The effects of population aging on South Korea's economy: The National Transfer Accounts approach

被引:11
作者
Kim, Hyun Kyung
Lee, Sang-Hyop [1 ,2 ]
机构
[1] Univ Hawaii Manoa, Dept Econ, 2424 Maile Way, Honolulu, HI 96822 USA
[2] East West Ctr, 2424 Maile Way, Honolulu, HI 96822 USA
关键词
Population aging; Low fertility; National Transfer Accounts; South Korea's aging crisis; Generational economy;
D O I
10.1016/j.jeoa.2021.100340
中图分类号
C921 [人口统计学];
学科分类号
摘要
This study examines how two factors of population aging, changes in fertility and mortality, will respectively affect South Korea's economic future. The economic effects of population aging are examined by considering the population in each age group under alternative demographic scenarios. Utilizing recent population projections and South Korea's National Transfer Accounts, the paper applies a simple decomposition model measuring the respective effects of fertility and mortality on separate aspects of the economy: labor income, private and public consumption, and public and private transfers. The results show that the effects of low fertility and low mortality on the economy are very different in direction, magnitude, timing, and impact by age group. The only effect of an aging population that is the same in all circumstances is the effect on the public pension system: low fertility and mortality will increase pressure on the public pension system of South Korea.
引用
收藏
页数:12
相关论文
共 28 条
[1]  
[Anonymous], 2019, Pensions at a Glance 2019, DOI [DOI 10.1787/B6D3DCFC-EN, 10.1787/8ccf5c38-en]
[2]  
[Anonymous], 2019, Population projections
[3]   Child Gender and Parental Inputs: No More Son Preference in Korea? [J].
Choi, Eleanor Jawon ;
Hwang, Jisoo .
AMERICAN ECONOMIC REVIEW, 2015, 105 (05) :638-643
[5]  
Ferrarini B, 2021, SUSTAINABILITY ASIAS
[6]  
Goldstein J., 2014, Vienna Yearbook of Population Research, V12, P193
[7]   AGE-SPECIFIC GROWTH-RATES - THE LEGACY OF PAST POPULATION-DYNAMICS [J].
HORIUCHI, S ;
PRESTON, SH .
DEMOGRAPHY, 1988, 25 (03) :429-441
[8]  
Jung S., 2018, 2017 Second Half Year Statistical Research Institute Research Reports
[9]  
Keyfitz N., 1975, Quantitative Sociology. International Perspectives on Mathematical and Statistical Modeling, P587
[10]  
Kim H., 2017, 2016 Second Half Year Statistical Research Institute Research Reports