# Unveiling nonlinear effects of Digital Inclusive Finance on urban-rural integration: A threshold panel analysis of China

**Authors:** Ying Song, Yuanping Cao, Zhiyi Zhuo, Feifei Yang

PMC · DOI: 10.1371/journal.pone.0342432 · PLOS One · 2026-02-20

## TL;DR

This study explores how digital inclusive finance affects urban-rural integration in China, finding that its benefits increase sharply once certain thresholds are crossed.

## Contribution

The paper introduces a novel threshold analysis framework to show how digital inclusive finance's effects on urban-rural integration vary with development levels.

## Key findings

- Digital inclusive finance's impact on urban-rural integration is nonlinear and regime-dependent.
- Usage depth of digital finance consistently promotes integration, while coverage and digitalization benefits emerge in mature regimes.
- Traditional finance shows declining marginal returns beyond its effective range, highlighting the catalytic role of digital systems.

## Abstract

This paper examines the nonlinear effects of Digital Inclusive Finance (DIF) on urban–rural integration (URI) using a provincial panel for mainland China (31 provinces, 2011–2023). We construct a multidimensional URI index and decompose DIF into coverage breadth (D1), usage depth (D2) and digitalization level (D3). Estimation proceeds with two-way fixed-effects models and Hansen-style panel threshold regressions with bootstrap inference; robustness checks include placebo tests and instrumental-variable specifications. The evidence shows that DIF’s impact on URI is regime-dependent: marginal returns are limited at low development levels but increase sharply once DIF and complementary institutional conditions cross empirically identified thresholds. Disaggregation reveals that usage depth (D2) consistently promotes integration, whereas the benefits of coverage (D1) and digitalization (D3) materialize mainly in digitally mature regimes. Traditional finance exhibits declining marginal contribution beyond its effective range, underlining the catalytic role of digital systems. We document heterogeneity across regions and show that negative baseline coefficients on openness and education reflect spatial concentration rather than intrinsic harms. The findings reconcile mixed results in prior work and imply that policy should be threshold-aware: prioritize foundational access where coverage is low, while in advanced contexts emphasize usage, platform interoperability, and regulatory safeguards to manage platform concentration and distributional risks.

## Full-text entities

- **Diseases:** DIF (MESH:D003586), Digital Economy (MESH:C000721267), DE (MESH:D002658), COVID-19 (MESH:D000086382)
- **Chemicals:** EDU (MESH:C022811), DIF (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

39 references — full list in the complete paper: https://tomesphere.com/paper/PMC12923127/full.md

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Source: https://tomesphere.com/paper/PMC12923127