ArticleHeliyon2023
Assessing the competitiveness of listed Chinese high-growth companies in the STAR market.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
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Who cites it
1 citing paper in PubMed.
- Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper aims to assess the competitiveness of 68 high-growth enterprises listed on China's STAR market and explore the combination of antecedent conditions that led to their listing using fuzzy set qualitative comparative analysis. The interpretive structure model was utilized to identify the factors influencing their competitiveness, and the listing index weight for the STAR market was determined using the analytic hierarchy process. The competitiveness of the listed enterprises was found to be promising, with new energy, next-generation IT, and high-end equipment manufacturing being the most prominent fields. However, energy conservation and environmental protection exhibited relatively weak listed competitiveness. The listing of these enterprises was the result of multiple factors rather than a single factor. The listing paths of high-growth enterprises in China were classified into three types: well-operated with high technical competence and innovation-led, high-profit with low growth and innovation, and large-scale, high-profit, and innovation-led.
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Registered trials
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