41Received 25.09.2025. Revised 26.11.2025. Accepted 30.12.2025.
Abstract. The new technological revolution associated with the digitalization of many types of activities, with the development of artificial intelligence is becoming a field of competition between countries not only for innovative rents, but also for a place in the new world order. This competition is a challenge for both economic policy and economic theory. We have to admit that the formation of macroeconomic prerequisites for rapid economic restructuring based on new general purpose technologies does not yet have reliable theoretical guidelines. Empirical research calls into question the ability of New Keynesian monetary policy models to provide the necessary guidance. In such a situation, useful information about the macroeconomic conditions of innovative economic growth can be gleaned from the experience of the previous microelectronic technological revolution. The corresponding analysis is carried out in the article on the basis of data on Japan, USA and China. It is revealed that the macroeconomic parameters, which in one phase of the technological revolution changed in the same direction, in another phase are able to demonstrate the opposite dynamics. The essential specificity of these phases leads to the ineffectiveness of universal monetary policy recommendations. Therefore, an appeal to past experience should be aimed at analyzing comparable phases of technological revolutions, at identifying theoretical concepts that proved useful in specific phases. Ignoring the conditions for the effective applicability of a theory harms practice, and ultimately undermines the credibility of the theory itself.
Keywords: technological revolution, technology life cycle, monetary policy, macroeconomic parameters
REFERENCES
1. Kholopov A.V. Macroeconomic Policy at a Crossroads. World Economy and International Relations, 2021, vol. 65, no. 7, pp. 5-15. (In Russ.) Available at: https://doi.org/10.20542/0131-2227-2021-65-7-5-15
2. Grossman G., Helpman E. Innovation and Growth in the Global Economy. Cambridge, MIT Press, 1991. 359 p.
3. Aghion P., Howitt P. A Model of Growth through Creative Destruction. Econometrica, 1992, vol. 60, no. 2, pp. 323-351.
4. Alovokpinhou S.A., Dladla P., Malikane C. International Evidence on the Interest Rate Effect in Dynamic IS Curves. Emerging Markets Finance and Trade, 2024, vol. 60, no. 9, pp. 1890-1907. Available at: https://doi.org.10.1080/1540496X.2023.2293973
5. Rabinovich B., Petreneva E., Virovets K. Features of the Transmission Mechanism Operation in 2023–2024. Analytical Note. Moscow, Bank of Russia, 2025. 28 p. (In Russ.) Available at: https://cbr.ru/Content/Document/File/174676/analytic_note_20250321_dip.pdf (accessed 10.08.2025).
6. Gorodnov A.M., Zubarev A.V. The IS Curve and the Transmission Mechanism in the Context of Inflation Targeting. HSE Economic Journal, 2025, vol. 29, no. 2, pp. 191-213. (In Russ.) Available at: https://cyberleninka.ru/article/n/krivaya-is-i-transmissionnyy-mehanizm-v-usloviyah-inflyatsionnogo-targetirovaniya/viewer (accessed 10.08.2025).
7. Dementiev V.E. Updating Technological Base of Economy and Real Interest Rates. Journal of the New Economic Association, 2023, vol. 60, no. 3, pp. 104-119. (In Russ.) Available at: https://www.econorus.org/repec/journl/2023-60-104-119r.pdf (accessed 08.12.2025).
8. Van den End J.W., Konietschke P., Samarina A., Stanga I. Macroeconomic Reversal Rate: Evidence from a Nonlinear IScurve. De Nederlandsche Bank Working Paper no. 684, 2020. 41 p. Available at: https://ssrn.com/abstract=3610866 (accessed 10.08.2025).
9. Rubbo E. Networks, Phillips Curves, and Monetary Policy. Econometrica, 2023, vol. 91, no. 4, pp. 1417-1455.
10. Leitemo K., Soderstrom U. Robust Monetary Policy in a Small Open Economy. Journal of Economic Dynamics and Control, 2008, vol. 32, no. 10, pp. 3218-3252.
11. Bozhechkova A.V., Polbin A.V. Evidence for the Interest Rate Channel in the IS Curve for the Russian Economy. Economic Policy, 2018, vol. 13, no. 1, pp. 70-91. (In Russ.) Available at: https://cyberleninka.ru/article/n/testirovanie-nalichiya-protsentnogo-kanala-v-krivoy-is-dlya-rossiyskoy-ekonomiki/viewer (accessed 10.08.2025).
12. Nelson E. What Does the UK’s Monetary Policy and Inflation Experience Tell Us about the Transmission Mechanism? Mahadeva L., Sinclair P., eds. Monetary Transmission in Diverse Economies. Cambridge, Cambridge University Press, 2001, pp. 203-262.
13. Nelson E., Nikolov K. Monetary Policy and Stagflation in the UK. Journal of Money, Credit, and Banking, 2004, vol. 36, no. 3a, pp. 293-318. Available at: https://doi.org.10.1353/mcb.2004.0058
14. Goodhart C., Hoffman B. The IS Curve and the Transmission of Monetary Policy: Is There a Puzzle? Applied Economics, 2005, vol. 37, no. 1, pp. 29-36. Available at: https://doi.org/10.1080/0003684042000280355
15. Paradiso A., Kumar S., Rao B. A New Keynesian IS Curve for Australia: is it Forward Looking or Backward Looking? Applied Economics, 2013, vol. 45, no. 26, pp. 3691-3700. Available at: https://doi.org/10.1080/00036846.2012.718068
16. Ma Y., Zhang J. Financial Cycle, Business Cycle and Monetary Policy: Evidence from Four Major Economies. International Journal of Finance & Economics, 2016, vol. 21, no. 4, pp. 502-527.
17. Nelson E. Direct Effects of Base Money on Aggregate Demand: Theory and Evidence. Journal of Monetary Economics, 2002, vol. 49, no. 4, pp. 687-708.
18. Bilbiie F.O., Straub R. Changes in the Output Euler Equation and Asset Markets Participation. Journal of Economic Dynamics and Control, 2012, vol. 36, no. 11, pp. 1659-1672.
19. Nain Z., Kamaiah B. Uncertainty and Effectiveness of Monetary Policy: A Bayesian Markov Switching-VAR Analysis. Journal of Central Banking Theory and Practice, 2020, no. 9 (Special Issue), pp. 237-265. Available at: https://www.researchgate.net/publication/343587350_Uncertainty_and_Effectiveness_of_Monetary_Policy_A_Bayesian_Markov_Switching-VAR_Analysis (accessed 08.12.2025).
20. Mishkin F.S. Rethinking Monetary Policy after the Crisis. Journal of International Money and Finance, 2017, vol. 73, no. 2, pp. 252-274. Available at: http://dx.doi.org/10.1016/j.jimonfin.2017.02.007
21. Yildirim D.C., Turan T. Revisiting of Interest Rate Channel: Nonlinear Transmission of Monetary Policy Shocks to the Turkish Economy. Journal of Central Banking Theory and Practice, Central Bank of Montenegro, 2023, vol. 12, no. 1, pp. 199-223.
22. Larsen J.D.J., McKeown J. The Informational Content of Empirical Measures of Real Interest Rate and Output Gaps for the United Kingdom. Bank of England Working Paper no. 224, 2004. 45 p. Available at: http://dx.doi.org/10.2139/ssrn.641261
23. Balke N.S. Credit and Economic Activity: Credit Regimes and Nonlinear Propagation of Shocks. The Review of Economics and Statistics, 2000, vol. 82, no. 2, pp. 344-349.
24. Cole S.J. Learning and the Effectiveness of Central Bank Forward Guidance. Journal of Money, Credit and Banking, 2021, vol. 53, no. 1, pp. 157-200. Available at: https://doi.org.10.1111/jmcb.12696
25. Lucas R. Econometric Policy Evaluation: A Critique. Brunner K., Meltzer A., eds. The Phillips Curve and Labor Markets, Carnegie-Rochester Conference Series on Public Policy, 1976, vol. 1, pp. 19-46.
26. Stracca L. Is the New Keynesian IS Curve Structural? ECB Working Paper no. 1236. 2010. 47 p. Available at: https://www.researchgate.net/publication/46454880_Is_the_New_Keynesian_IS_Curve_Structural (accessed 10.08.2025).
27. Palley T.I. The Fallacy of the Natural Rate of Interest and Zero Lower Bound Economics: Why Negative Interest Rates May Not Remedy Keynesian Unemployment. Review of Keynesian Economics, 2019, vol. 7, no. 2, pp. 151-170.
28. Bofinger P., Ries M. Excess Saving and Low Interest Rates: Theory and Empirical Evidence. CEPR Discussion Papers 12111. London, Centre for Economic Policy Research, 2017. Available at: https://cepr.org/publications/dp12111 (accessed 10.08.2025).
29. Ha J., Kim D., Kose M.A., Prasad E.S. Resolving Puzzles of Monetary Policy Transmission in Emerging Markets. European Economic Review, 2025, vol. 173, no. 10, p. 104957.
30. Cobham D. A Comprehensive Classification of Monetary Policy Frameworks in Advanced and Emerging Economies. Oxford Economic Papers, 2021, vol. 73, no. 1, pp. 2-26. Available at: https://doi.org/10.1093/oep/gpz056
31. Amisano G., Colavecchio R. Monetary Aggregates and Inflation: A New View on an Old Relationship. BCL Working Papers 195. Central Bank of Luxembourg, 2025. Available at: https://www.bcl.lu/fr/publications/cahiers_etudes/195/index.html (accessed 10.08.2025).
32. Han Qian, Yuan Yufei, Zhao Yuanhang. Output Puzzlein the Monetary Policy Transmission of China: Evidence from Firm Panel Studies. SSRN, 08.09.2022. 50 p. Available at: http://dx.doi.org/10.2139/ssrn.4213114
33. Yeung G. How Banks in China Make Lending Decisions. Journal of Contemporary China, 2009, vol. 18, no. 59, pp. 285-302. Available at: https://doi.org/10.1080/10670560802576034
34. Ivanova N.I., Mamedyarov Z.A. R&D and Innovation: Competition Is Growing. World Economy and International Relations, 2019, vol. 63, no. 5, pp. 47-56. (In Russ.) Available at: https://doi.org/10.20542/0131-2227-2019-63-5-47-56
SOURCES
1. Statistical Handbook of Japan 2009. Available at: https://www.stat.go.jp/english/data/handbook/pdf/2009all.pdf (accessed 10.08.2025).
2. How China Got Rich: a Deep Dive into China’s 40‑year History of Economic Transformation. World Economic Forum, 2025. Available at: https://www.weforum.org/stories/2025/06/how-china-got-rich-40-year-history-of-economic-transformation (accessed 10.08.2025).
3. New Generation of Artificial Intelligence Development Plan. Washington, Foundation for Law and International Affairs, 2017. Available at: https://flia.org/wp-content/uploads/2017/07/A-New-Generation-of-Artificial-Intelligence-Development-Plan-1.pdf (accessed 10.08.2025).



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