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The Effect of Artificial Intelligence on Economic Growth: Evidence from Cross-Province Panel Data

  • HE, Yugang (Department of International Trade, Jeonbuk National University)
  • Received : 2019.11.25
  • Accepted : 2019.12.10
  • Published : 2019.12.30

Abstract

With the Chinese government's attention to the artificial intelligence industry, the Chinese government has invested a lot in it recently. Of course, the importance of artificial intelligence industry for China's economic development is increasingly significant. The advent of artificial intelligence boom has also triggered a large number of scientists to analyze the impact of artificial intelligence on economic growth. Therefore, this paper use 31 China's cross-province panel data to study the effect of artificial intelligence on economic growth. Via empirical analyses under a series of econometric methods such as the province and year fixed effect model, the empirical result shows that artificial intelligence has a positive and significant effect on economic growth. Namely, the artificial intelligence is a new engine for economic growth. Meanwhile, the empirical results also indicate that the investment and consumption has a significant and positive effect on economic growth. Oppositely, the inflation and government purchase have a significant negative effect on economic growth. These findings in this paper also provide some important evidences for policy-makers to perform precise behaviors so as to promote the economic growth. Moreover, these finding enriches existing literature on artificial intelligence and economic growth.

Keywords

References

  1. Acemoglu, D., & Restrepo, P. (2016). The race between machines and humans: Implications for growth, factor shares and jobs.
  2. Aghion, P., & Howitt, P. (1991). Unemployment: a symptom of stagnation or a side-effect of growth?, European Economic Review, 35(2-3), 535-541. https://doi.org/10.1016/0014-2921(91)90155-C
  3. Aghion, P., Jones, B. F., & Jones, C. I. (2017). Artificial intelligence and economic growth (No. w23928). National Bureau of Economic Research.
  4. Barro, R. J. (2001). Human capital and growth. American economic review, 91(2), 12-17. https://doi.org/10.1257/aer.91.2.12
  5. Brynjolfsson, E., & McAfee, A. (2014). The Second Machine Age: Work. Progress, and Prosperity in a Time of Brilliant Technologies, New York.
  6. Foster, A. D., & Rosenzweig, M. R. (2003). Economic growth and the rise of forests. The Quarterly Journal of Economics, 118(2), 601-637. https://doi.org/10.1162/003355303321675464
  7. Grossman, G. M., & Helpman, E. (1991). Trade, knowledge spillovers, and growth. European economic review, 35(2-3), 517-526. https://doi.org/10.1016/0014-2921(91)90153-A
  8. Hanson, R. (2001). Economic growth given machine intelligence. Technical Report, University of California, Berkeley.
  9. Mankiw, N. G., Romer, D., & Weil, D. N. (1992). A contribution to the empirics of economic growth. The quarterly journal of economics, 107(2), 407-437. https://doi.org/10.2307/2118477
  10. Romer, P. M. (1990). Endogenous technological change. Journal of political Economy, 98(5, Part 2), S71-S102. https://doi.org/10.1086/261725
  11. Valdovinos, C. G. F. (2003). Inflation and economic growth in the long run. Economics Letters, 80(2), 167-173. https://doi.org/10.1016/S0165-1765(03)00085-5
  12. Xu, Z. (2000). Financial development, investment, and economic growth. Economic inquiry, 38(2), 331-344. https://doi.org/10.1111/j.1465-7295.2000.tb00021.x
  13. Zeira, J. (1998). Workers, machines, and economic growth. The Quarterly Journal of Economics, 113(4), 1091-1117. https://doi.org/10.1162/003355398555847