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A parallel DEA-based method for evaluating parallel independent subunits with heterogeneous outputs
Xiong, Xi1,2,3; Yang, Guo-liang2,3; Guan, Zhong-cheng2,3
发表期刊JOURNAL OF INFORMETRICS
关键词Data Envelopment AnalysisHeterogeneityParallel StructureRegional Innovation Systemsa
摘要

Data envelopment analysis (DEA) is a methodology for assessing the relative efficiency of a set of homogeneous decision-making units (DMUs), i.e., a set of DMUs belonging to the same technology and having the same input and output indicators. However, in many practical settings, the assumption of homogeneity does not hold. Especially in a multi-function parallel system, each subunit may not have the same function, so it may produce different outputs (e.g., the professors in a university have the responsibilities of teaching and research which consume same inputs while produce different outputs). How to compare a subunit to others in a multi-function heterogeneous parallel system? Therefore, in this study, we extend the DEA model to consider the one-sided heterogeneous problem in a multi-function parallel structure, handling subunit sets that have heterogeneity in outputs. Here, we propose parallel DEA-based methods and the results show that if the non-existent outputs are replaced with zeros or missing values will lead to overestimate the efficiency of the DMU. Then, an application of our proposed approach to the regional innovation systems' performance evaluation regarding 30 provinces in China from 2012 to 2016 is provided and concludes with several findings. (C) 2020 Elsevier Ltd. All rights reserved.

2020
卷号14期号:10页码:1-21
产权排序2
合作性质国内
学科领域科学学与科技管理
DOI10.1016/j.joi.2020.101049
收录类别SCI
语种英语
引用统计
文献类型期刊论文
条目标识符http://ir.casisd.cn/handle/190111/9808
专题中国科学院科技战略咨询研究院
通讯作者Guan, Zhong-cheng
作者单位1.College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
2.中国科学院科技战略咨询研究院
3.中国科学院大学
第一作者单位中国科学院科技战略咨询研究院
推荐引用方式
GB/T 7714
Xiong, Xi,Yang, Guo-liang,Guan, Zhong-cheng. A parallel DEA-based method for evaluating parallel independent subunits with heterogeneous outputs[J]. JOURNAL OF INFORMETRICS,2020,14(10):1-21.
APA Xiong, Xi,Yang, Guo-liang,&Guan, Zhong-cheng.(2020).A parallel DEA-based method for evaluating parallel independent subunits with heterogeneous outputs.JOURNAL OF INFORMETRICS,14(10),1-21.
MLA Xiong, Xi,et al."A parallel DEA-based method for evaluating parallel independent subunits with heterogeneous outputs".JOURNAL OF INFORMETRICS 14.10(2020):1-21.
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