金融科技、技术创新与区域经济增长：理论模型与实证证据

IF 5.2 1区经济学 Q1 ECONOMICS

中国经济评论 Pub Date : 2025-03-24 DOI:10.1016/j.chieco.2025.102397

Xirong Huang , Jichang Dong , Xiuting Li

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引用次数: 0

摘要

本研究旨在探讨金融科技在激励创新和促进区域经济增长中的作用。在创造性破坏框架下，引入金融科技，内部化技术进步和人力资本积累，构建多部门内生增长模型（MEGM）。基于该模型，本文从理论上分析了金融科技对创新和区域经济增长的影响，并利用2012 - 2020年中国246个地级市的面板数据进行了实证检验。此外，我们将这些发现置于中国金融科技发展格局、技术创新趋势和区域经济增长模式的背景下。结果表明，金融科技对区域创新具有显著的激励作用，有效地促进了经济增长。基于城市禀赋的异质性分析表明，金融科技的影响在金融发达城市、数字禀赋高的城市以及一二线城市更为明显。本文的分析阐明了金融科技如何促进中国技术驱动的区域经济增长，为通过金融科技促进创新驱动发展提供了有价值的见解。

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Fintech, technological innovation and regional economic growth: Theoretical modeling and empirical evidence

This study aims to investigate the role of fintech in stimulating innovation and promoting regional economic growth. A Multi-Sector Endogenous Growth Model (MEGM) is constructed by incorporating fintech while internalizing technological progress and human capital accumulation within the framework of creative destruction. Based on this model, we theoretically analyze how fintech influences innovation and regional economic growth, followed by empirical testing using panel data from 246 prefecture-level cities in China during the period from 2012 to 2020. Furthermore, we contextualize these findings within China's fintech development landscape, trends in technological innovation, and patterns of regional economic growth. The results demonstrate that fintech exerts a significant incentive effect on regional innovation and effectively promotes economic growth. Heterogeneity analysis based on cities' endowments reveals that the impact of fintech is more pronounced in financially developed cities, those with high digital endowments, as well as in first- and second-tier cities. The analyses presented herein elucidate how fintech facilitates technology-driven regional economic growth in China, providing valuable insights for fostering innovation-driven development through fintech.

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来源期刊

中国经济评论 ECONOMICS-

CiteScore

10.60

自引率

4.40%

发文量

380

期刊介绍： The China Economic Review publishes original works of scholarship which add to the knowledge of the economy of China and to economies as a discipline. We seek, in particular, papers dealing with policy, performance and institutional change. Empirical papers normally use a formal model, a data set, and standard statistical techniques. Submissions are subjected to double-blind peer review.