The interaction of digital economy, artificial intelligence and sports industry development --based on China PVAR analysis of provincial panel data

Lu, Laibing; Yang, Shaoxiong; Li, Qiuying

doi:10.1016/j.heliyon.2024.e25688

Cited by 1 publication

(2 citation statements)

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“…Confirming Zhang (2023), the AI economy creates advantages for knowledgeintensive employment. Unlike Lu et al (2024), the AI economy does not influence the complexity of manufactured and exported products.…”

Section: Discussionmentioning

confidence: 99%

“…The existing literature determines the expected advantages (implications) of the development of the AI economy, which are manifested to a different extent in different countries. These advantages include the following:  Improvement of labour productivity due to automatization (Tokunova et al, 2023);  Support for knowledge-intensive employment due to the increased technical complexity of labour with the use of AI and the necessity for manifesting innovative activity (Zhang, 2023);  Technological complications of the manufactured and exported products (Lu et al, 2024);  Improvement of product quality due to high-precision smart production and automatized quality control (Woźniak et al, 2022;Zimon et al, 2022);  Raising the quality of life due to the growth of affordability of goods and services and intellectual support for their selection (Matytsin et al, 2023). A potential drawback of the AI economy is the risk of an increase in the environmental costs of economic growth (Hong and Xiao, 2024).…”

Section: Literature Reviewmentioning

confidence: 99%

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2024

J. Tr., Chal. Art. Intell.

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This paper is devoted to determining the trends of the AI economy in Russia. The method of trend analysis was used to find the dynamics of change in the values of the indicators of development of the AI economy in Russia. As a result, we revealed the specific features of its Russian model. The first feature is that in Russia, the key participant of the AI economy is the government, and the role of business, despite its being a secondary player, constantly grows. The second feature is that Russia successfully strengthens technological sovereignty in the sphere of the AI economy. The main conclusion is that in the Russian model, the advantages of the AI economy are connected with the growth of the share of knowledge-intensive employment and an increase in the quality of life, and its risks consist in a possible slowdown of the growth rate of labour productivity and reduction of the quality of products. The managerial significance of the paper is that the compiled econometric model generalised the leading experience of the top 30 AI economies in the world in 2023 and disclosed the cause-and-effect relationships of its development. The practical significance is that the authors' forecast outlined the perspective of the development of the AI economy in Russia in the Decade of Science and Technologies until 2031.

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Section: Discussionmentioning

confidence: 99%