scholarly journals Sustainability Evaluation of Railways in China Using a Two-Stage Network DEA Model with Undesirable Outputs and Shared Resources

2017 ◽  
Vol 9 (1) ◽  
pp. 150 ◽  
Author(s):  
Haibo Zhou ◽  
Hanhui Hu
Keyword(s):  
Undesirable Outputs ◽  
Shared Resources ◽  
Sustainability Evaluation ◽  
Two Stage ◽  
Network Dea ◽  
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

Two-stage network processes with shared resources and resources recovered from undesirable outputs

2016 ◽  
Vol 251 (1) ◽  
pp. 182-197 ◽  
Author(s):  
Jie Wu ◽  
Qingyuan Zhu ◽  
Xiang Ji ◽  
Junfei Chu ◽  
Liang Liang
Keyword(s):  
Undesirable Outputs ◽  
Shared Resources ◽  
Two Stage

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 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

Evaluating Taiwanese Bank Efficiency Using the Two-Stage Range DEA Model

2016 ◽  
Vol 16 (04) ◽  
pp. 1043-1068 ◽  
Author(s):  
Wei-Hsin Kong ◽  
Tsu-Tan Fu ◽  
Ming-Miin Yu
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Undesirable Outputs ◽  
Analysis Model ◽  
Negative Data ◽  
Two Stage ◽  
Data Set ◽  
Dea Model ◽  
Domestic Banks

This paper develops a range directional distance data envelopment analysis (DEA) model to simultaneously deal with the problems of negative data and undesirable outputs in the study of performance measurement with two-stage DEA. We report on the development of this model to handle both positive and negative data in a DEA framework and accommodate the problem of undesirable intermediate outputs in the first stage of operational processes. Unlike previous two-stage DEA models we allow for a nonuniform abatement factor imposing on stage 1’ production technology. Such a model is then applied to evaluate Taiwanese bank efficiencies both at the operational stage and profitability stage in banking activities based on a data set consisting of 35 domestic banks in Taiwan in the period 2007. The results indicate that, by the range directional two-stage data envelopment analysis model, the operational efficiency was smaller than the profitability efficiency. Many banks generated too many performing loans in which independent banks should reduce more performing loans than financial holding company subsidiary banks. Both the ratio of investments to loans and the ratio of nonperforming loans to performing loans did not have significant contributions to the efficiency. This paper is able to provide information for bank operators and researchers on the managerial and strategic implications of how negative data and undesirable outputs affect efficiency and how to measure efficiency appropriately.

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