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The effect of safety and health activities on the accident rate by occupational safety and health survey
Journal of the Korean Data & Information Science Society 2020;31:65-74
Published online January 31, 2020;
© 2020 Korean Data and Information Science Society.

Han Byul Lee1 · Sun Young Park2 · Chang Hun Lee3 · Young Min Kim4 · Gyo-Young Cho5

145Department of Statistics, Kyungpook National University
23Occupational Safety and Health Research Institute, KOSHA
Correspondence to: Professor, Department of Statistics, Kyungpook National University, Daehakro, Bukgu, Daegu 41566, Korea., Email:
Received December 31, 2019; Revised January 10, 2020; Accepted January 10, 2020.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
This study analyzed the characteristics of workplaces and the level of risk factor according to the results of the 9th Occupational Safety and Health Survey conducted in 2018 by the Safety and Health Agency. The general characteristics, risk factors, and worker characteristics of workplaces by major industries were examined, and the effects of industrial disaster rate and accident rates were examined. Chi-square test were conducted to identify differences in general workplaces, workers’ characteristics and risk factors according to industrial accidents by industry, and the effects on the worker number of industrial disaster and accident were analyzed using Poisson’s regression analysis. As a result, the industrial disaster rate and accident rate are affected by manufacturing’s size, level of risk factors, elderly worker ratio and foreign worker ratio and in service industry’s labor union, level of risk factors and elderly worker ratio. In addition, the industrial disaster rate and accident rate are affected by construction industry’s intercompany relationship and elderly worker ratio. This study aims to provide basic policy data for reducing industrial disaster and accident.
Keywords : Accident rate, industrial disaster rate, occupational safety and health survey, Poisson regression, risk factors.