Knowledge Accumulation, Privacy, and Growth in a Data Economy

L. Cong, Danxia Xie, Longtian Zhang
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引用次数: 41

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. This paper was accepted by Kay Giesecke, finance.
数据经济中的知识积累、隐私和增长
我们将消费者生成的数据作为知识积累的一个新的关键因素,构建了一个内生增长模型。消费者在为利润提供数据和潜在的隐私侵犯之间取得平衡。中间产品生产者利用数据进行创新,并为最终产品做出贡献,从而推动经济增长。数据具有灵活的所有权,是动态的非竞争性的,而它们的产生是内生的和依赖于策略的。尽管去中心化经济可以与平衡增长路径上的社会最优经济以相同的速度(但水平不同)增长,但研发部门雇佣劳动力不足,过度使用数据——通过补贴创新者而不是直接的数据监管,这种低效率得到了缓解。随着数据经济的出现和成熟,消费者的数据供应在过渡期加速后会内生下降,这缓解了长期的隐私担忧,但预示着需要干预的初始增长陷阱。这篇论文被财经的Kay Giesecke接受。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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