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Knowledge Accumulation, Privacy, and Growth in a Data Economy

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  • Lin William Cong

    (Cornell University)

  • Danxia Xie

    (Tsinghua University)

  • Longtian Zhang

    (Central University of Finance and Economics)

Abstract

We build an endogenous growth model with consumer-generated data as a new key factor for knowledge accumulation. Consumers balance between providing data for profit and potential privacy infringement. Intermediate good producers use data to innovate and contribute to the final good production, which fuels economic growth. Data are dynamically nonrival with flexible ownership while their production is endogenous and policy-dependent. Although a decentralized economy can grow at the same rate (but are at different levels) as the social optimum on the Balanced Growth Path, the R&D sector underemploys labor and overuses data -- an inefficiency mitigated by subsidizing innovators instead of direct data regulation. As a data economy emerges and matures, consumers' data provision endogenously declines after a transitional acceleration, allaying long-run privacy concerns but portending initial growth traps that call for interventions.

Suggested Citation

  • Lin William Cong & Danxia Xie & Longtian Zhang, 2021. "Knowledge Accumulation, Privacy, and Growth in a Data Economy," Papers 2109.10028, arXiv.org.
  • Handle: RePEc:arx:papers:2109.10028
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    1. Daron Acemoglu & Philippe Aghion & Leonardo Bursztyn & David Hemous, 2012. "The Environment and Directed Technical Change," American Economic Review, American Economic Association, vol. 102(1), pages 131-166, February.
    2. Charles I. Jones & Christopher Tonetti, 2020. "Nonrivalry and the Economics of Data," American Economic Review, American Economic Association, vol. 110(9), pages 2819-2858, September.
    3. Kenneth L. Judd, 1998. "Numerical Methods in Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100711, December.
    4. Howard F. Chang, 1995. "Patent Scope, Antitrust Policy, and Cumulative Innovation," RAND Journal of Economics, The RAND Corporation, vol. 26(1), pages 34-57, Spring.
    5. Brent Neiman, 2014. "The Global Decline of the Labor Share," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 129(1), pages 61-103.
    6. Shota Ichihashi, 2020. "Non-competing Data Intermediaries," Staff Working Papers 20-28, Bank of Canada.
    7. Maryam Farboodi & Laura Veldkamp, 2020. "Long-Run Growth of Financial Data Technology," American Economic Review, American Economic Association, vol. 110(8), pages 2485-2523, August.
    8. 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.
    9. William Brock & M. Taylor, 2010. "The Green Solow model," Journal of Economic Growth, Springer, vol. 15(2), pages 127-153, June.
    10. Ramon Casadesus-Masanell & Andres Hervas-Drane, 2015. "Competing with Privacy," Management Science, INFORMS, vol. 61(1), pages 229-246, January.
    11. M. Tolga Akçura & Kannan Srinivasan, 2005. "Research Note: Customer Intimacy and Cross-Selling Strategy," Management Science, INFORMS, vol. 51(6), pages 1007-1012, June.
    12. Simcha Barkai, 2020. "Declining Labor and Capital Shares," Journal of Finance, American Finance Association, vol. 75(5), pages 2421-2463, October.
    13. Stokey, Nancy L, 1998. "Are There Limits to Growth?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(1), pages 1-31, February.
    14. Veldkamp, Laura L., 2005. "Slow boom, sudden crash," Journal of Economic Theory, Elsevier, vol. 124(2), pages 230-257, October.
    15. Imanol Arrieta-Ibarra & Leonard Goff & Diego Jiménez-Hernández & Jaron Lanier & E. Glen Weyl, 2018. "Should We Treat Data as Labor? Moving beyond "Free"," AEA Papers and Proceedings, American Economic Association, vol. 108, pages 38-42, May.
    16. Shota Ichihashi, 2020. "Online Privacy and Information Disclosure by Consumers," American Economic Review, American Economic Association, vol. 110(2), pages 569-595, February.
    17. Charles I. Jones, 2016. "Life and Growth," Journal of Political Economy, University of Chicago Press, vol. 124(2), pages 539-578.
    18. Hirshleifer, Jack, 1971. "The Private and Social Value of Information and the Reward to Inventive Activity," American Economic Review, American Economic Association, vol. 61(4), pages 561-574, September.
    19. Laura Veldkamp, 2019. "Data and the Aggregate Economy," Annual Meeting Plenary 2019-1, Society for Economic Dynamics.
    20. Coen, Robert M, 1969. "Tax Policy and Investment Behavior: Comment," American Economic Review, American Economic Association, vol. 59(3), pages 370-379, June.
    21. Winston Wei Dou & Yan Ji & David Reibstein & Wei Wu, 2021. "Inalienable Customer Capital, Corporate Liquidity, and Stock Returns," Journal of Finance, American Finance Association, vol. 76(1), pages 211-265, February.
    22. Zhuang Liu & Michael Sockin & Wei Xiong, 2020. "Data Privacy and Temptation," NBER Working Papers 27653, National Bureau of Economic Research, Inc.
    23. Admati, Anat R & Pfleiderer, Paul, 1990. "Direct and Indirect Sale of Information," Econometrica, Econometric Society, vol. 58(4), pages 901-928, July.
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    Cited by:

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    3. Francesco Angelini & Luca V. Ballestra & Massimiliano Castellani, 2022. "Digital leisure and the gig economy: a two-sector model of growth," Papers 2212.02119, arXiv.org.
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    5. Zhuo, Chengfeng & Chen, Jin, 2023. "Can digital transformation overcome the enterprise innovation dilemma: Effect, mechanism and effective boundary," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    6. Cong, Lin William & Wei, Wenshi & Xie, Danxia & Zhang, Longtian, 2022. "Endogenous growth under multiple uses of data," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).
    7. Li, Quan & Chen, Huimin & Chen, Yang & Xiao, Tong & Wang, Li, 2023. "Digital economy, financing constraints, and corporate innovation," Pacific-Basin Finance Journal, Elsevier, vol. 80(C).
    8. Freeman, Richard B. & Yang, Buyuan & Zhang, Baitao, 2023. "Data deepening and nonbalanced economic growth," Journal of Macroeconomics, Elsevier, vol. 75(C).
    9. Itay P. Fainmesser & Andrea Galeotti & Ruslan Momot, 2023. "Digital Privacy," Management Science, INFORMS, vol. 69(6), pages 3157-3173, June.
    10. Zhao, Haoran & Guo, Sen, 2023. "Analysis of the non-linear impact of digital economy development on energy intensity: Empirical research based on the PSTR model," Energy, Elsevier, vol. 282(C).
    11. Ichihashi, Shota, 2022. "Comments on Cong, Wei, Xie, and Zhang (2021) “Endogenous Growth with Multiple Uses of Data”," Journal of Economic Dynamics and Control, Elsevier, vol. 141(C).

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