scholarly journals A linear relational DEA model to evaluate two-stage processes with shared inputs

2015 ◽  
Vol 36 (1) ◽  
pp. 45-61 ◽  
Author(s):  
Mehdi Toloo ◽  
Ali Emrouznejad ◽  
Plácido Moreno
Keyword(s):  
Two Stage ◽  
Dea Model ◽  
Shared Inputs

Total-factor energy efficiency evaluation of Chinese industry by using two-stage DEA model with shared inputs

2015 ◽  
Vol 255 (1-2) ◽  
pp. 257-276 ◽  
Author(s):  
Jie Wu ◽  
Beibei Xiong ◽  
Qingxian An ◽  
Jiasen Sun ◽  
Huaqing Wu
Keyword(s):  
Energy Efficiency ◽  
Efficiency Evaluation ◽  
Two Stage ◽  
Dea Model ◽  
Chinese Industry ◽  
Energy Efficiency Evaluation ◽  
Shared Inputs

Energy consumption, air pollution, and public health in China: based on the Two-Stage Dynamic Undesirable DEA model

2021 ◽  
Author(s):  
Hang Lin ◽  
Huangxin Chen ◽  
Lin Zhang ◽  
Youjia Luo ◽  
Yi Shi ◽  
...  
Keyword(s):  
Public Health ◽  
Air Pollution ◽  
Energy Consumption ◽  
Two Stage ◽  
Dea Model

Measuring slacks-based efficiency for commercial banks in China by using a two-stage DEA model with undesirable output

2015 ◽  
Vol 235 (1) ◽  
pp. 13-35 ◽  
Author(s):  
Qingxian An ◽  
Haoxun Chen ◽  
Jie Wu ◽  
Liang Liang
Keyword(s):  
Commercial Banks ◽  
Undesirable Output ◽  
Two Stage ◽  
Dea Model

scholarly journals Overall Efficiency and its Decomposition in a Two-Stage Network DEA Model

2017 ◽  
Vol 2 (3) ◽  
pp. 161-192 ◽  
Author(s):  
Guo-Liang Yang ◽  
Yao-Yao Song ◽  
Dong-Ling Xu ◽  
Jian-Bo Yang
Keyword(s):  
Two Stage ◽  
Network Dea ◽  
Dea Model ◽  
Overall Efficiency

scholarly journals Two-stage DEA for Bank Efficiency Evaluation Considering Shared Input and Unexpected Output Factors

2020 ◽  
Vol 214 ◽  
pp. 01036
Author(s):  
Song Aifeng ◽  
Zhang XiaoYang ◽  
Huang Weilai ◽  
Yang xue ◽  
Yang Juan
Keyword(s):  
Market Competition ◽  
Data Envelopment ◽  
Efficiency Evaluation ◽  
Uncertain Information ◽  
Two Stage ◽  
Bank Efficiency ◽  
Dea Model ◽  
Stochastic Dea ◽  
Output Factors ◽  
Fierce Competition

With the increasingly fierce market competition, only by relying on high-quality products and high customer satisfaction can enterprises survive in the fierce competition. Among many evaluation methods, Data Envelopment Analysis (DEA), as a non-parametric statistical method to effectively deal with multi-input and multi-output problems, has received more and more attention in evaluating the relative efficiency of decision-making units. In the process of bank efficiency evaluation based on DEA method, there will be a situation that banks have both dual role factors and unexpected output factors. The Two-stage DEA model provides an effective analysis method to solve the problem of bank efficiency evaluation of complex organizational structure. In order to evaluate the efficiency of unexpected output with uncertain information, a stochastic DEA model of unexpected output is established.

Analyzing sustainable power supply chain performance

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jiasen Sun ◽  
Shuqi Xu ◽  
Guo Li
Keyword(s):  
Power Generation ◽  
Power Supply ◽  
Regional Differences ◽  
Generation System ◽  
Two Stage ◽  
Content Type ◽  
Dea Model ◽  
Sustainable Performance ◽  
Proposed Model ◽  
Power Generation System

PurposeThe power industry is the pillar industry of the Chinese economy, and also a major carbon emitter. The performances of both the production and operation of the power industry are crucial for a harmonious development of society. This study proposes an improved data envelopment analysis (DEA) model to analyze the sustainable performance of China's power supply chain (PSC).Design/methodology/approachTo analyze the sustainable performance of PSC systems in China's provincial regions, this study proposes a two-stage directional distance function (DDF) model. The proposed model not only considers the leader–follower game relationship between the power-generation system and the retail system, but also considers the factors that measure the sustainability level of the PSC.FindingsThe proposed model is applied to assess the sustainable performance of the PSCs of China's provincial regions. The findings are valuable and mainly include the following aspects: First, compared with other models, this study regards the intermediate variable of the power system as a freely disposable variable; therefore, the efficiency of the proposed model is more realistic. Second, the average efficiency of China's power retailing system is generally lower than the average efficiency of its power-generation system. Third, significant regional differences affect the power-generation efficiency, while the regional differences in power retail efficiency are not significant. The power-generation performances of PSCs in East China and Northeast China are generally higher than in other regions.Originality/valueThis study introduces the convex technique into a DEA model and thus proposes an improved two-stage DDF DEA model. In response to the game-theoretic inherent in power systems, this study also introduces the leader–follower game into the two-stage model. In addition to the theoretic novelty, all PSCs can be classified with this model. Moreover, specific recommendations for each type of PSCs are proposed based on the efficiency results, thus providing vital guidance for the practice.

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