accident. The statistic model can bargain policy about preventing occupational accident.Result of statistic analysis has shown high inverse correlation between 1,000 rate of occupational fatality and safety and health inspection (correlation coefficient -0.906; p < 0.001). Another comparison with the manufacturing and construction industry, Founding that the construction industry needs more by means of safety and health inspection to achieve the purpose about preventing occupational accident. The power curve passes through logarithmic change and slope is 0.38 and 0.15, to result that inspection of construction industry is better than inspection of manufacturing. The result of autocorrelation analysis has found that the 1,000 rate of occupational fatality has autocorrelation, can further study reason what is industry of high autocorrelation of occupation accident. Another result of cross autocorrelation analysis has found that cross correlation between 1,000 rate of occupational fatality and safety and health inspection, can bargain about duplicate time of inspection. |
主题分类 |
醫藥衛生 >
預防保健與衛生學 醫藥衛生 > 社會醫學 社會科學 > 社會學 |
参考文献 |
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