Evidence map›Paper›PMID 40084022›Full record

ArticleHeliyon2025

Analysis of technology innovation efficiency and its impact factors based on DEA-fsQCA method: Evidence from listed seed companies in China.

Ming Mo, Lidanting Zeng

Abstract read
In one paragraph

Article in Heliyon, 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

2 authors.

Ming MoSchool of Business, Hunan Agricultural University, Changsha, 410128, China.
Lidanting ZengSchool of Business, Hunan Agricultural University, Changsha, 410128, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seed industry plays a pivotal role in the advancement of national agricultural growth, with seed companies serving as the primary drivers of seed production. The existence of seed companies with the ability to integrate innovation and adapt to market demand plays a crucial role in a nation's capacity to ensure food security over time. This study utilizes micro-data from listed seed companies in China spanning the years 2019-2023 to conduct a comprehensive analysis of enterprise innovation efficiency. The research aims to identify strategies for enhancing innovation efficiency and ultimately fostering development within these seed companies. The findings indicate that: (1) The general level of innovation efficiency among listed seed companies in China exhibits significant potential for enhancement, with technology research and development stage demonstrating higher efficiency levels compared to stage of achievement transformation; (2) The enhancement of innovation efficiency in listed seed companies does not rely solely on any individual factor, but rather necessitates the combined influence of two or more antecedent variables; (3) Listed seed companies in China can enhance their innovation capability through five key approaches: employee-centric, talent and management-focused, talent and scale diversity-driven, talent and government collaboration, and talent and diversity enhancement strategies. The findings presented in this paper are expected to enhance the innovation efficiency of seed companies and offer both policy recommendations and practical guidance for fostering seed industry.

Indexed as

fsQCAInnovation efficiencyMalmquist modelSeed companiesTwo stage DEA model

Identifiers

PMID40084022
PMCPMC11903803

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.