DOI QR코드

DOI QR Code

Analysis of the relationship between regulation compliance and occupational injuries - Focusing on logistic and poisson regression analysis -

규제 순응도와 산업재해 발생 수준간의 관계 분석 - 로지스틱 회귀분석과 포아송 회귀분석을 중심으로 -

  • Rhee, Kyung-Yong (Occupational Safety and Health Research Institute, KOSHA) ;
  • Kim, Ki-Sik (Occupational Safety and Health Research Institute, KOSHA) ;
  • Yoon, Young-Shik (Occupational Safety and Health Research Institute, KOSHA)
  • 이경용 (한국산업안전보건공단 산업안전보건연구원) ;
  • 김기식 (한국산업안전보건공단 산업안전보건연구원) ;
  • 윤영식 (한국산업안전보건공단 산업안전보건연구원)
  • Received : 2013.04.20
  • Accepted : 2013.06.12
  • Published : 2013.06.30

Abstract

OSHA(Occupational Safety and Health Act) generally regulates employer's business principles in the workplace to maintain safety environment. This act has the fundamental purpose to protect employee's safety and health in the workplace by reducing industrial accidents. Authors tried to investigate the correlation between 'occupational injuries and illnesses' and level of regulation compliance using Survey on Current Status of Occupational Safety & Health data by the various statistical methods, such as generalized regression analysis, logistic regression analysis and poison regression analysis in order to compare the results of those methods. The results have shown that the significant affecting compliance factors were different among those statistical methods. This means that specific interpretation should be considered based on each statistical method. In the future, relevant statistical technique will be developed considering the distribution type of occupational injuries.

Keywords

References

  1. 산업안전보건연구원. 2009년 산업안전보건동향조사, 20109.12.
  2. Arocena P, Nunez I(2010), "An empirical analysis of the effectiveness of occupational health and safety management systems in SMEs", International Small Business Journal Vol. 28, No. 4, pp.398-419 https://doi.org/10.1177/0266242610363521
  3. Bartel AP, Thomas LG(1985), "Direct and indirect effects of regulation: a new look at OSHA's impact", Journal of Law and Economics Vol. 28, No. 1, pp.1-25 https://doi.org/10.1086/467073
  4. Callas, PW, Pastides H, Hosmer DW(1998), Empirical comparisons of proportional hazards, poisson, and logistic regression modeling of occupational cohort data. American Journal of Industrial Medicine Vol. 33, No. 1, pp.33-47. https://doi.org/10.1002/(SICI)1097-0274(199801)33:1<33::AID-AJIM5>3.0.CO;2-X
  5. Foley M, Fan ZJ, Rauser E, Silverstein B(2012), "The Impact of Regulatory Enforcement and Consultation Visits on Workers Compensation Claims Incidence Rates and Costs, 1999-2008", American Journal of Industrial Medicine Vol. 55, pp.976-990 https://doi.org/10.1002/ajim.22084
  6. Gardner W, Mulvey E.P, Shaw E.C(1995), "Regression Analyses of Counts and Rates: Poisson, Overdispersed Poisson, and Negative Binomial Models" Psychological Bulletin Vol. 118, No.3, pp.392-404 https://doi.org/10.1037/0033-2909.118.3.392
  7. Gray WB, Jones CA(1990), "Are OSHA health inspections effective? A longitudinal study in the manufacturing sector", Review of Economics and Statistics, Vol. 73, No. 3, pp.504-508
  8. Gray WB, Jones CA(1991), "Longitudinal patterns of compliance with occupational safety and health administration health and safety regulations in the manufacturing sector", The Journal of Haman Resources, Vol. 26, No. 4, pp.623-653 https://doi.org/10.2307/145978
  9. Gray WB, Scholz JT(1991), "Analyzing the Equity and efficiency of OSHA enforcement", Law & Policy, 13, pp.185-214 https://doi.org/10.1111/j.1467-9930.1991.tb00066.x
  10. Mittlboeck M, Heinzl H(2001), "A note on R2 measures for Poisson and logistic regression models when both models are applicable" Journal of Clinical Epidemiology Vol.54, No.1, pp.99-103 https://doi.org/10.1016/S0895-4356(00)00292-4
  11. Quinlan M(1999), "The implications of labour market restructuring in industrialized societies for occupational health and safety", Economic and Industrial Democracy, Vol. 20, No. 3, pp.427-460 https://doi.org/10.1177/0143831X99203005
  12. Robinson AM(2006), " The contemporary british workplace: a safer and healthier place?", Work Employment & Society, Vol. 20, No. 1, pp.87-107 https://doi.org/10.1177/0950017006061275
  13. Robinson JC(1995), "The impact of environmental and occupational health regulation on productivity growth in U.S. Manufacturing", Yale Journal on Regulation, Vol.12, pp.387-434
  14. Scholz JT, Gray WB(1990), "OSHA enforcement and workplace injuries: A behavioral approach to risk assessment", Journal of Risk and Uncertainty, Vol. 3, Issue 3, pp. 283-305 https://doi.org/10.1007/BF00116786
  15. Shin DJ(2007), "The Effects of the LA Riot on Suicide and Homicide Rates in LA County and Orange County", Social Survey Vol. 13, pp.185-214
  16. Viscusi WK(1986), "The impact of occupational safety and health regulation, 1973-1983", The RAND Journal of Economics, Vol. 17, No. 4, pp.567-5 https://doi.org/10.2307/2555482
  17. Wang K, Lee AH, Yau KKW, Carrvick PWJ (2003), "A bivariate zero-infleated Poisson regression model to analyze occupational injuries" Accident Analysis & Prevention Vol.35, No.4, pp.625-629 https://doi.org/10.1016/S0001-4575(02)00036-2

Cited by

  1. The Effect of Occupational Safety and Health Education on Occupational Accidents vol.26, pp.1, 2016, https://doi.org/10.15269/JKSOEH.2016.26.1.90
  2. Occupational safety and health management system and regulation compliance in manufacturing enterprises vol.15, pp.2, 2013, https://doi.org/10.12812/ksms.2013.15.2.21
  3. The Comparison of Activities of Occupational Safety and Health among Sub-Sectors of Manufacturing Industry vol.29, pp.5, 2014, https://doi.org/10.14346/JKOSOS.2014.29.5.136