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How does artificial intelligence affect productivity and agglomeration? Evidence from China's listed enterprise data

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  • Xie, Xiaoyu
  • Yan, Jun

Abstract

In the digital economy era, artificial intelligence (AI) has advanced significantly and promoted productivity and productive service agglomeration. Using data on the productive service industry and AI in 27 provinces in China from 2006 to 2019, we investigated the influence of AI on productive services, and its direction and magnitude. We found that AI can promote the agglomeration of productive services directly or by enhancing productivity, and further analyzed the regional heterogeneity of the influence and mechanism.

Suggested Citation

  • Xie, Xiaoyu & Yan, Jun, 2024. "How does artificial intelligence affect productivity and agglomeration? Evidence from China's listed enterprise data," International Review of Economics & Finance, Elsevier, vol. 94(C).
  • Handle: RePEc:eee:reveco:v:94:y:2024:i:c:s1059056024004003
    DOI: 10.1016/j.iref.2024.103408
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    as
    1. Bernard Hoekman & Ben Shepherd, 2017. "Services Productivity, Trade Policy and Manufacturing Exports," The World Economy, Wiley Blackwell, vol. 40(3), pages 499-516, March.
    2. Zhou, Linjiang & Shi, Xiaochuan & Bao, Yaxiong & Gao, Lihua & Ma, Chao, 2023. "Explainable artificial intelligence for digital finance and consumption upgrading," Finance Research Letters, Elsevier, vol. 58(PC).
    3. Yali Cao & Yue Shao & Hongxia Zhang, 2022. "Study on early warning of E-commerce enterprise financial risk based on deep learning algorithm," Electronic Commerce Research, Springer, vol. 22(1), pages 21-36, March.
    4. 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.
    5. Timothy F. Bresnahan & Erik Brynjolfsson & Lorin M. Hitt, 2002. "Information Technology, Workplace Organization, and the Demand for Skilled Labor: Firm-Level Evidence," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(1), pages 339-376.
    6. Duranton, Gilles & Puga, Diego, 2004. "Micro-foundations of urban agglomeration economies," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 48, pages 2063-2117, Elsevier.
    7. Zhai, Shaoxuan & Liu, Zhenpeng, 2023. "Artificial intelligence technology innovation and firm productivity: Evidence from China," Finance Research Letters, Elsevier, vol. 58(PB).
    8. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation, and Work," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 197-236, National Bureau of Economic Research, Inc.
    9. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    10. Edward L. Glaeser, 2010. "Introduction to "Agglomeration Economics"," NBER Chapters, in: Agglomeration Economics, pages 1-14, National Bureau of Economic Research, Inc.
    11. Edward L. Glaeser, 2010. "Agglomeration Economics," NBER Books, National Bureau of Economic Research, Inc, number glae08-1, June.
    12. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    13. Hansen, Lars Peter & Heaton, John & Luttmer, Erzo G J, 1995. "Econometric Evaluation of Asset Pricing Models," The Review of Financial Studies, Society for Financial Studies, vol. 8(2), pages 237-274.
    14. Daron Acemoglu & Pascual Restrepo, 2018. "Artificial Intelligence, Automation and Work," Boston University - Department of Economics - Working Papers Series dp-298, Boston University - Department of Economics.
    15. Ellison, Glenn & Glaeser, Edward L, 1997. "Geographic Concentration in U.S. Manufacturing Industries: A Dartboard Approach," Journal of Political Economy, University of Chicago Press, vol. 105(5), pages 889-927, October.
    16. Daron Acemoglu & Pascual Restrepo, 2020. "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy, University of Chicago Press, vol. 128(6), pages 2188-2244.
    17. Zhang, Dongyang & Zhao, Mengjiao & Wang, Yizhi & Vigne, Samuel A. & Benkraiem, Ramzi, 2024. "Technological innovation and its influence on energy risk management: Unpacking China’s energy consumption structure optimisation amidst climate change," Energy Economics, Elsevier, vol. 131(C).
    18. Rosenthal, Stuart S. & Strange, William C., 2004. "Evidence on the nature and sources of agglomeration economies," Handbook of Regional and Urban Economics, in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 49, pages 2119-2171, Elsevier.
    19. Julius Tan Gonzales, 2023. "Implications of AI innovation on economic growth: a panel data study," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 12(1), pages 1-37, December.
    20. Marian Rizov & Xufei Zhang, 2014. "Regional disparities and productivity in China: Evidence from manufacturing micro data," Papers in Regional Science, Wiley Blackwell, vol. 93(2), pages 321-339, June.
    21. Zhang, Dongyang & Bai, Dingchuan & Wang, Cao & He, Yurun, 2024. "Distribution dynamics and quantile dynamic convergence of the digital economy: Prefecture-level evidence in China," International Review of Financial Analysis, Elsevier, vol. 95(PA).
    22. Joseph Francois & Julia Woerz, 2008. "Producer Services, Manufacturing Linkages, and Trade," Journal of Industry, Competition and Trade, Springer, vol. 8(3), pages 199-229, December.
    23. Yang, Chih-Hai, 2022. "How Artificial Intelligence Technology Affects Productivity and Employment: Firm-level Evidence from Taiwan," Research Policy, Elsevier, vol. 51(6).
    24. Xie, Xiaoyu & Guo, Kaige, 2024. "How does productive service agglomeration promote manufacturing servitisation from an innovation perspective?," International Review of Financial Analysis, Elsevier, vol. 92(C).
    25. Erik Brynjolfsson & Daniel Rock & Chad Syverson, 2018. "Artificial Intelligence and the Modern Productivity Paradox: A Clash of Expectations and Statistics," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 23-57, National Bureau of Economic Research, Inc.
    26. E. Wesley F. Peterson, 2017. "The Role of Population in Economic Growth," SAGE Open, , vol. 7(4), pages 21582440177, October.
    27. Zhang, Dongyang, 2024. "The pathway to curb greenwashing in sustainable growth: The role of artificial intelligence," Energy Economics, Elsevier, vol. 133(C).
    28. Ricardo Hausmann & César Hidalgo, 2011. "The network structure of economic output," Journal of Economic Growth, Springer, vol. 16(4), pages 309-342, December.
    29. Xiaolan Fu & Giacomo Zanello & Carmen Contreras & Xuechen Ding, 2024. "Innovation under constraints: the role of open innovation in Ghana," Industry and Innovation, Taylor & Francis Journals, vol. 31(4), pages 444-474, April.
    30. Li, Xin & Zhou, Xiaoxue & Yan, Ke, 2022. "Technological progress for sustainable development: An empirical analysis from China," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 146-155.
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