基于资源共享与子系统交互的两阶段DEA评价方法——兼对我国“一流大学”科研绩效的评价

doi:10.16381/j.cnki.issn1003-207x.2020.0616

中国管理科学 ›› 2022, Vol. 30 ›› Issue (2): 256-263.doi: 10.16381/j.cnki.issn1003-207x.2020.0616

• 论文 • 上一篇

基于资源共享与子系统交互的两阶段DEA评价方法——兼对我国“一流大学”科研绩效的评价

杨敏^1,2, 费锡玥^1,2, 魏宇琪^1,2, 梁樑^1,2

1.合肥工业大学管理学院，安徽合肥230009;2.过程优化与智能决策教育部重点实验室，安徽合肥230009

收稿日期:2020-04-07 修回日期:2020-06-04 发布日期:2022-03-02
通讯作者: February,2022 E-mail:weiyuqi@mail.hfut.edu.cn
基金资助:
魏宇琪

Two-stage DEA Evaluation Method Based on Resource Sharing and Subsystem Interaction——Evaluation of Scientific Research Performance for “First-Class” Universities in China

YANG Min^1,2, FEI Xi-yue^1,2, WEI Yu-qi^1,2, LIANG Liang^1,2

1. School of Management, Hefei University of Technology, Hefei Anhui 230009, China;2. Key Laboratory of Process Optimization and Intelligent Decision-Making, Ministry of Education, Hefei Anhui 230009, China

Received:2020-04-07 Revised:2020-06-04 Published:2022-03-02
Contact: 魏宇琪(1995-)，男(汉族)，安徽宿州人，合肥工业大学管理学院，博士研究生，研究方向：绩效评价、应急物流等，Email:weiyuqi@mail.hfut.edu.cn. E-mail:weiyuqi@mail.hfut.edu.cn
Supported by:
国家自然科学基金资助项目(71971074, 71601067)；中央高校基本科研业务费专项资金资助项目(PA2021KCPY0032)；合肥工业大学校级青年教师教学研究项目(JYQN1910)；安徽省自然科学基金面上资助项目(1708085MG176)

摘要/Abstract

摘要： 由于复杂的竞争环境，共享资源下的交互系统组织形式变得越来越普遍，因此有必要开发一种新的方法来衡量这些系统与子系统的效率。针对复杂系统的绩效评价问题，本文提出资源共享与子系统交互的两阶段DEA评价方法予以应对。该方法在测定系统总效率的基础上，运用Stackelberg博弈方法构建模型求解出唯一的子系统(阶段)效率。最后，将该方法应用于我国40所“一流大学”科研系统绩效评价中，评价结果反映出一定的科研系统特征，并验证了该方法的有效性。

关键词: 资源共享；交互系统；两阶段；DEA

Abstract: Due to the complex competitive environment, interactive systems under shared resources are becoming more and more common, so it is necessary to develop a new method to measure the efficiency of these systems and subsystems. Aiming at the performance evaluation of complex systems, a two-stage DEA evaluation method is proposed for resource sharing and subsystem interaction. On the basis of measuring the overall efficiency of the system, the Stackelberg game idea is used to construct the model to obtain the unique subsystem efficiency. Finally, the method is applied to empirically analyze the performance of the research system for 40 “First-Class” universities in China. And the empirical results reflect certain scientific research system characteristics and verify the effectiveness of the method.

Key words: shared resources; subsystem interaction; DEA; two-stage

中图分类号:

杨敏, 费锡玥, 魏宇琪, 梁樑. 基于资源共享与子系统交互的两阶段DEA评价方法——兼对我国“一流大学”科研绩效的评价[J]. 中国管理科学, 2022, 30(2): 256-263.

YANG Min, FEI Xi-yue, WEI Yu-qi, LIANG Liang. Two-stage DEA Evaluation Method Based on Resource Sharing and Subsystem Interaction——Evaluation of Scientific Research Performance for “First-Class” Universities in China[J]. Chinese Journal of Management Science, 2022, 30(2): 256-263.

参考文献

［1］韩松, 苏熊. 中国商业银行结构效率研究:基于复杂网络DEA模型［J］. 中国管理科学, 2016(8):1-9.Han Song, Su Xiong. Study on structure efficiency of Chinese commercial banking: basing on complex network DEA model［J］. Chinese Journal of Management Science, 2016, 24(8):1-9.
［2］ An Qingxian, Yang Min, Chu Junfei, et al. Efficiency evaluation of an interactive system by data envelopment analysis approach［J］. Computers & Industrial Engineering, 2017, 103, 17-25.
［3］熊曦, 关忠诚, 杨国梁,等. 嵌套并联结构两阶段 DEA下科技创新效率测度与分解［J］. 中国管理科学, 2019(3): 206-216.Xiong Xi, Guan Zhongcheng, Yang Guoliang, et al. Measuring S &T efficiency and its decomposition using a two-stage DEA model with nested parallel structure［J］. Chinese Journal of Management Science, 2019(3): 206-216.
［4］费锡玥. 基于两阶段DEA模型的一流大学科研系统绩效评价研究［D］. 合肥：合肥工业大学，2021.Fei Xiyue. Research on performance evaluation of scientific research system of first-class university based on two-stage DEA model［D］. Hefei: Hefei University of Technology, 2021.
［5］郭新立. 基于DEA的学科有效性评价［J］. 中国管理科学, 2003, 11(6):77-80.Guo Xinli. Efficiency Measurement for the emphasis subjects based on DEA［J］. Chinese Journal of Management Science, 2003, 11(6):77-80.
［6］张志英, 张彦通. 对高校本科教学评估的分析与思考［J］. 中国管理科学, 2005,13(1):136-140.Zhang Zhiying, Zhang Yantong. Study on undergraduate teaching evaluation for higher education［J］. Chinese Journal of Management Science, 2005,13(1):136-140.
［7］陶杰, 卢超. 整数DEA问题的求解方法与改进［J］. 中国管理科学, 2017(6):151-160.Tao Jie, Lu Chao. Methods addressing integer-valued DEA problems and improvements［J］. Chinese Journal of Management Science, 2017(6):151-160.
［8］薛晖, 郑中华, 谢启伟. 基于多种DEA模型和 Gini 准则的效率评价方法——兼对我国高校运营绩效的评价［J］. 中国管理科学, 2014, 22(4): 98-104.Xue Hui, Zheng Zhonghua, Xie Qiwei. An approach on the performance evaluation problems based on multiple DEA models and gini criterion ——evaluating the performance of universities in China［J］. Chinese Journal of Management Science, 2014, 22(4): 98-104.
［9］ Charnes A, Cooper W W, Rhodes E. Measuring the efficiency of decision making units［J］. European Journal of Operational Research, 1978, 2(6): 429-444.
［10］ Sueyoshi Toshiyuki, Goto Mika. DEA approach for unified efficiency measurement: Assessment of Japanese fossil fuel power generation［J］. Energy Economics, 2011, 33(2): 292-303.
［11］ Du Juan, Wang Justin, Chen Yao, et al. Incorporating health outcomes in Pennsylvania hospital efficiency: An additive super-efficiency DEA approach［J］. Annals of Operations Research, 2014, 221(1): 161-172.
［12］ Aziz Nur Azina Abd, Janor Roziah Mohd, Mahadi Rasidah. Comparative departmental efficiency analysis within a university: A DEA approach［J］. Procedia-Social and Behavioral Sciences, 2013, 90(10): 540-548.
［13］ Wang Qunwei, Hang Ye, Sun Licheng, et al. Two-stage innovation efficiency of new energy enterprises in China: A non-radial DEA approach［J］. Technological Forecasting and Social Change, 2016, 112: 254-261.
［14］ Chen Liang, Jia Guozhu. Environmental efficiency analysis of China’s regional industry: A data envelopment analysis (DEA) based approach. Journal of Cleaner Production, 2017, 142(2): 846-853.
［15］ Kao Chiang. Network data envelopment analysis: A review［J］. European Journal of Operational Research, 2014, 239(1): 1-16.
［16］ Cook Wade D, Liang Liang, Zhu Joe. Measuring performance of two-stage network structures by DEA: A review and future perspective［J］. Omega, 2010, 38(6): 423-430.
［17］卞亦文. 非合作博弈两阶段生产系统的环境效率评价［J］. 管理科学学报, 2012, 15(7), 11-19.Bian Yiwen. Eco-efficiency evaluation of non-cooperative game two-stage production system［J］. Journal of management sciences in China, 2012, 15(7), 11-19.
［18］ Zha Yong, Liang Nannan, Wu Maoguo, et al. Efficiency evaluation of banks in China: A dynamic two-stage slacks-based measure approach［J］. Omega, 2016, 60: 60-72.
［19］ Kao Chiang. Efficiency decomposition for parallel production systems［J］. Journal of the Operational Research Society, 2012, 63(1): 64-71.
［20］ Lei Xiyang, Li Yongjun, Xie Qiwei, et al. Measuring Olympics achievements based on a parallel DEA approach［J］. Annals of Operations Research, 2015, 226(1): 379-396.
［21］ Amirteimoori Alireza. A DEA two-stage decision processes with shared resources［J］. Central European Journal of Operations Research, 2013, 21(1): 141-151.
［22］夏琼, 杨锋, 梁樑, 等. 非独立并联生产系统的 DEA效率评价研究［J］. 管理科学学报, 2012, 15(7): 20-25.Xia Qiong, Yang Feng, Liang Liang，et al. DEA efficiency evaluation of production systems with dependent parallel structure［J］. Journal of management sciences in China, 2012, 15(7): 20-25.
［23］ Wu Jie, Xiong Beibei, An Qingxian, et al. Total-factor energy efficiency evaluation of Chinese industry by using two-stage DEA model with shared inputs［J］. Annals of Operations Research, 2017, 255(1-2), 257-276.
［24］ Zhu Weiwei, Zhang Qian, Wang Haiqing. Fixed costs and shared resources allocation in two-stage network DEA［J］. Annals of Operations Research, 2017, 1-18. DOI: 10.1007/s10479-017-2599-8.
［25］ Zha Yong, Liang Liang. Two-stage cooperation model with input freely distributed among the stages［J］. European Journal of Operational Research, 2010, 205 (2), 332-338.
［26］毕功兵, 梁樑, 杨锋. 资源约束型两阶段生产系统的 DEA效率评价模型［J］. 中国管理科学, 2009, 17(2)： 71-75.Bi Gongbing, Liang Liang, Yang Feng. A DEA-based efficiency-measuring model for two-stage production systems with constrained resources［J］. Chinese Journal of Management Science, 2009, 17(2)：71-75.
［27］ Yang Guoliang, Fukuyama H, Song Y Y. Measuring the inefficiency of Chinese research universities based on a two-stage network DEA model［J］. Journal of Informetrics, 2018, 12(1): 10-30.
［28］ Hamilton J H, Slutsky S M. Endogenous timing in duopoly games: Stackelberg or cournot equilibria［J］. Games and Economic Behavior, 1990, 2(1): 29-46.

[1]	曲薪池, 侯贵生, 孙向彦. 消费者异质偏好结构下动态创新竞合系统定价与创新策略研究[J]. 中国管理科学, 2022, 30(1): 88-99.
[2]	任爱俊, 冯耕中, 田军. 考虑恢复依赖的基础设施网络应急恢复决策[J]. 中国管理科学, 2022, 30(1): 154-164.
[3]	王田, 郑重. 产能不确定供应商的风险厌恶行为对供应链的影响[J]. 中国管理科学, 2022, 30(1): 165-174.
[4]	朱立龙, 荣俊美, 张思意. 政府奖惩机制下药品安全质量监管三方演化博弈及仿真分析[J]. 中国管理科学, 2021, 29(11): 55-67.
[5]	方雪清, 吴春胤, 俞守华, 张大斌, 欧阳庆. 基于EEMD-LSTM的农产品价格短期预测模型研究[J]. 中国管理科学, 2021, 29(11): 68-77.
[6]	林志炳, 鲍蕾. 企业社会责任对供应链减排决策及政府补贴效率的影响研究[J]. 中国管理科学, 2021, 29(11): 111-121.
[7]	邓春生. 基于非线性系统稳定性理论的P2P网络借贷三方演化博弈分析[J]. 中国管理科学, 2021, 29(11): 134-145.
[8]	周永务, 杨丽芳, 曹彬, 钟远光. 考虑公平关切行为下竞争零售商的最优联合购买策略研究[J]. 中国管理科学, 2021, 29(11): 158-169.
[9]	董银红, 郑琪, 李龙. 考虑供应风险的多源应急物资采购双层规划模型[J]. 中国管理科学, 2021, 29(11): 170-178.
[10]	胡凤英, 周正龙. 考虑社交关系的网购拼单研究[J]. 中国管理科学, 2021, 29(11): 191-202.
[11]	姚升保, 古淼. 移情关系影响下的群体共识决策模型研究[J]. 中国管理科学, 2021, 29(11): 203-214.
[12]	顾秋阳, 吴宝, 池仁勇. 考虑思考时滞的社交网络舆情最优控制模型[J]. 中国管理科学, 2021, 29(11): 215-223.
[13]	牛攀峰，侯文华. 考虑供应商产品交付水平的供应链融资策略研究[J]. 中国管理科学, 2021, 29(10): 70-83.
[14]	锁立赛，姚建明，周佳辉. 基于顾客需求偏好的面向无人零售终端的供应链资源整合优化研究[J]. 中国管理科学, 2021, 29(10): 84-95.
[15]	金飞飞,刘金培，陈华友，杜鹏程. 基于信任关系和信息测度的概率语义社会网络群决策模型[J]. 中国管理科学, 2021, 29(10): 178-190.

基于资源共享与子系统交互的两阶段DEA评价方法——兼对我国“一流大学”科研绩效的评价

Two-stage DEA Evaluation Method Based on Resource Sharing and Subsystem Interaction——Evaluation of Scientific Research Performance for “First-Class” Universities in China

PDF (Mobile)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

Metrics

本文评价

推荐阅读 0