Evidence map›Paper›PMID 41071805›Full record

ArticlePloS one2025

Research on multiple improvement paths of national innovation output based on tsQCA.

Zhenxing Gong, Xiangge Wang, Miaomiao Li

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Zhenxing GongBusiness School of Liaocheng University, Liaocheng, China.ORCID https://orcid.org/0000-0002-2781-7577
Xiangge WangBusiness School of Liaocheng University, Liaocheng, China.ORCID https://orcid.org/0009-0001-1920-3444
Miaomiao LiBusiness School, Beijing Information Science and Technology University, Beijing, China.ORCID https://orcid.org/0000-0002-0302-6260

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Based on the panel data of 118 countries from 2013 to 2024, this paper uses the tsQCA method to explore the synergistic effect of various factors of innovation input on innovation output capacity, and reveals multiple paths to improve national innovation output. The results show that there are four ways to improve the output of high innovation, which can be summarized into two models: "Institution + Human Capital and Research + Business Maturity" and "Infrastructure + Market Maturity + Business Maturity", among which business maturity is an indispensable core factor for countries to improve their innovation output capacity. In the time dimension, the consistency level of the four high-innovation output configuration pathways in 2019-2020 was low. In the spatial dimension, there are obvious regional differences in innovation output among countries. Among them, there is a considerable gap in innovation output capacity in Africa compared with other regions; Influenced by the process of economic transformation and the pace of institutional improvement, the level of innovation output in Eastern Europe lies between that of Europe and America on one hand and Central and South Asia on the other; Central and South Asia has formed a gradient gap with Europe and America as a whole due to insufficient infrastructure and limited market maturity.

Indexed as

InventionsResearchHumans

Identifiers

PMID41071805
PMCPMC12513634

What OpenQuestion holds

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LicenceCC BY
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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.