A Study of the Factors Influencing the Labor Force Participation Rate Among Gender and All Ages by Using Grey Relational Analysis

• Main Authors: Yi-Yun Chang, 張譯云
• Other Authors: Chun-I Chen
• Format: Others
• Language: zh-TW
• Published: 2017
• Online Access: http://ndltd.ncl.edu.tw/handle/6924q4

碩士 === 義守大學 === 工業管理學系 === 105 === With social changes, family type transformation and education level elevation, these affect less in overall labor participation rate, but its decreasing in male, increasing in female. However, there are many factors that affect the labor participation rate. Generally, the researches on the labor participation rate mainly focus on comprehensively discussing and influencing factors of female labor force participation rate, and less on the overall labor force participation rate classified by sex and age, In fact, the factors affecting labor participation rate may vary depending on various age group. In this study, ten influencing factors between 2006 and 2015 were taken as the key ones. Through the gray relational analysis, the factors influencing the labor participation rate and the influencing factors of the labor participation rate of all ages were analyzed. According to the results of the study, there are five factors (including fertility rate, average salary structure, marriage rate, population aged over 65, and unemployment rate) in addition to the labor participation rate of 15 to 24 years. The labor force participation rate has a significant effect on labor participation rate among all age groups (25-44, 45-64, and 65 years old), but the degree of influence is slightly different, among which the influence of fertility and average salary structure are maximum. Fertility rate, divorce rate, marriage rate, average salary structure, unemployment rate, labor participation rate of 15 to 24 years of age have a more significant impact. Further study of the correlation between the 10 factors, the gross domestic product is the most important, in other words, it play dominant role on affecting the other nine factors. From the quantitative order, it could see that the unemployment rate is the second, followed by economic growth rate, while the 65-year-old population over the total population ratio is the least.