Evidence map›Paper›PMID 41857079›Full record

ArticleScientific reports2026

Complementary and substitution effects of digital finance and green finance on corporate green innovation.

Sijin Tan, Shigui Tao

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

2 authors.

Sijin TanSchool of Business, Nanjing Normal University, Nanjing, 210023, China. 200501006@njnu.edu.cn.
Shigui TaoSchool of Business, Nanjing Normal University, Nanjing, 210023, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Against the backdrop of the "dual-carbon" goals, traditional financial models are unable to meet the urgent demands of green economic development. The coordinated development of digital finance and green finance has become a critical issue of the times. Existing research has focused more on the independent impacts of digital finance and green finance, while paying insufficient attention to their interactive effects and underlying mechanisms. Therefore, this study examines the green innovation incentive effects of digital finance and green finance, as well as their interactive relationship and underlying mechanisms, by constructing a two-way fixed effects model and applying Logit and Poisson nonlinear models. The analysis is based on data from Chinese A-share listed companies from 2011 to 2023. Research indicates that digital finance and green finance exhibit a stronger substitution effect than a complementary effect in incentivizing strategic green innovation. After testing the nonlinear model, the aforementioned conclusions remain valid. The substitution effect between digital finance and green finance is primarily concentrated in non-high-tech industries, heavily polluting industries, non-state-owned enterprises, and lower-tier cities. When corporate financing constraints are weaker, the substitution effect between digital finance and green finance becomes more pronounced. The stronger a company's technological absorption capacity, the weaker the substitution effect between digital finance and green finance becomes. The conclusion provides empirical evidence and decision-making support for leveraging diverse financial models to promote green development and sustainable growth.

Indexed as

Corporate green innovationDigital financeFinancing constraintsGreen financeTechnology absorption capacity

Identifiers

PMID41857079
PMCPMC13003134

What OpenQuestion holds

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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.