Endogenous growth and data heterogeneity in data economics

IF 6.9 2区经济学 Q1 BUSINESS, FINANCE Finance Research Letters Pub Date : 2025-05-01 Epub Date: 2025-03-12 DOI:10.1016/j.frl.2025.107185

Wenkang Zhang , Jing Wu

引用次数: 0

Abstract

Innovations in the Internet of Things (IoT) and Industrial IoT makes the data generation subject no longer limited to consumers, but more from the product life cycle. By integrating demand-driven consumption data and innovation-driven production data, this paper constructs an endogenous growth model with data heterogeneity. It reveals that the synergy of heterogeneous data accelerates output growth, improves innovation and higher welfare. Production data alleviate inefficiencies in data resource allocation, reduce privacy concerns, and mitigate structural unemployment. Consumption data can cause a multiplier effect on production. The model extends the theoretical boundaries of data economics and provide significant policy implications.

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数据经济学中的内生增长与数据异质性

物联网（IoT）和工业物联网的创新使数据生成主体不再局限于消费者，而是更多地从产品生命周期中产生。通过整合需求驱动的消费数据和创新驱动的生产数据，本文构建了一个具有数据异质性的内生增长模型。它揭示了异质性数据的协同作用能加速产出增长、改善创新和提高福利。生产数据缓解了数据资源分配的低效率，减少了隐私问题，并减轻了结构性失业。消费数据可对生产产生乘数效应。该模型扩展了数据经济学的理论边界，并提供了重要的政策影响。

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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来源期刊

Finance Research Letters BUSINESS, FINANCE-

CiteScore

11.10

自引率

14.40%

发文量

863

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