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

Decomposition weights and overall efficiency in two-stage additive network DEA

2017 ◽  
Vol 257 (3) ◽  
pp. 896-906 ◽  
Author(s):  
Chuanyin Guo ◽  
Roohollah Abbasi Shureshjani ◽  
Ali Asghar Foroughi ◽  
Joe Zhu
Keyword(s):  
Two Stage ◽  
Network Dea ◽  
Overall Efficiency

Non-cooperative two-stage network DEA model: Linear vs. parametric linear

2017 ◽  
Vol 258 (1) ◽  
pp. 398-400 ◽  
Author(s):  
Chuanyin Guo ◽  
Joe Zhu
Keyword(s):  
Two Stage ◽  
Network Dea ◽  
Dea Model

scholarly journals Alternative Secondary Goals in Multiplicative Two-Stage Data Envelopment Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Chao Lu ◽  
Haifang Cheng
Keyword(s):  
Data Envelopment Analysis ◽  
Relative Efficiency ◽  
Data Envelopment ◽  
Nonparametric Method ◽  
Two Stage ◽  
Dea Model ◽  
Second Stage ◽  
China Construction Bank ◽  
Overall Efficiency ◽  
Decision Making Units

Data envelopment analysis (DEA) is a nonparametric method for evaluating the relative efficiency of a set of decision-making units (DMUs) with multiple inputs and outputs. As an extension of the DEA, a multiplicative two-stage DEA model has been widely used to measure the efficiencies of two-stage systems, where the first stage uses inputs to produce the outputs, and the second stage then uses the first-stage outputs as inputs to generate its own outputs. The main deficiency of the multiplicative two-stage DEA model is that the decomposition of the overall efficiency may not be unique because of the presence of alternate optima. To remove the problem of the flexible decomposition, in this paper, we maximize the sum of the two-stage efficiencies and simultaneously maximize the two-stage efficiencies as secondary goals in the multiplicative two-stage DEA model to select the decomposition of the overall efficiency from the flexible decompositions, respectively. The proposed models are applied to evaluate the performance of 10 branches of China Construction Bank, and the results are compared with the results of the existing models.

scholarly journals Sustainable Performance of Low-Carbon Energy Infrastructure Investment on Regional Development: Evidence from China

2018 ◽  
Vol 10 (12) ◽  
pp. 4657 ◽  
Author(s):  
Tzu-Yu Lin ◽  
Sheng-Hsiung Chiu
Keyword(s):  
Chinese Government ◽  
Economic Systems ◽  
Low Carbon ◽  
Two Stage ◽  
Network Dea ◽  
Regional Economic ◽  
Energy Infrastructure ◽  
Dea Model ◽  
Sustainable Performance ◽  
Low Carbon Energy

In the 13th Five-Year Plan, the Chinese government declared that one of the sustainable policy priorities is improving the energy supply composition in order to reduce greenhouse gas emissions. In accordance with the Plan, the Guangdong government subsequently planned to invest in low-carbon energy infrastructure from 2016 to 2020. Using data from Guangdong province and other regions in China for 2007–2016, we propose a two-stage network data envelopment analysis (Network DEA) model to examine the sustainable performance of the Chinese regional/provincial economic system. We postulated that the less sustainable performance of Chinese regional economic systems may be attributed to lower energy productivity performance. However, we found that increased governmental and industrial spending on electricity mix improvement by building new low-carbon power plants created momentum in Guangdong’s economic growth, which experienced an annual rise of roughly 1.16%. Finally, the results from the two-stage Network DEA model showed that Guangdong fared better than other provinces with respect to sustainable performance. Investment in low-carbon energy infrastructure is not only a measure to combat CO2 emission, but could act as the driving force of regional economic systems.

scholarly journals An analysis of the performance of global major airports using two-stage network DEA model

2017 ◽  
Vol 45 (1) ◽  
pp. 65-92 ◽  
Author(s):  
Seuck-Cheun Yoo ◽  
Jie Meng ◽  
Sungmook Lim
Keyword(s):  
Two Stage ◽  
Network Dea ◽  
Dea Model

scholarly journals Stochastic p-robust approach to two-stage network DEA model

2019 ◽  
Vol 3 (2) ◽  
pp. 315-346 ◽  
Author(s):  
Rita Shakouri ◽  
◽  
Maziar Salahi ◽  
Sohrab Kordrostami ◽  
Keyword(s):  
Two Stage ◽  
Network Dea ◽  
Robust Approach ◽  
Dea Model
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