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机构地区:[1]成都理工大学商学院,成都610059 [2]衡水科技工程学校,河北衡水053000
出 处:《成都理工大学学报(社会科学版)》2013年第2期93-100,共8页Journal of Chengdu University of Technology:Social Sciences
基 金:国家自然科学基金"中国金融市场极端风险危机的SVM智能预警方法及应用"(71171025);国家社会科学基金"典型事实;极值理论与金融市场风险传染的定量分析方法研究"(12BGL024);教育部人文社会科学研究青年基金"中国与国际金融市场极植风险传导机理的实证研究"(10YJCZH086);成都理工大学中青年骨干教师培养计划(2011-013)
摘 要:选取在沪深交易所上市的27家文化类上市公司作为样本,采用三阶段数据包络分析(Data En-velopment Analysis,DEA)模型首先分离出影响投入变量的环境因素,并对各公司经营绩效评价进行研究。研究结果表明:就样本公司整体而言,经营综合技术效率较投入变量调整前有微弱下降;剔除环境因素和随机因素影响后,我国文化类上市公司经营综合效率值均值仅为0.5806,经营效率不容乐观;经营综合技术效率间的最大差异高达0.9155,表现出明显的差异性。Based on the three-stage Data Envelopment Analysis (DEA) model, and focusing on the performance of a sample of 27 cultural companies listed in Shanghai and Shenzhen Stock Exchange. This paper isolate the impact of environmental factors of the input variables, and studies the performance of each enterprise. The results show that: as far as the enterprises overall be concerned, the sample companies' technical efficiency of operating performance has decreased by using the adjusted input variables; China's cultural listed Corporations' comprehensive efficiency value is only 0. 5806 which implys that, the operating efficiency is not optimistic while we excluding environmental factors and random factors, and this result mainly governed by the low value of scale efficiency; The maximum difference between the China' s cultural listed Corporations' operating technical efficiency as high as 0. 9155, and this showed obvious difference.
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