Using Chinese household panel data from 2010–2022 and two-way fixed effects, the study finds that digital inclusive finance is associated with lower multidimensional relative poverty. The proposed channels are household green innovation and green credit. Effects were stronger among households with lower digital skills, yet poverty was reported to worsen in central China, showing that a uniform policy may have uneven consequences.
Key findings
- Digital-finance exposure was negatively associated with multidimensional poverty, with patterns consistent with green-innovation and green-credit channels. The poverty-reduction association was stronger in lower-digital-skill households, but reversed in central China. The abstract does not report coefficients or effect sizes.
Why this matters globally
The study moves debate beyond simple app access toward multidimensional household outcomes and highlights distributional effects rather than national averages alone. For developing economies, data protection, transparent lending and non-digital service channels remain important safeguards.
Thai researcher contribution
Yilin Song of Shinawatra University's Faculty of Education contributes through a China–Malaysia–Thailand research network. Thailand's role is analytical and policy collaboration; the dataset itself is entirely Chinese.
Limitations to consider
Fixed effects address some time-invariant confounding but not reverse causality, time-varying omitted variables or measurement error. Proposed mechanisms are statistical rather than experimental, and Chinese estimates should not be directly transferred to Thailand.