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作 者:赵治强 张光明[1] ZHAO Zhiqiang;ZHANG Guangming(School of Economics and Management,Guangxi University of Science and Technology,Liuzhou 545006,China)
机构地区:[1]广西科技大学经济与管理学院,广西柳州545006
出 处:《物流科技》2024年第18期69-76,共8页Logistics Sci Tech
摘 要:近年来,国家层面的物流政策持续利好,物流行业的发展迎来了巨大机遇,物流企业间的并购重组、股权转让、引入战略投资者等相关经济活动日益频繁,资本市场对物流企业的价值评估需求不断增长。针对传统EVA法的不足之处,文章引入灰色预测模型和突变级数法以弥补其预测未来数据时缺乏客观方法、未考虑非财务因素对企业价值的影响等缺陷,从而构建一个更为全面合理的物流企业价值评估模型。选取W公司进行案例分析以验证评估模型的有效性。研究结果表明,改进后的EVA法更为准确合理,这也为其他物流企业的价值评估提供了一定的参考意义。In recent years,the logistics policy at the national level has continued to be good,and the development of the logistics industry has ushered in great opportunities.Mergers and acquisitions,equity transfer,the introduction of strategic investors and other related economic activities among logistics enterprises have become increasingly frequent,and the demand for value evaluation of logistics enterprises in the capital market has been increasing.In view of the shortcomings of the traditional EVA method,this paper introduces the Grey Prediction Model and the Mutation Progression Method to make up for the lack of objective methods in predicting future data,and not considering the impact of non-financial factors on enterprise value,so as to construct a more comprehensive and reasonable logistics enterprise value evaluation model.Company W is selected for case analysis to verify the effectiveness of the evaluation model.The research results show that the improved EVA method is more accurate and reasonable,which also provides a certain reference value for the value evaluation of other logistics enterprises.
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