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. • Explore the role of fintech in technological innovation and regional economic growth through theoretical model and empirical tests. • Construct a Multi-Sector Endogenous Growth Model (MEGM) incorporating fintech and dual endogeneity. • Fintech promotes regional economic growth by fostering regional R&D investment. • The effect is significant in financially developed cities, digital endowed cities, first- and second-tier cities.
Authors
- Xiuting Li (ORCID: https://orcid.org/0000-0002-3407-2999)
- Jichang Dong
- Xirong Huang
Institutions
- Chinese Academy of Sciences (CN)
- Beijing Institute of Big Data Research (CN)
- Institute of Economic Forecasting (RU)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- China Economic Review
- Published
- 2025-03-25
- DOI
- https://doi.org/10.1016/j.chieco.2025.102397
- Citations
- 15
- Primary Topic
- FinTech, Crowdfunding, Digital Finance
- Type
- article
- Field-Weighted Citation Impact
- 34.26
Funders
- Ministry of Education - Singapore
- National Natural Science Foundation of China
- University of Chinese Academy of Sciences