저출산 관련 예산분석을 통한 정책적·비정책적 요인에 관한 연구 : 아리마분석을 사용하여 [韩语论文]

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The purpose of this thesis is to find out what factors actually affected the fertility rate and to propose feasible policy measures against low fertility in Korea. The time range of the research is between 1970 and 2015, The space range of the researc...

The purpose of this thesis is to find out what factors actually affected the fertility rate and to propose feasible policy measures against low fertility in Korea. The time range of the research is between 1970 and 2015, The space range of the research is Korea. We examine various factors pointed out as the factors of low fertility as policy factors and non-policy factors The data used in the study are as follows. Policy factors analyzed the budget for childbirth-related appropriations for each year from 1970 to 2015. For non-policy factors, related statistics from 1970 to 2015 were collected and used. The research method used the Arima time series analysis by collecting the birth-related budget, which is used as a variable of policy factors, and the non-policy factor, birth-related statistics by year. As a result, first, the relationship between the policy factors - the increase in the net population adjustment budget and the net birth incentive budget- and total fertility rate was zero. In other words, there was no difference between the policy factors - the increase in the net population adjustment budget, the net birth incentive budget and the total fertility rate This indicates that the government has invested a lot of money to increase the fertility rate, but it can be seen that there has been little increase in the budget for the pure population and the budget for the promotion of net fertility, which are direct budgets that can increase the total fertility rate. Second, among the non-policy factors, the wife's first marriage age and youth unemployment rate were found to affect the total fertility rate. The higher the age of first marriage, the shorter the period of childbearing. Therefore, it affects the fertility rate. The youth unemployment rate also has an effect on the total fertility rate with a time lag of three years. Among the non-policy factors, the most prominent are the number of wedding figures, the ratio of education expenses, and the participation rate of women's economic activities. As a result of this study, the number of wedding figures, the ratio of education expenses, and the participation rate of women's economic activities did not affect the total fertility rate, but the relation of time after time was reversed, the total fertility rate affected the number of wedding figures, the ratio of education expenses, and the participation rate of women's economic activities. This can be interpreted as a decrease in the number of wedding figures, a higher the ratio of education expenses, and a lower the participation rate of women's economic activities due to the total fertility rate. Therefore, there is a need to use the budget for low birthrate measures in a concentrated area with more accurate objective. And it is the biggest significance of the study, which has found that various non-policy factors are not directly affecting the results of the low birthrate, but the possibility that other mediating factors could exist.

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