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Artificial intelligence and productivity: global evidence from AI patent and bibliometric data

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  • Aleksandra Parteka

    (Gdansk University of Technology, Gdansk, Poland)

  • Aleksandra Kordalska

    (Gdansk University of Technology, Gdansk, Poland)

Abstract

In this paper we analyse the relationship between technological innovation in the artificial intelligence (AI) domain and productivity. We embed recently released data on patents and publications related to AI in an augmented model of productivity growth, which we estimate for the OECD countries and compare to an extended sample including non-OECD countries. Our instrumental variable estimates, which account for AI endogeneity, provide evidence in favour of the modern productivity paradox. We show that the development of AI technologies remains a niche innovation phenomenon with a negligible role in the officially recorded productivity growth process. This general result, i.e. a lack of a strong relationship between AI and macroeconomic productivity growth, is robust to changes in the country sample, in the way we quantify labour productivity and technology (including AI stock), in the specification of the empirical model (control variables) and in estimation methods.

Suggested Citation

  • Aleksandra Parteka & Aleksandra Kordalska, 2022. "Artificial intelligence and productivity: global evidence from AI patent and bibliometric data," GUT FME Working Paper Series A 67, Faculty of Management and Economics, Gdansk University of Technology, revised Sep 2022.
    • Handle: RePEc:gdk:wpaper:67
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    as
    1. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-1037, October.
    2. Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2021. "The Productivity J-Curve: How Intangibles Complement General Purpose Technologies," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(1), pages 333-372, January.
    3. Nicholas Bloom & Charles I. Jones & John Van Reenen & Michael Webb, 2020. "Are Ideas Getting Harder to Find?," American Economic Review, American Economic Association, vol. 110(4), pages 1104-1144, April.
    4. Joseph Zeira, 1998. "Workers, Machines, and Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(4), pages 1091-1117.
    5. Robert C. Feenstra & Robert Inklaar & Marcel P. Timmer, 2015. "The Next Generation of the Penn World Table," American Economic Review, American Economic Association, vol. 105(10), pages 3150-3182, October.
    6. Crafts, Nicholas, 2004. "Productivity Growth in the Industrial Revolution: A New Growth Accounting Perspective," The Journal of Economic History, Cambridge University Press, vol. 64(2), pages 521-535, June.
    7. Oliner, Stephen D. & Sichel, Daniel E. & Stiroh, Kevin J., 2008. "Explaining a productive decade," Journal of Policy Modeling, Elsevier, vol. 30(4), pages 633-673.
    8. Sala-i-Martin, Xavier X, 1996. "The Classical Approach to Convergence Analysis," Economic Journal, Royal Economic Society, vol. 106(437), pages 1019-1036, July.
    9. Dale W. Jorgenson & Mun S. Ho & Kevin J. Stiroh, 2008. "A Retrospective Look at the U.S. Productivity Growth Resurgence," Journal of Economic Perspectives, American Economic Association, vol. 22(1), pages 3-24, Winter.
    10. Daron Acemoglu & Claire Lelarge & Pascual Restrepo, 2020. "Competing with Robots: Firm-Level Evidence from France," AEA Papers and Proceedings, American Economic Association, vol. 110, pages 383-388, May.
    11. Robert M. Solow, 1956. "A Contribution to the Theory of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 70(1), pages 65-94.
    12. Georg Graetz & Guy Michaels, 2018. "Robots at Work," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 753-768, December.
    13. Jones, Charles I., 2005. "Growth and Ideas," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 16, pages 1063-1111, Elsevier.
    14. Peter Gal & Giuseppe Nicoletti & Theodore Renault & Stéphane Sorbe & Christina Timiliotis, 2019. "Digitalisation and productivity: In search of the holy grail – Firm-level empirical evidence from EU countries," OECD Economics Department Working Papers 1533, OECD Publishing.
    15. Carol Corrado & Charles Hulten & Daniel Sichel, 2009. "Intangible Capital And U.S. Economic Growth," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(3), pages 661-685, September.
    16. Adam B. Jaffe & Manuel Trajtenberg, 2005. "Patents, Citations, and Innovations: A Window on the Knowledge Economy," MIT Press Books, The MIT Press, edition 1, volume 1, number 026260065x, December.
    17. Dirk Pilat & Franck Lee & Bart van Ark, 2003. "Production and Use of ICT: A Sectoral Perspective on Productivity Growth in the OECD Area," OECD Economic Studies, OECD Publishing, vol. 2002(2), pages 47-78.
    18. Acemoglu, Daron & Johnson, Simon & Robinson, James A., 2005. "Institutions as a Fundamental Cause of Long-Run Growth," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 1, chapter 6, pages 385-472, Elsevier.
    19. Lene Kromann & Nikolaj Malchow-Møller & Jan Rose Skaksen & Anders Sørensen, 2020. "Automation and productivity—a cross-country, cross-industry comparison," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 29(2), pages 265-287.
    20. David M. Byrne & John G. Fernald & Marshall B. Reinsdorf, 2016. "Does the United States Have a Productivity Slowdown or a Measurement Problem?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 47(1 (Spring), pages 109-182.
    21. Mario Benassi & Elena Grinza & Francesco Rentocchini & Laura Rondi, 2022. "Patenting in 4IR technologies and firm performance [Robots and jobs: evidence from US labor markets]," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 31(1), pages 112-136.
    22. Ceccobelli, M. & Gitto, S. & Mancuso, P., 2012. "ICT capital and labour productivity growth: A non-parametric analysis of 14 OECD countries," Telecommunications Policy, Elsevier, vol. 36(4), pages 282-292.
    23. Nadim Ahmad & Jennifer Ribarsky & Marshall Reinsdorf, 2017. "Can potential mismeasurement of the digital economy explain the post-crisis slowdown in GDP and productivity growth?," OECD Statistics Working Papers 2017/9, OECD Publishing.
    24. Daron Acemoglu & David Autor & David Dorn & Gordon H. Hanson & Brendan Price, 2014. "Return of the Solow Paradox? IT, Productivity, and Employment in US Manufacturing," American Economic Review, American Economic Association, vol. 104(5), pages 394-399, May.
    25. Schankerman, Mark & Pakes, Ariel, 1986. "Estimates of the Value of Patent Rights in European Countries during the Post-1950 Period," Economic Journal, Royal Economic Society, vol. 96(384), pages 1052-1076, December.
    26. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-351, March.
    27. Miyagawa, Tsutomu & Tonogi, Konomi & Ishikawa, Takayuki, 2021. "Does the productivity J-curve exist in Japan?-Empirical studies based on the multiple q theory," Journal of the Japanese and International Economies, Elsevier, vol. 61(C).
    28. Crafts, Nicholas & Mills, Terence C., 2020. "Is The Uk Productivity Slowdown Unprecedented?," National Institute Economic Review, National Institute of Economic and Social Research, vol. 251, pages 47-53, February.
    29. Peter Gal & Giuseppe Nicoletti & Christina von Rüden & Stéphane Sorbe & Théodore Renault, 2019. "Digitalization and Productivity: In Search of the Holy Grail - Firm-level Empirical Evidence from European Countries," International Productivity Monitor, Centre for the Study of Living Standards, vol. 37, pages 39-71, Fall.
    30. Jakub Growiec, 2019. "The Hardware–Software Model: A New Conceptual Framework of Production, R&D, and Growth with AI," Working Paper series 19-18, Rimini Centre for Economic Analysis.
    31. Elstner, Steffen & Feld, Lars P. & Schmidt, Christoph M., 2018. "The German productivity paradox: Facts and explanations," Ruhr Economic Papers 767, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    32. Michael Koch & Ilya Manuylov & Marcel Smolka, 2021. "Robots and Firms," The Economic Journal, Royal Economic Society, vol. 131(638), pages 2553-2584.
    33. Barro, Robert J. & Lee, Jong Wha, 2013. "A new data set of educational attainment in the world, 1950–2010," Journal of Development Economics, Elsevier, vol. 104(C), pages 184-198.
    34. Daron Acemoglu & Pascual Restrepo, 2018. "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," American Economic Review, American Economic Association, vol. 108(6), pages 1488-1542, June.
    35. Fujii, Hidemichi & Managi, Shunsuke, 2018. "Trends and priority shifts in artificial intelligence technology invention: A global patent analysis," Economic Analysis and Policy, Elsevier, vol. 58(C), pages 60-69.
    36. Robert J. Gordon, 2018. "Why Has Economic Growth Slowed When Innovation Appears to be Accelerating?," NBER Working Papers 24554, National Bureau of Economic Research, Inc.
    37. Paolo Buccirossi & Lorenzo Ciari & Tomaso Duso & Giancarlo Spagnolo & Cristiana Vitale, 2013. "Competition Policy and Productivity Growth: An Empirical Assessment," The Review of Economics and Statistics, MIT Press, vol. 95(4), pages 1324-1336, October.
    38. Miller, Stephen M. & Upadhyay, Mukti P., 2000. "The effects of openness, trade orientation, and human capital on total factor productivity," Journal of Development Economics, Elsevier, vol. 63(2), pages 399-423, December.
    39. Marcel P. Timmer & Bart van Ark, 2005. "Does information and communication technology drive EU-US productivity growth differentials?," Oxford Economic Papers, Oxford University Press, vol. 57(4), pages 693-716, October.
    40. Nicholas Crafts, 2018. "The productivity slowdown: is it the ‘new normal’?," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 34(3), pages 443-460.
    41. Chad Syverson, 2017. "Challenges to Mismeasurement Explanations for the US Productivity Slowdown," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 165-186, Spring.
    42. Bart van Ark & Mary O'Mahoney & Marcel P. Timmer, 2008. "The Productivity Gap between Europe and the United States: Trends and Causes," Journal of Economic Perspectives, American Economic Association, vol. 22(1), pages 25-44, Winter.
    43. Giacomo Damioli & Vincent Van Roy & Daniel Vertesy, 2021. "The impact of artificial intelligence on labor productivity," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 11(1), pages 1-25, March.
    44. William D. Nordhaus, 2021. "Are We Approaching an Economic Singularity? Information Technology and the Future of Economic Growth," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(1), pages 299-332, January.
    45. Martin Feldstein, 2017. "Underestimating the Real Growth of GDP, Personal Income, and Productivity," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 145-164, Spring.
    46. Polák, Petr, 2017. "The productivity paradox: A meta-analysis," Information Economics and Policy, Elsevier, vol. 38(C), pages 38-54.
    47. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
    48. Arthur Lewbel, 2012. "Using Heteroscedasticity to Identify and Estimate Mismeasured and Endogenous Regressor Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(1), pages 67-80.
    49. Igna, Ioana & Venturini, Francesco, 2023. "The determinants of AI innovation across European firms," Research Policy, Elsevier, vol. 52(2).
    50. Davide Castellani & Fabio Lamperti & Katiuscia Lavoratori, 2022. "Measuring adoption of industry 4.0 technologies via international trade data: insights from European countries," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 49(1), pages 51-93, March.
    51. Bart van Ark, 2016. "The Productivity Paradox of the New Digital Economy," International Productivity Monitor, Centre for the Study of Living Standards, vol. 31, pages 3-18, Fall.
    52. Philippe Aghion, 2005. "Growth and Institutions," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 32(1), pages 3-18, March.
    53. Cugno, Monica & Castagnoli, Rebecca & Büchi, Giacomo & Pini, Marco, 2022. "Industry 4.0 and production recovery in the covid era," Technovation, Elsevier, vol. 114(C).
    54. Carol Corrado & Jonathan Haskel & Cecilia Jona-Lasinio, 2021. "Artificial intelligence and productivity: an intangible assets approach," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 37(3), pages 435-458.
    55. Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2019. "The Economics of Artificial Intelligence: An Agenda," NBER Books, National Bureau of Economic Research, Inc, number agra-1, January.
    56. Robert J. Gordon, 2016. "Perspectives on The Rise and Fall of American Growth," American Economic Review, American Economic Association, vol. 106(5), pages 72-76, May.
    57. Pieri, Fabio & Vecchi, Michela & Venturini, Francesco, 2018. "Modelling the joint impact of R&D and ICT on productivity: A frontier analysis approach," Research Policy, Elsevier, vol. 47(9), pages 1842-1852.
    58. Jarmila Botev & Balázs Égert & Zuzana Smidova & David Turner, 2019. "A new macroeconomic measure of human capital with strong empirical links to productivity," OECD Economics Department Working Papers 1575, OECD Publishing.
    59. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343, National Bureau of Economic Research, Inc.
    60. Helene Dernis & Petros Gkotsis & Nicola Grassano & Shohei Nakazato & Mariagrazia Squicciarini & Brigitte van Beuzekom & Antonio Vezzani, 2019. "World Corporate Top R&D investors: Shaping the Future of Technologies and of AI," JRC Research Reports JRC117068, Joint Research Centre.
    61. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    62. Stefano Baruffaldi & Brigitte van Beuzekom & Hélène Dernis & Dietmar Harhoff & Nandan Rao & David Rosenfeld & Mariagrazia Squicciarini, 2020. "Identifying and measuring developments in artificial intelligence: Making the impossible possible," OECD Science, Technology and Industry Working Papers 2020/05, OECD Publishing.
    63. Rainer Klump & Peter McAdam & Alpo Willman, 2007. "Factor Substitution and Factor-Augmenting Technical Progress in the United States: A Normalized Supply-Side System Approach," The Review of Economics and Statistics, MIT Press, vol. 89(1), pages 183-192, February.
    64. Ballestar, María Teresa & Díaz-Chao, Ángel & Sainz, Jorge & Torrent-Sellens, Joan, 2020. "Knowledge, robots and productivity in SMEs: Explaining the second digital wave," Journal of Business Research, Elsevier, vol. 108(C), pages 119-131.
    65. Robert Inklaar & Mary O'Mahony & Marcel Timmer, 2005. "ICT AND EUROPE's PRODUCTIVITY PERFORMANCE: INDUSTRY‐LEVEL GROWTH ACCOUNT COMPARISONS WITH THE UNITED STATES," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 51(4), pages 505-536, December.
    66. Watanabe, Chihiro & Naveed, Kashif & Tou, Yuji & Neittaanmäki, Pekka, 2018. "Measuring GDP in the digital economy: Increasing dependence on uncaptured GDP," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 226-240.
    67. Alessandro Dalla Benetta & Maciej Sobolewski & Daniel Nepelski, 2021. "AI Watch: 2020 EU AI investments," JRC Research Reports JRC126477, Joint Research Centre.
    68. Jones, Charles I, 1995. "R&D-Based Models of Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 759-784, August.
    69. Venturini, Francesco, 2022. "Intelligent technologies and productivity spillovers: Evidence from the Fourth Industrial Revolution," Journal of Economic Behavior & Organization, Elsevier, vol. 194(C), pages 220-243.
    70. Agrawal, Ajay & Gans, Joshua & Goldfarb, Avi (ed.), 2019. "The Economics of Artificial Intelligence," National Bureau of Economic Research Books, University of Chicago Press, number 9780226613338, August.
    71. René A. Belderbos & Michał Kazimierczak & Micheline Goedhuys, 2022. "Trademarks, patents and the appropriation strategies of incumbents: the scope of new firm formation in European regions," Regional Studies, Taylor & Francis Journals, vol. 56(2), pages 210-226, February.
    72. Gordon, Robert J., 2018. "Why Has Economic Growth Slowed When Innovation Appears To Be Accelerating?," CEPR Discussion Papers 13039, C.E.P.R. Discussion Papers.
    73. Bart van Ark & Klaas de Vries & Abdul Erumban, 2019. "Productivity & Innovation Competencies in the Midst of the Digital Transformation Age: A EU-US Comparison," European Economy - Discussion Papers 119, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    74. Foster-McGregor, Neil & Nomaler, Onder & Verspagen, Bart, 2019. "Measuring the creation and adoption of new technologies using trade and patent data," MERIT Working Papers 2019-053, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
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    2. Zhai, Shaoxuan & Liu, Zhenpeng, 2023. "Artificial intelligence technology innovation and firm productivity: Evidence from China," Finance Research Letters, Elsevier, vol. 58(PB).

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    More about this item

    Keywords

    technological innovation; productivity paradox; productivity growth; artificial intelligence; patents;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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