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Research on the Performance Evaluation of Agricultural Listed Companies Based on DEA Model

机译:基于DEA模型的农业上市公司绩效评价研究

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This paper analyzed the input and output data of 17 Agricultural Listed Companies with Data Envelopment Analysis(DEA) CCR model and BCC model, obtained the overall efficiency, pure technical efficiency and scale efficiency of these 17 listed companies, then pointed out the DEA invalid companies’ improved path using the slack variable, finally proposed three policy measures to improve the performance of Agricultural Listed Companies according to the model conclusions, such as, develop leading enterprises, change the agricultural growth from extensive methods to intensive methods, optimize the product structure and develop science and technology-intensive products Etc.
机译:本文分析了17家农业上市公司的投入和输出数据具有数据包络分析(DEA)CCR模型和BCC模型,获得了整体效率,纯粹的技术效率和这17家上市公司的规模效率,然后指出了DEA无效的公司“利用Slack变量的改进路径,最后提出了三项政策措施,提高了农业上市公司的绩效,根据模型结论,如开发龙头企业,将农业增长从广泛的方法改为密集的方法,优化产品结构和优化产品结构和开发科技密集型产品等。

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