数据经济中的知识积累、隐私和增长
Knowledge Accumulation, Privacy, and Growth in a Data Economy
摘要：
我们建立了一个内生增长模型，消费者产生的数据作为知识积累的一个新的关键因素。消费者在提供数据获利和潜在的隐私侵权之间寻求平衡。中间产品生产商利用数据进行创新，并为最终产品生产做出贡献，从而推动经济增长。数据是动态非竞争的，具有灵活的所有权，而它们的生产是内生的，依赖于政策。尽管分散的经济可以以与平衡增长路径上的社会最优水平相同的速度增长（但处于不同水平），但研发部门对劳动力的利用不足并过度使用数据-通过补贴创新者而不是直接的数据监管来缓解低效率。随着数据经济的出现和成熟，消费者的数据提供在过渡加速后内生地下降，缓解了长期的隐私问题，但预示着需要干预的初始增长陷阱。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
