How Japan Respond to Population Aging in the Labor Market

DOI

10.2991/assehr.k.220504.203How to use a DOI?

Keywords

Population; Aging; Labor force; Japanese studies

Abstract

Japan had experienced a period of aging for several decades, and the negative growth rate of the population brought the issue of labor shortage and economic decline. The government and departments put the efforts into forming and improving policies, aiming to find valid methods to eliminate the negative influences of aging. This paper discussed a series of policies by the Japanese government to deal with the aging issue and the accompanying decline of labor forces. By analyzing different policies towards population aging and labor forces, it would be beneficial for the decision-makers faced with the aging issue to adjust and change the policies in time. The research conducted the deep research on Google Scholar, Jstor, ProQuest, and Academic Search Premier surrounded with Japanese population and aging issue. The paper covered and analyzed 23 literatures in total and categorized the policies into four groups based on the demographics: older people, women, non-regular workers, and foreigners. These four groups were the minorities in the labor market, but they contained a vast potential to relieve the importance of the aging issue. This research compared the different policies and found that older people and women would significantly increase the labor force and stimulate economic growth. Foreigners or immigrants seemed to be the least possible group to be the future labor forces.

Copyright

© 2022 The Authors. Published by Atlantis Press SARL.

Open Access

This is an open access article distributed under the CC BY-NC 4.0 license.

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TY  - CONF
AU  - Xiaoye Chen
PY  - 2022
DA  - 2022/06/01
TI  - How Japan Respond to Population Aging in the Labor Market
BT  - Proceedings of the 2022 8th International Conference on Humanities and Social Science Research (ICHSSR 2022)
PB  - Atlantis Press
SP  - 1114
EP  - 1119
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.220504.203
DO  - 10.2991/assehr.k.220504.203
ID  - Chen2022
ER  -