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Widening or closing the gap? The relationship between artificial intelligence, firm-level productivity and regional clusters

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  • Nils Grashof
  • Alexander Kopka
Abstract
Artificial intelligence (AI) is seen as a key technology for economic growth. However, the impact of AI on firm productivity has been under researched – particularly through the lens of inequality and clusters. Based on a unique sample of German firms, filling at least one patent between 2013 and 2019, we find evidence for a positive influence of AI on firm productivity. Moreover, our analysis shows that while AI knowledge does not contribute to productivity divergences in general, it increases the productivity gap between laggard and all other firms. Nevertheless, this effect is reduced through the localisation in clusters.

Suggested Citation

  • Nils Grashof & Alexander Kopka, 2023. "Widening or closing the gap? The relationship between artificial intelligence, firm-level productivity and regional clusters," Bremen Papers on Economics & Innovation 2304, University of Bremen, Faculty of Business Studies and Economics.
    • Handle: RePEc:atv:wpaper:2304
    DOI: https://doi.org/10.26092/elib/2663
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    as
    1. 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.
    2. Bresnahan, Timothy F. & Trajtenberg, M., 1995. "General purpose technologies 'Engines of growth'?," Journal of Econometrics, Elsevier, vol. 65(1), pages 83-108, January.
    3. Cette, Gilbert & Corde, Simon & Lecat, Rémy, 2018. "Firm-level productivity dispersion and convergence," Economics Letters, Elsevier, vol. 166(C), pages 76-78.
    4. 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.
    5. Scott L. Newbert, 2007. "Empirical research on the resource‐based view of the firm: an assessment and suggestions for future research," Strategic Management Journal, Wiley Blackwell, vol. 28(2), pages 121-146, February.
    6. Rammer, Christian & Fernández, Gastón P. & Czarnitzki, Dirk, 2022. "Artificial intelligence and industrial innovation: Evidence from German firm-level data," Research Policy, Elsevier, vol. 51(7).
    7. McCann, Brian T. & Folta, Timothy B., 2011. "Performance differentials within geographic clusters," Journal of Business Venturing, Elsevier, vol. 26(1), pages 104-123, January.
    8. Cristiano Andrea Ristuccia & Solomos Solomou, "undated". "Can general purpose technology theory explain economic growth? Electrical power as a case study," Working Papers 18, Department of Economic and Social History at the University of Cambridge.
    9. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    10. Markus Grillitsch & Magnus Nilsson, 2019. "Knowledge externalities and firm heterogeneity: Effects on high and low growth firms," Papers in Regional Science, Wiley Blackwell, vol. 98(1), pages 93-114, February.
    11. Ajay Agrawal & Joshua Gans & Avi Goldfarb, 2019. "Economic Policy for Artificial Intelligence," Innovation Policy and the Economy, University of Chicago Press, vol. 19(1), pages 139-159.
    12. Brian Mccann & Timothy Folta, 2011. "Performance differentials within geographic clusters," Post-Print hal-02312592, HAL.
    13. Max-Peter Menzel & Dirk Fornahl, 2010. "Cluster life cycles--dimensions and rationales of cluster evolution," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 19(1), pages 205-238, February.
    14. Luciana Lazzeretti & Silvia Rita Sedita & Annalisa Caloffi, 2014. "Founders and disseminators of cluster research," Journal of Economic Geography, Oxford University Press, vol. 14(1), pages 21-43, January.
    15. Matt Taddy, 2018. "The Technological Elements of Artificial Intelligence," NBER Working Papers 24301, National Bureau of Economic Research, Inc.
    16. 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.
    17. 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.
    18. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    19. Bernardo S Buarque & Ronald B Davies & Ryan M Hynes & Dieter F Kogler, 2020. "OK Computer: the creation and integration of AI in Europe," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 13(1), pages 175-192.
    20. Lee, Chang-Yang, 2018. "Geographical clustering and firm growth: Differential growth performance among clustered firms," Research Policy, Elsevier, vol. 47(6), pages 1173-1184.
    21. Yang, Chih-Hai, 2022. "How Artificial Intelligence Technology Affects Productivity and Employment: Firm-level Evidence from Taiwan," Research Policy, Elsevier, vol. 51(6).
    22. Bahar, Dany, 2018. "The middle productivity trap: Dynamics of productivity dispersion," Economics Letters, Elsevier, vol. 167(C), pages 60-66.
    23. Kopka, Alexander & Grashof, Nils, 2022. "Artificial intelligence: Catalyst or barrier on the path to sustainability?," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    24. Gautam Ahuja & Curba Morris Lampert, 2001. "Entrepreneurship in the large corporation: a longitudinal study of how established firms create breakthrough inventions," Strategic Management Journal, Wiley Blackwell, vol. 22(6‐7), pages 521-543, June.
    25. Diego Comin & Martí Mestieri, 2018. "If Technology Has Arrived Everywhere, Why Has Income Diverged?," American Economic Journal: Macroeconomics, American Economic Association, vol. 10(3), pages 137-178, July.
    26. 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.
    27. Jing Xiao & Ron Boschma, 2023. "The emergence of artificial intelligence in European regions: the role of a local ICT base," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 71(3), pages 747-773, December.
    28. Ron Boschma & Rikard H. Eriksson & Urban Lindgren, 2014. "Labour Market Externalities and Regional Growth in Sweden: The Importance of Labour Mobility between Skill-Related Industries," Regional Studies, Taylor & Francis Journals, vol. 48(10), pages 1669-1690, October.
    29. Thomas Brenner, 2017. "Identification of Clusters - An Actor based Approach," Working Papers on Innovation and Space 2017-02, Philipps University Marburg, Department of Geography.
    30. Martin Obschonka & David B. Audretsch, 2020. "Artificial intelligence and big data in entrepreneurship: a new era has begun," Small Business Economics, Springer, vol. 55(3), pages 529-539, October.
    31. 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.
    32. Philippe Aghion & Benjamin F. Jones & Charles I. Jones, 2018. "Artificial Intelligence and Economic Growth," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 237-282, National Bureau of Economic Research, Inc.
    33. 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.
    34. Dan Andrews & Chiara Criscuolo & Peter N. Gal, 2015. "Frontier Firms, Technology Diffusion and Public Policy: Micro Evidence from OECD Countries," OECD Productivity Working Papers 2, OECD Publishing.
    35. Baptista, Rui & Swann, Peter, 1998. "Do firms in clusters innovate more?," Research Policy, Elsevier, vol. 27(5), pages 525-540, September.
    36. Artur Santoalha, 2019. "Technological diversification and Smart Specialisation: the role of cooperation," Regional Studies, Taylor & Francis Journals, vol. 53(9), pages 1269-1283, September.
    37. Jakob Edler & Abdullah Gök & Paul Cunningham & Philip Shapira, 2016. "Introduction: Making sense of innovation policy," Chapters, in: Jakob Edler & Paul Cunningham & Abdullah Gök & Philip Shapira (ed.), Handbook of Innovation Policy Impact, chapter 1, pages 1-17, Edward Elgar Publishing.
    38. Rikard Eriksson & Urban Lindgren, 2009. "Localized mobility clusters: impacts of labour market externalities on firm performance," Journal of Economic Geography, Oxford University Press, vol. 9(1), pages 33-53, January.
    39. Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(3), pages 577-598.
    40. Artur Santoalha, 2019. "Technological Diversification and Smart Specialization: the role of cooperation," Working Papers on Innovation Studies 20190109, Centre for Technology, Innovation and Culture, University of Oslo.
    41. J Knoben & AT Arikan & F van Oort & O Raspe, 2016. "Agglomeration and firm performance: One firm’s medicine is another firm’s poison," Environment and Planning A, , vol. 48(1), pages 132-153, January.
    42. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    43. Nils Grashof & Alexander Kopka, 2023. "Artificial intelligence and radical innovation: an opportunity for all companies?," Small Business Economics, Springer, vol. 61(2), pages 771-797, August.
    44. Ron Martin & Peter Sunley, 2003. "Deconstructing clusters: chaotic concept or policy panacea?," Journal of Economic Geography, Oxford University Press, vol. 3(1), pages 5-35, January.
    45. Richard L. Daft & Robert H. Lengel, 1986. "Organizational Information Requirements, Media Richness and Structural Design," Management Science, INFORMS, vol. 32(5), pages 554-571, May.
    46. Jose-Luis Hervas-Oliver & Francisca Sempere-Ripoll & Ronald Rojas Alvarado & Sofia Estelles-Miguel, 2018. "Agglomerations and firm performance: who benefits and how much?," Regional Studies, Taylor & Francis Journals, vol. 52(3), pages 338-349, March.
    47. Matt Taddy, 2018. "The Technological Elements of Artificial Intelligence," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 61-87, National Bureau of Economic Research, Inc.
    48. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    49. Tobias Scholl & Thomas Brenner, 2016. "Detecting Spatial Clustering Using a Firm-Level Cluster Index," Regional Studies, Taylor & Francis Journals, vol. 50(6), pages 1054-1068, June.
    50. Valeria Cirillo & Lucrezia Fanti & Andrea Mina & Andrea Ricci, 2021. "Digitalizing Firms: Skills, Work Organization and the Adoption of New Enabling Technologies," LEM Papers Series 2021/04, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    51. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
    52. Jan Youtie & Maurizio Iacopetta & Stuart Graham, 2008. "Assessing the nature of nanotechnology: can we uncover an emerging general purpose technology?," The Journal of Technology Transfer, Springer, vol. 33(3), pages 315-329, June.
    53. Arthur, W. Brian, 2007. "The structure of invention," Research Policy, Elsevier, vol. 36(2), pages 274-287, March.
    54. Daniel Hoechle, 2007. "Robust standard errors for panel regressions with cross-sectional dependence," Stata Journal, StataCorp LP, vol. 7(3), pages 281-312, September.
    55. 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, September.
    56. Lee Fleming, 2001. "Recombinant Uncertainty in Technological Search," Management Science, INFORMS, vol. 47(1), pages 117-132, January.
    57. Elena Huergo & Jordi Jaumandreu, 2004. "How Does Probability of Innovation Change with Firm Age?," Small Business Economics, Springer, vol. 22(3_4), pages 193-207, April.
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    More about this item

    Keywords

    Artificial intelligence; Inequality; Productivity; Clusters; Patents; Firm-level;
    All these keywords.

    JEL classification:

    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

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