Evidence map›Paper›PMID 39104497›Full record

ArticleHeliyon2024

The impact of digital finance on technological innovation across enterprise life cycles in China.

Yanhong Mou

Abstract read
In one paragraph

Article in Heliyon, 2024. 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

1 author.

Yanhong MouChongqing City Management College, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to fill a gap in our knowledge by analyzing how digital financing has affected technological innovation in China's firms across different growth phases. This article investigates the relationship between technological innovation efficiency and digital finance in China's A-share listed corporations between 2012 and 2022 using basic logistic modelling. Its main goal is to comprehend how digital finance affects these businesses' technological innovation efficiency from various angles. The study concludes that digital finance significantly improves the efficiency of technological innovation; more importantly, the Digital Finance Adoption Rate (DFAR) has a more significant influence than the Digital Finance Level (DFL). According to the Digital Transformation Maturity (DTM) scale, digital finance helps businesses transform digitally, increasing the effectiveness of technological innovation. State-owned businesses are more affected by the influence of digital finance on innovation efficiency than non-state-owned businesses. Other factors, including enterprise lifecycle, innovation investment, digital leadership, revenue strategies, and market rivalry, also shape the relationship between digital finance and technical innovation efficiency. To increase innovation efficiency, particularly in state-owned businesses, the study suggests expanding access to and adoption of digital finance. It also means leveraging elements such as enterprise lifecycle, innovation investment, digital leadership, revenue strategies, and market competition to spur more technological innovation. The impact of digital finance on technological innovation at different phases of organizational growth in China highlights the need for customized methods to harness its potential.

Indexed as

Digital financeDigital transformationEnterprise life cyclesInnovation efficiencyTechnological innovation efficiency

Identifiers

PMID39104497
PMCPMC11298816

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.