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评估在科创板上市的中国高成长型公司的竞争力。

Assessing the competitiveness of listed Chinese high-growth companies in the STAR market.

作者信息

Zhang Wei, Li Shuo, Li Zhiguang, Feng Hui

机构信息

School of Information Engineering, Anhui University of Chinese Medicine, Hefei, Anhui, China.

School of Electronic Engineering, National University of Defense Technology, Hefei, Anhui, China.

出版信息

Heliyon. 2023 Apr 23;9(5):e15735. doi: 10.1016/j.heliyon.2023.e15735. eCollection 2023 May.

DOI:10.1016/j.heliyon.2023.e15735
PMID:37159679
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10163631/
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.

摘要

本文旨在评估中国科创板上市的68家高成长企业的竞争力,并运用模糊集定性比较分析方法探索导致它们上市的先行条件组合。利用解释结构模型识别影响其竞争力的因素,并运用层次分析法确定科创板的上市指标权重。研究发现,上市企业的竞争力前景良好,新能源、新一代信息技术和高端装备制造是最突出的领域。然而,节能环保领域的上市竞争力相对较弱。这些企业的上市是多种因素而非单一因素的结果。中国高成长企业的上市路径分为三种类型:技术能力强、创新引领且经营良好型;低增长、创新但高盈利型;大规模、高盈利且创新引领型。

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本文引用的文献

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Configuration Analysis of Influencing Factors of Technical Efficiency Based on DEA and fsQCA: Evidence from China's Medical and Health Institutions.基于DEA和fsQCA的技术效率影响因素组态分析:来自中国医疗卫生机构的证据
Risk Manag Healthc Policy. 2021 Jan 8;14:49-65. doi: 10.2147/RMHP.S282178. eCollection 2021.