Knowledge Accumulation, Privacy, and Growth in a Data Economy

• 成果类型: Article
• 署名作者: Cong, Lin William; Xie, Danxia; Zhang, Longtian
• 署名单位: Cornell University; Tsinghua University; Central University of Finance & Economics
• 刊物名称: MANAGEMENT SCIENCE
• ISSN/ISSBN: 0025-1909
• DOI: 10.1287/mnsc.2021.3986
• 发表日期: 2021
• 页码: 6480-6492
• 关键词: big data; data ownership; endogenous growth; INNOVATION; nonrivalry; privacy regulation

摘要

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.