Research ArticleOpen AccessGoogle Scholar indexed
Consideration on Poverty Problem of Young People in Industrialized Countries and Their Solutions
Kagoshima Medical Professional College, Kagoshima-Shi, Japan
- 1 Kagoshima Medical Professional College, Kagoshima-Shi, Japan
Copy link · social · email
Abstract
Increase of irregular workers called working-poor is a problem. This unstable employment makes the poor more poverty. The possibility that a simple work is deprived by the development of artificial intelligence is increasing. From this background, restructuring of social structure and policies become important. In Japan, as the declining birthrate and aging population progresses, there is concern that more people need medical care and nursing care services, so increasing social security expenses is also a problem.
KeywordsWorkerPoorArtificial IntelligenceMedicalNursingEducationWorking-Poor
- (2010) The Essence of Japanese Type Working-Poor: Okawa Machiko: Iwanami Shoten.
- (2014) Black-Company Manager’s Thinking :Akiyama Kenichiro: Fusosha.
- (2008) Is the Working-Poor Self-Responsible?: Takashi Kadokura: Yamato Shobo.
- Current Status and Issues of “Non-Regular Employment” (Ministry of Health, Labor and Welfare). http://www.mhlw.go.jp/file/06-Seisakujouhou-11650000- Shokugyouanteikyokuhakenyukiroudoutaisakubu/0000120286.pdf# search=‘%E5%8E%9A%E5%8A%B4%E7%9C%81+%E9%9D%9E%E6%AD%A3%E8%A6% 8F%E5%8A%B4%E5%83%8D%E8%80%85+%E5%B9%B3%E5%9D%87%E8%B3%83%E9%87%91’
- Sokkun, Y. and Koichi, P. (2009) Korea Working-Poor 880,000 Won Generation: Akashi Shoten.
- Special Feature: Problem of Gaps ◆ Measures against Working-Poor in the US-Federal Policy Recommendations by Think Tank, and Trends in North Carolina-Ibi Mieko. http://www.ndl.go.jp/jp/diet/publication/legis/236/023611.pdf#search =‘%E3%82%A2%E3%83%A1%E3%83%AA%E3%82%AB+%E3%83%AF% E3%83%BC%E3%82%AD%E3%83%B3%E3%82%B0%E3%83% 97%E3%82%A2%E5%AF%BE%E7%AD%96’
- Kokina, J. and Davenport, T.H. (2017) The Emergence of Artificial Intelligence: How Automation is Changing Auditing. Journal of Emerging Technologies in Accounting, 14, 115-122. https://doi.org/10.2308/jeta-51730
- Brynjolfsson, E., Rock, D. and Syverson, C. (2017) Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics. National Bureau of Economic Research, NBER Working Paper No. 24001.
- Siau, K. (2017) Impact of Artificial Intelligence, Robotics, and Automation on Higher Education. Twenty-Third Americas Conference on Information Systems, Boston.