Efficiency Based on the Two-stage Correlative DEA Malmquist Index on Western Regional Technical Innovation

Operations Research and Management Science ›› 2013, Vol. 22 ›› Issue (3): 162-168.

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Efficiency Based on the Two-stage Correlative DEA Malmquist Index on Western Regional Technical Innovation

PENG Yu, CHEN Si-ying, SHENG Wen-wen, PU Yu

Economics and Management College of Southwest University of Science and Technology, Mianyang 621010, China

Received:2011-12-03 Online:2013-06-25

Malmquist指数法对西部地区技术创新效率的评价——基于两阶段关联DEA方法

彭煜, 陈思颖, 盛文文, 蒲玉

西南科技大学经济管理学院,四川绵阳 621010

作者简介:彭煜(1963-),男,湖南永州人,博士,教授,研究方向:决策分析、系统工程;陈思颖(1984-),女,四川乐山人,硕士生,研究方向:决策分析;盛文文(1986-),女,黑龙江哈尔滨人,硕士生,研究方向:决策分析蒲玉(1985-)女,四川绵阳人,硕士生,研究方向:决策分析。
基金资助:
基于复杂网络博弈的循环经济研究及应用(XHJJ-1004),四川省循环经济研究中心项目

Abstract

Abstract: By using the two-stage correlative DEA model to calculate Malmqusit index and evaluating the efficiency of technological innovation in the western region, it is found that when a decomposition index promotes the efficiency of technological innovation, the other decomposition index always plays a restricteds role. Compared with the calculated results of the traditional DEA model, the index of this method better reflects the objective reality.

Key words: business management, technological innovation efficiency, Malmqusit index, two-stage correlative DEA model, technological innovation

摘要： 文章利用两阶段关联DEA模型计算Malmqusit指数及其分解指数,并用于评价西部地区技术创新效率,研究发现,当Malmqusit的一种分解指数对技术创新效率起促进作用时,另一种分解指数总会起制约作用。同时,在与传统DEA模型计算得到的结果相比,两阶段DEA方法得到的指数更能反映客观实际。

关键词: 企业管理, 效率评价, Malmqusit指数, 两阶段关联DEA, 技术创新

CLC Number:

F223

PENG Yu, CHEN Si-ying, SHENG Wen-wen, PU Yu. Efficiency Based on the Two-stage Correlative DEA Malmquist Index on Western Regional Technical Innovation[J]. Operations Research and Management Science, 2013, 22(3): 162-168.

彭煜, 陈思颖, 盛文文, 蒲玉. Malmquist指数法对西部地区技术创新效率的评价——基于两阶段关联DEA方法[J]. 运筹与管理, 2013, 22(3): 162-168.

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Efficiency Based on the Two-stage Correlative DEA Malmquist Index on Western Regional Technical Innovation

Malmquist指数法对西部地区技术创新效率的评价——基于两阶段关联DEA方法

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