Evidence map›Paper›PMID 41957084›Full record

ArticleScientific reports2026

Digital financial inclusion and household consumption structure upgrading.

Shuaibang Fan, Lina Zhang, Qi Wang, Yan Kong, Haifang Yang

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Shuaibang FanDongbei University of Finance and Economics, Dalian, China.
Lina ZhangDongbei University of Finance and Economics, Dalian, China.
Qi WangDongbei University of Finance and Economics, Dalian, China.
Yan KongDongbei University of Finance and Economics, Dalian, China.
Haifang YangDongbei University of Finance and Economics, Dalian, China. drhfyang@126.com.

Funding

Key Project of Liaoning Provincial Social Science Foundation L24AGL010National Social Science Fund of China 24BTJ038
6 · The paper itself

Abstract

Driven by the rapid advancement of digital technology, Digital Inclusive Finance (DIF) has emerged as a transformative force in the financial sector, reshaping consumption patterns and facilitating the upgrading of residents’ consumption structures. Utilizing panel data from 31 Chinese provinces spanning 2011 to 2022, this paper empirically investigates the impact of DIF on consumption structural shifts. The study explores the underlying mechanisms of this influence, focusing on income enhancement and service accessibility, while further evaluating the moderating role of digital infrastructure. Key findings reveal that DIF significantly fosters consumption structure upgrading by raising residents’ income levels and mitigating income inequality. This positive effect is more pronounced in regions with superior digital infrastructure, as well as among urban populations and residents in China’s eastern region. Based on these results, the paper suggests policy interventions centered on targeted infrastructure investment, income-boosting strategies, and region-specific development approaches. Furthermore, the findings highlight the need for enhanced regulatory frameworks to balance financial stability with inclusive growth. Ultimately, this research contributes to the theoretical convergence of digital finance and consumption economics while providing practical guidance for leveraging DIF to support high-quality economic development.

Identifiers

PMID41957084
PMCPMC13128920

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.