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Constructing a Competitiveness Evaluation System of Listed Chinese Medicine Enterprises Based on Grey Correlation

机译:基于灰色相关构建中市中医企业竞争力评估体系

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The purpose of the paper is to build a competitiveness evaluation index system in China by using grey correlation analysis, Analytic Hierarchy Process and entropy value method. It can offer a reference for the competitiveness evaluation of listed Chinese medicine enterprises. In this study, firstly, based on the annual reports in 2011-2013 and the related official website data of 51 listed Chinese medicine enterprises, grey correlation analysis was used to finish the selection of evaluation indices. Secondly, Analytic Hierarchy Process and entropy value method were taken to empower the indices, and then the competitiveness evaluation index system of listed Chinese medicine enterprise possessing 5 indices of level 1 (scale ability, profitability, management ability, sustainable development ability and innovation ability) and 24 indices of level 2 was established. Thirdly, on the basis of the index system, the method of Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was applied to evaluate the competitiveness of 51 listed Chinese medicine enterprises and to achieve the sort of 51 listed enterprises according the Comprehensive competitiveness and 5 indices of level 1. As for the study, the combination of subjective and objective methods was applied to construct the competitiveness evaluation index system, which not only can avoid the severe subjective bias in the process of the selection and weight for indices but make the research methods and conclusions more scientific, objective and credible.
机译:本文的目的是通过使用灰色相关分析,分析层次处理和熵值方法在中国建立竞争力评估指标体系。它可以为上市中医企业提供竞争力评估。在本研究中,首先,根据2011 - 2013年年度报告和相关官方网站数据51个上市的中医企业,灰色相关分析用于完成评估指标的选择。其次,采取了分析层次流程和熵价值,授权指数,然后是上市中医企业的竞争力评估指标体系,拥有5级指数(规模能力,盈利,管理能力,可持续发展能力和创新能力)建立24级指数2级。第三,在指标体系的基础上,应用了通过相似性与理想解决方案(TOPSIS)的顺序偏好的方法来评估51家中医企业的竞争力,并根据全面的竞争力实现51家上市企业的竞争力和5级指数。至于研究,适用主观和客观方法的组合构建竞争力评估指标体系,这不仅可以避免选择和重量的索引的严重主观偏见,而是制造研究方法和结论更科学,客观和可信。

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