산업재해 예방정책에 대한 평가모형

Assessment Model for Industrial Accidents Prevention Policy

  • Kim, Youngsun (Social Security Information Service) ;
  • Jo, Jinnam (Department of Statistics & Information Science, Dongduk Women's University) ;
  • Baik, Jaiwook (Department of Information Statistics, Korea National Open University)
  • 투고 : 2016.12.07
  • 심사 : 2017.02.17
  • 발행 : 2017.03.25

초록

Purpose: The purpose of this study is to introduce the assessment model for industrial accidents prevention policy. Methods: 10 years of industrial accidents data are explored through EDA approach. Case control study is tried in order to assess the effectiveness of the measures taken by Korea Safety and Health Agency, Civilian, and 'Ministry of Employment and Labor'. Propensity score matching is used to match the characteristics of the two groups compared, and then case control study is again conducted. Next, logistic and Poisson regressions are used to assess the risk factors. Results: According to case control study involvement of 'Korea Safety and Health Agency' and 'Ministry of Employment and Labor' were not effective, but Civilian was. Propensity score matching leads to the same conclusion. Poisson regression reveals the impact of the risk factors on the industrial accidents. Industrial accidents occur more often as the number of employees grows. Mining, farming, fishing, 'transportation storage and telecommunication' and forestry have a higher level of industrial accidents but service industry has a lower level. It is odd that more involvement of Korea Safety and Health Agency, Civilian, and Ministry of Employment and Labor means more industrial accidents. Conclusion: 'Korea Safety and Health Agency', Civilian, and 'Ministry of Employment and Labor' seem to visit those industries with more industrial accidents.

키워드

참고문헌

  1. Kim, H. Y. and Heo, T. Y. (2010). "An Analysis of relative injury risk by industry and estimation of a circular distribution model for industrial injury". Seoul City Research, Vol. 11, No. 1, pp. 127-138.
  2. Ju, J. H. (1997). "An analysis of factors and structure affecting industrial accidents in Korea". Kyungsung University Ph.D. Dissertation.
  3. Kim, H. S. (2008). "A Study on the relations between industrial accident insurance and the automobile insurance". Labour Law, No. 26, pp. 303-325.
  4. Park, J. S. (2006). "Occupational accidents due to colleague's abusive act and right to reimbursement of industrial accidents compensation insurance". Labour Law, Vol. 22, pp. 363-386.
  5. Kim, S. K. (1998). "A status of the report for industrial injuries and illnesses at an automobile related plant". Annals of Occupational and Environmental Medicine, Vol. 10, No. 4, pp. 562-570.
  6. Lee, C. J., Jun, Y. U., Choi, Y. H., and Jo, A. (2002). "Causes and preventive measures for low back pain industrial accidents suffered by automobile assembly workers". Korea Ergonomics Society Conference Proceeding, pp. 119-123.
  7. Lee, J. C., Shin, S. W., and Lee C. S. (2007). "Accident analysis of middle-aged & advanced-aged construction workers". Korea Architecture Association Conference Proceeding (Structural System), Vol. 27, No. 1, pp. 797- 800.
  8. Lee, K. S. and Jung, B. Y. (2008). "An analysis of industrial accidents in small-scale fiber business". Korea Ergonomics Society Spring Conference Proceeding, pp. 252-255.
  9. Park, H. J. (2007). "Research on industrial disaster in hospital". Korea Ergonomics Society Fall Conference Proceeding, pp. 492-495.
  10. Lee, G. S. et al. (2006). "Relationship between Injury Occurrence and Workplace Organization in Small-sized Manufacturing Factories". Korea Industrial Medicine Society, Vol. 18, No. 2, pp. 73-86.
  11. Lee, S. W., Kim, K. S., and Kim, T. W. (2008). "The status and characteristics of industrial accidents for migrant workers in Korea compared with native workers". Korea Industrial Medicine Society, Vol. 20, No. 4, pp. 351-361.
  12. Kim, H. H. et al. (2009). "An analysis of characteristics of musculoskeletal disorders risk factors". Korea Ergonomics Society, Vol. 28, No. 3, pp. 17-25.
  13. Leem, Y. M., Kwag, J. K., and Hwang, Y. S. (2005). "A feature analysis of industrial accidents using C4.5 algorithm". Korea Safety Society, Vol. 20, No. 4, pp. 130-137.
  14. Leem, Y. M. and Hwang, Y. S. (2006). "Data Analysis of Industrial Accidents in Manufacturing Industries Using CHIAD Algorithm". Korea Safety Management Society/ Korea Cyber Terrorism Information Transfer Society Spring Conference Proceeding, pp. 45-50.
  15. Song, J. M. and Yoon, S. U. (2004). "A study on split selection algorithms in decision tree". Yonsei University Master's Thesis.
  16. Lee, K. N. and Lee, H. C. (2003). "A Study on the combined decision tree (C4.5) and neural network algorithm for classification of mobile telecommunication customer". Korea Intelligence Information System Society, Vol. 9, No. 1, pp. 139-155.
  17. Leem, Y. M. and Ryu, C. H. (2006). "A comparison of data mining techniques for predicting model of industrial accidents". Korea Industrial Management System Society Conference Proceeding, pp. 107-113.
  18. Jung, W. I. and Jun, Y. I. (2014). "Working conditions and industrial accidents in accordance with safety and health environment in the workplace". Korea Crisis Management Society, Vol. 10, pp. 323-344.
  19. Kim, Y. S., Lee, J. H., and Baik, J. W. (2015). "2014 Korea Working Conditions Survey Data Analysis". Journal of Applied Reliability, Vol. 15, No. 3, pp. 181-191.