Evidence map›Paper›PMID 40749034›Full record

ArticlePloS one2025

Research on high-quality development path of strategic emerging enterprises enabled by innovation.

Lin Li, Wenjing Che, Qiangqiang Yao, Yujie Cui

Abstract 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. 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

4 authors.

Lin LiCollege of Economic and Management, Heilongjiang Bayi Agricultural University, Daqing, China.ORCID https://orcid.org/0000-0002-6292-0473
Wenjing CheCollege of Economic and Management, Heilongjiang Bayi Agricultural University, Daqing, China.ORCID https://orcid.org/0009-0008-2727-0912
Qiangqiang YaoDongbei University of Finance and Economics, Dalian City, Liaoning Province, China.
Yujie CuiCollege of Economic and Management, Heilongjiang Bayi Agricultural University, Daqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Promoting the high-quality development of strategic emerging enterprises is an inevitable approach to building a strong nation, and innovation serves as the critical engine providing core momentum for such development. From the perspective of complex causal effect analysis, this article selects 176 A-share listed companies in strategic emerging industries from 2012 to 2023 as samples and employs a combination of methods including NCA, multi-period fsQCA, and empirical regression analysis to distill practical pathways for innovation-driven high-quality development in these enterprises. The research findings are summarized as follows: (1) There is no single necessary condition for achieving high-quality development in strategic emerging enterprises; rather, it is the result of the synergistic interaction among technological innovation, talent innovation, and policy innovation. (2) Technological innovation has consistently played a pivotal role across all periods, with R&D investment identified as a key factor driving high-quality development. Other contributing factors also exhibit heterogeneous effects within the configurations of each period. (3) Four distinct configuration paths for high-quality development emerge across the three periods: the technology-dominant type, the "technology and talent" dual-driven type, the "technology and policy" dual-driven type, and the comprehensive innovation type. This study leverages complex causal effect analysis to offer scientific insights to relevant policymakers and enterprise managers, thereby facilitating the high-quality development of strategic emerging enterprises.

Indexed as

IndustryInventionsHumansInvestmentsTechnology

Identifiers

PMID40749034
PMCPMC12316395

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.