WU QIANQIANLomonosov Moscow State University, Moscow, Russian Federation 1273696541@qq.com ORCID id: not available
Subject. This article discusses the issues related to digitalization of the economies of the Asia-Pacific region countries and investment in the development of new technologies. Objectives. The article aims to assess whether the Asia-Pacific region countries are ready to implement artificial intelligence technologies in various areas of activity, and to what extent, if they are. It also aims to find the relationship between the spread of artificial intelligence technologies and the development of certain sectors of the economy. Methods. For the study, I used a correlation and regression analysis. Results. The article illustrates the differentiation of Asia-Pacific countries in terms of the adoption of artificial intelligence technologies in the economy and emphasizes that the implementation of AI systems could contribute to GDP growth in the region by 2030. Conclusions and Relevance. The spread of modern digital technologies contributes to productivity growth as well as the transformation of the labor market. The results obtained can be used by countries of the Asia-Pacific region to develop economic development strategies and technology policies.
Keywords: artificial intelligence, economic development, Asia-Pacific region, digital economy, innovation
References:
Agrawal A., Gans J., Goldfarb A. Prediction Machines: The Simple Economics of Artificial Intelligence. Harvard Business Review Press, 2018, 272 p.
Korinek A., Stiglitz J.E. Artificial Intelligence and Its Implications for Income Distribution and Unemployment. NBER Working Papers, 2017, no. 24174. DOI: 10.3386/w24174
Taeihagh A. Governance of Artificial Intelligence. Policy and Society, 2021, vol. 40, iss. 2, pp. 137–157. DOI: 10.1080/14494035.2021.1928377
Bukht R., Heeks R. [Defining, conceptualising and measuring the digital economy]. Vestnik mezhdunarodnykh organizatsii: obrazovanie, nauka, novaya ekonomika, 2018, vol. 13, no. 2, pp. 143–172. (In Russ.) EDN: YXBNWX
Varian H.R. Artificial Intelligence, Economics, and Industrial Organization. NBER Working Papers, 2018, no. 24839. DOI: 10.3386/w24839
Cockburn I.M., Henderson R., Stern S. The Impact of Artificial Intelligence on Innovation. NBER Working Papers, 2018, no. 24449. DOI: 10.3386/w24449
Petralia S. Mapping General Purpose Technologies with Patent Data. Research Policy, 2020, vol. 49, iss. 7. DOI: 10.1016/j.respol.2020.104013
Dong X., McIntyre S.H. The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. Quantitative Finance, 2014, vol. 14, iss. 11, pp. 1895–1896. DOI: 10.1080/14697688.2014.946440
Furman J., Seamans R. AI and the Economy. Innovation Policy and the Economy, 2019, vol. 19, pp. 161–191. DOI: 10.1086/699936
Kai-Fu L. AI Superpowers: China, Silicon Valley, and the New World Order. Harper Business, 2018, 272 p.
Goolsbee A. Public Policy in an AI Economy. NBER Working Papers, 2018, no. 24653. DOI: 10.3386/w24653
Wang K.L., Sun T.T., Xu R.Y. The Impact of Artificial Intelligence on Total Factor Productivity: Empirical Evidence from China’s Manufacturing Enterprises. Economic Change and Restructuring, 2022, vol. 56, iss. 2, pp. 1113–1146. DOI: 10.1007/s10644-022-09467-4
Makridakis S. The Forthcoming Artificial Intelligence (AI) Revolution: Its Impact on Society and Firms. Futures, 2017, vol. 90, pp. 46–60. DOI: 10.1016/j.futures.2017.03.006
Russell S.J., Norvig P. Artificial Intelligence: A Modern Approach. Pearson, 2020, 1136 p.
Trajtenberg M. AI as the Next GPT: A Political-Economy Perspective. NBER Working Papers, 2018, no. 24245. DOI: 10.3386/w24245
Zuboff S. The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. New York, Public Affairs, 2019, 704 p.
