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Research on the Operating Efficiency of Chinese Listed Pharmaceutical Companies Based on Two-Stage Network DEA and Malmquist

机译:基于DEA和Malmquist两阶段网络的中国上市药企运营效率研究

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摘要

The development of pharmaceutical companies, which is an important part of the national economy and industry, is closely related to people's livelihood issues. With the era of big data, this paper uses the two-stage DEA and Malmquist method to evaluate the efficiency of listed Chinese pharmaceutical companies. From a static and dynamic perspective, it analyses the total factor productivity index, pure efficiency change index, scale efficiency index, and so on. The results show that government subsidies have not had a positive impact on most Chinese pharmaceutical companies, and for films, diseconomies of scale caused by rapid expansion should be avoided.
机译:医药企业的发展是国民经济和工业的重要组成部分,与民生问题息息相关。在大数据时代,本文采用两阶段DEA和Malmquist方法对中国上市药企的效率进行评估。从静态和动态两个角度分析了全要素生产率指数、纯效率变化指数、规模效率指数等。结果表明,政府补贴对大多数中国药企并未产生积极影响,对于电影而言,应避免因快速扩张而导致的规模不经济。

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