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ISSN : 2765-6934

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Vol.8 No.4

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A Study on the Impact of Artificial Intelligence Industry on Macroeconomy: Evidence from United States of America

Asian Journal of Business Environment / Asian Journal of Business Environment, (P)2765-6934; (E)2765-7027
2018, v.8 no.4, pp.37-44
Yugang He (Chonbuk National University)
Yugang, H. (2018). A Study on the Impact of Artificial Intelligence Industry on Macroeconomy: Evidence from United States of America. Asian Journal of Business Environment, 8(4), 37-44.

Abstract

Purpose - The artificial intelligence industry plays an increasingly significant role in stimulating the development of United States of America’s economy. On account of this background, this paper attempts to explore the impact of artificial intelligence industry on United States of America’s macroeconomy. Research design, data, and methodology - This paper mainly focuses on the impact of artificial intelligence industry on GDP, employment, real income, import, export and foreign direct investment. Furthermore, the Phillips-Perron test and Canonical cointegrating regression will be employed to examine the impact of artificial intelligence industry on United States of America’s macroeconomy with a sample form 2010-Q1 to 2017-Q4. Results - Via the empirical analysis, the results reveal that the artificial intelligence industry has a positive effect on United States of America’s GDP, employment, real income, export and foreign direct investment. Conversely, the artificial intelligence industry has a negative effect on United States of America’s import. Conclusions - In summary, the impact of artificial intelligence industry on United States of America’s macroeconomy is positive and significant in statistics. Therefore, the government of United States of America should put more input into artificial intelligence industry.

keywords
Artificial Intelligence Industry, United States of America’s Macroeconomy, Canonical Cointegrating Regression.

Reference

1.

Acemoglu, D., & Restrepo, P. (2017). Secular stagnation? The effect of aging on economic growth in the age of automation. American Economic Review, 107(5), 174-79.

2.

Acemoglu, D., & Restrepo, P. (2016). The race between machine and man: Implications of technology for growth, factor shares and employment (No. w22252). National Bureau of Economic Research.

3.

Acemoglu, D., & Restrepo, P. (2017). Robots and jobs:Evidence from US labor markets. NBER Working Paper No. 23285.

4.

Acemoglu, D., & Restrepo, P. (2018). The Race between Man and Machine: Implications of Technology for Growth, Factor Shares and Employment. American Economic Review, 108(6), 1488-1542.

5.

Berg, A., Buffie, E. F., & Zanna, L. F. (2016). Robots, growth, and inequality. Finance & Development, 53(3), 10-13.

6.

Brynjolfsson, E., & Hitt, L. M. (2000). Beyond computation:Information technology, organizational transformation and business performance. Journal of Economic perspectives, 14(4), 23-48.

7.

Brynjolfsson, E., Hitt, L. M., & Kim, H. H. (2011, April). Strength in numbers: How does data-driven decisionmaking affect firm performance? Social Science Research Network. Retrieved June 23, 2011, from http://ssrn.com/abstract=1819486

8.

Brynjolfsson, E., & McAfee, A. (2014). The second machine age: Work, progress, and prosperity in a time of brilliant technologies. New York, NY: W. W. Norton & Company.

9.

Brynjolfsson, E., McAfee, A., & Spence, M. (2014). New world order: labor, capital, and ideas in the power law economy. Foreign Affairs, 93(4), 44-53.

10.

Berger, T., & Frey, C. B. (2016). Structural transformation in the OECD: Digitalisation, deindustrialisation and the future of work. OECD Social, Employment, and Migration Working Papers, 193, Retrieved May 22, 2017, from https://www.oxfordmartin.ox.ac.uk/publications /view/2278

11.

David, B. (2017). Computer technology and probable job destructions in Japan: An evaluation. Journal of the Japanese and International Economies, 43, 77-87.

12.

DeCanio, S. J. (2016). Robots and humans–complements or substitutes?. Journal of Macroeconomics, 49, 280-291.

13.

David, H. (2015). Why are there still so many jobs? The history and future of workplace automation. Journal of Economic Perspectives, 29(3), 3-30.

14.

Guerreiro, J., Rebelo, S., & Teles, P. (2017). Should Robots be Taxed?. Working Papers, .23806, Retrieved May 22, 2017, from http://www.nber.org/papers/w23806.pdf

15.

Goldfarb, A., & Trefler, D. (2017). AI and Trade : In Economics of Artificial Intelligence. University of Chicago Press.

16.

Hansen, B. E., & Phillips, P. C. (1990). Estimation and inference in models of cointegration: A simulation study. Advances in Econometrics, 8(1989), 225-248.

17.

Hoedemakers, L. (2017). The Changing Nature of Employment: How Technological Progress and Robotics Shape the Future of Work. Retrieved May 22, 2017, from https://lup.lub.lu.se/student-papers/search/publication /8916714

18.

Kitamura, Y., & Phillips, P. C. (1997). Fully modified IV, GIVE and GMM estimation with possibly non-stationary regressors and instruments. Journal of Econometrics, 80(1), 85-123.

19.

Lankisch, C. (2017). Robots and the skill premium: An automation -based explanation of wage inequality. Hohenheim Discussion Papers in Business, Economics and Social Science, No. 29.

20.

Phillips, A. L. (1995). 1995 Derivatives practices and instruments survey. Financial Management, 24(2), 115-125.

21.

Park, J. Y. (1992). Canonical cointegrating regressions. Econometrica: Journal of the Econometric Society, 60(1), 119-143.

22.

Phillips, P. C., & Loretan, M. (1991). Estimating long-run economic equilibria. The Review of Economic Studies, 58(3), 407-436.

23.

Stock, J., Waston, M., Stock, J., & Watson, M. (2003). Regression with panel data. Introduction to econometrics, 12(1), 123-132.

24.

Saikkonen, P. (1991). Asymptotically efficient estimation of cointegration regressions. Econometric theory, 7(1), 1-21.

25.

Thomas, M. K. (2017). The Rise of Technology and its Influence on Labor Market Outcomes. Gettysburg Economic Review, 10(1), 3. Retrieved May 22, 2017, from https://cupola.gettysburg.edu/ger/?utm_source=cupola. gettysburg.edu%2Fger%2Fvol10%2Fiss1%2F3&utm_medi um=PDF&utm_campaign=PDFCoverPages

26.

Vlieghe, K., Herbots, K., & Hanson, K. (2001). Een bronnenboek over kinderrechten: redactionele toelichting bij deel 4: nuttige informatie. In Kinderrechtengids (KIDS): commentaren, regelgeving, rechtspraak, nuttige informatie. Mys & Breesch.

27.

Virgillito, M. E. (2017). Rise of the robots: Technology and the threat of a jobless future. Labor History, 58(2), 240-242.

28.

Zeira, J. (1998). Workers, machines, and economic growth. The Quarterly Journal of Economics, 113(4), 1091-1117.

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