Investor Shelf

The Impact of Financial Technology on Consumer Finance: Mechanisms and Empirical Evidence from China (Academic journal of management and social sciences)

Research paperAcademic journal of management and social sciencesAugust 20269 pages14 min readYiran TengOriginal source
Key number
4.957~6.105 units
FinTech baseline effect on consumer finance p.5
What changed
4.127
FinTech coefficient excluding 2020-2022 pandemic period p.6
Largest segment
5.014
Eastern region FinTech coefficient p.7

Summary

  • The study evaluates panel data from 31 provincial regions in China from 2011 to 2023, comprising a sample of 403 province-year observations.p.3
  • The self-constructed provincial FinTech index averages 0.182 across the sample, with a minimum of 0.002 and a maximum of 0.810.p.4
  • Outstanding personal consumption loans average 0.934 across provinces, ranging from a minimum of 0.004 to a maximum of 7.715.p.4
  • Baseline regressions show that a 1 unit increase in FinTech development expands consumer finance by 4.957~6.105 units.p.5
  • Instrumental variable estimation using a one-period lagged FinTech index confirms a positive effect with a coefficient of 7.052.p.5
  • Regional heterogeneity analysis shows the strongest FinTech impact in eastern China with a coefficient of 5.014, compared to 3.346 in central and 2.930 in western regions.p.7
  • Grouping by financial development shows the largest marginal effect in regions with lower financial development, where the FinTech coefficient is 5.831.p.7

Key insights

  1. FinTech significantly promotes the expansion of consumer finance across Chinese provinces.p.1
  2. The regional FinTech index is constructed using Baidu Search Index data across 25 keyword terms spanning four core dimensions.p.3
  3. Each 1 unit increase in FinTech development corresponds to an increase of 4.957~6.105 units in consumer finance.p.5
  4. A two-stage least squares model addressing reverse causality yields a second-stage FinTech coefficient of 7.052.p.5
  5. Excluding the 2020-2022 pandemic period confirms result stability, yielding a FinTech coefficient of 4.127.p.6
  6. FinTech drives consumer finance partly by increasing residents' disposable income, with a statistically significant coefficient of 0.399.p.6
  7. The positive effect of FinTech on consumer finance is largest in eastern China with an estimated coefficient of 5.014.p.7
  8. FinTech plays a stronger promotional role in regions with lower financial development, registering a coefficient of 5.831 compared to 2.082 in high-development areas.p.7

Topics and entities

Summary and figures generated from the document and checked automatically: every number shown appears on the cited page. The full document is available from the publisher. Publishers can request removal.