Knowledge Accumulation, Privacy, and Growth in a Data Economy

Lin Cong, Danxia Xie and Longtian Zhang ()
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Longtian Zhang: Institute of Economics, Tsinghua University, Beijing 100084, China

Management Science, 2021, vol. 67, issue 10, 6480-6492

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.

Keywords: big data; data ownership; endogenous growth; innovation; nonrivalry; privacy regulation (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (16)

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http://dx.doi.org/10.1287/mnsc.2021.3986 (application/pdf)

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Working Paper: Knowledge Accumulation, Privacy, and Growth in a Data Economy (2021)
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Persistent link: https://EconPapers.repec.org/RePEc:inm:ormnsc:v:67:y:2021:i:10:p:6480-6492

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