Korean J Occup Health Nurs.  2016 Feb;25(1):65-74. 10.5807/kjohn.2016.25.1.65.

The Prediction of Industrial Accident Rate in Korea: A Time Series Analysis

• Choi E
• Jeon GS
• Lee WK
• Kim YS

• KMID: 2270672
• DOI: http://doi.org/10.5807/kjohn.2016.25.1.65

Abstract

PURPOSE
The purpose of this study is to predict industrial accident rate using time series analysis.
METHODS
The rates of industrial accident and occupational injury death were analyzed using industrial accident statistics analysis system of the Korea Occupational Safety and Health Agency from 2001 to 2014. Time series analysis was done using the most recent data, such as raw materials of Economically Active Population Survey, Economic Statistics System of the Bank of Korea, and e-National indicators. The best-fit model with time series analysis to predict occupational injury was developed by identifying predictors when the value of Akaike Information Criteria was the lowest point. Variables into the model were selected through a series of expertises' consultations and literature review, which consisted of socioeconomic structure, labor force structure, working conditions, and occupational accidents.
RESULTS
Indexes at the meso- and macro-levels predicting well occurrence of occupational accidents and occupational injury death were labor force participation rate for ages 45-49 and budget for small scaled work-place support. The rates of industrial accident and occupational injury death are expected to decline.
CONCLUSION
For reducing industrial accident continuously, we call for safe employment policy of economically active middle aged adults and support for improving safety work environment of small sized workplace.

Keyword

Industrial accident; Time series analysis

MeSH Terms

Accidents, Occupational*
Adult
Budgets
Employment
Humans
Korea*
Middle Aged
Occupational Health
Occupational Injuries
Referral and Consultation