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dc.contributor.authorKantika Khanthawithoonen_US
dc.contributor.authorParavee Maneejuken_US
dc.contributor.authorWoraphon Yamakaen_US
dc.date.accessioned2021-01-27T04:16:56Z-
dc.date.available2021-01-27T04:16:56Z-
dc.date.issued2021-01-01en_US
dc.identifier.issn18609503en_US
dc.identifier.issn1860949Xen_US
dc.identifier.other2-s2.0-85089888915en_US
dc.identifier.other10.1007/978-3-030-49728-6_27en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85089888915&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/71876-
dc.description.abstract© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG. Artificial Intelligence (AI) is performing an increasingly significant role in everyday life as it has the potential to increase the efficiency of productivity and boost the economy. While the technology world is advancing, the mortality rate and the fertility rate of people are declining. These demographic trends have urged many countries to pay a concern to the apparent problems associated with the aging society like the shrinking proportion of the working-age population, which in turn can bring about the decline in productivity and the national economic slow-down. Hence, we aim to investigate the relationship among investment in AI, Aging society, and Economic growth in three advanced countries, namely China, Japan, and the U.S. using the Copula-based simultaneous equations model. The results obtained from the model can conform to our hypothesis only in the case of China and Japan. However, the result of the U.S., is deviated from the hypothesis but challenging.en_US
dc.subjectComputer Scienceen_US
dc.titleAnalyzing the relationship among aging society, investment in artificial intelligence and economic growthen_US
dc.typeBook Seriesen_US
article.title.sourcetitleStudies in Computational Intelligenceen_US
article.volume897en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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