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Improving potential economic growing rate of china in the new normal based on artificial intelligence with fuzzy integration.

Authors :
Yu, Jiagen
Sanjuán Martínez, Oscar
Fenza, Giuseppe
Gonzalez Crespo, Ruben
Source :
Journal of Intelligent & Fuzzy Systems; 2021, Vol. 40 Issue 4, p8389-8402, 14p
Publication Year :
2021

Abstract

As we know, AI is deeply integrated with all walks of life. While upgrading traditional products and transforming traditional industries, a large number of new products, new industries and new formats have emerged in large numbers, and new industrial space has been further expanded. The potential for steady economic growth remains huge. However, the influence of merelygrowing capital asset and labor force dimension in terms of boosting economic progress has been waning globally. Considering the China's data panel data outlying areas during 1978–2017 as the research sample, possible economic growing rate of Chinahas been calculated in detail according to the labor-intensive structural time-varying elastic model. It shows a U-shaped development track during 2018–2027, with an average growth rate between 5.00%and 6.00%. There are also great variances in the probable economy growing rates in different regions in China. It shows that relying solely on traditional factors of production to drive potential economic growth, China has been unable to maintain the prosperity of stable development over the past few decades. Based on the experience of typical representative countries, this paper also puts forward some relevant countermeasures and suggestions including focusing on a new round of technological revolutions such as big data, new generation AI, 5 G, IOT, cloud computing, robotics, and blockchain to progress economical growing rate of China in the future. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10641246
Volume :
40
Issue :
4
Database :
Complementary Index
Journal :
Journal of Intelligent & Fuzzy Systems
Publication Type :
Academic Journal
Accession number :
151821667
Full Text :
https://doi.org/10.3233/JIFS-189660