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作 者:张根文[1] 张王飞[2] 汪先哲 Zhang Genwen Zhang Wangfei Wang Xianzhe(School of Economics, Hefei University of Technology, Hefei 230601, China Shangrao Central Branch, People's Bank of China, Shangrao 334000, China)
机构地区:[1]合肥工业大学经济学院,合肥230601 [2]中国人民银行上饶市中心支行,江西上饶334000
出 处:《统计与决策》2017年第18期29-33,共5页Statistics & Decision
基 金:国家自然科学基金资助项目(J1424015);安徽省教育厅人文社会科学研究项目(JS2014AJRW0096);安徽省高校重点人文社科研究基地项目(SK2014A018)
摘 要:三阶段DEA模型是一种效率度量方法,因其可以剔除环境因素和随机因素对效率测度的影响,得到越来越多学者的应用。由于跨期异质性前沿面的存在,传统三阶段DEA模型分析面板数据的结论值得商榷。文章通过引入Window-DEA模型和面板SFA模型,构建了同时考虑外部环境和异质性前沿面的三阶段Window-DEA模型。案例分析表明,该模型具有较强的可操作性,能够为准确的测度决策单元生产效率以及考察效率的时间演变特征提供方法工具。The three-stage DEA model is an efficiency measure method able to remove the effect of environmental and ran- dom factors on efficiency measure, thus attracting more and more researchers to take advantage of it. Due to the existence of inter-temporal heterogeneity frontier, the conclusion of traditional three-stage DEA using panel data is debatable. By introducing the Window-DEA model and panel SFA model, this paper establishes the three-stage Window-DEA model accounting for environ- mental factors and heterogeneity frontier. The cases analysis manifests that the proposed model has strong operability and is able to provide an effective tool for accurately measuring the production efficiency of the decision-making unit and the temporal evolution characteristics of inspecting efficiency.
关 键 词:三阶段DEA Window-DEA 外部环境 异质性前沿面
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