Cost-efficiency measurement for two-stage DEA network using game approach: an application to electrical network in Iran

Mousavizadeh, Raheleh; Mehrdad, Navabakhsh; Hafezalkotob, Ashkan

doi:10.1007/s12046-020-01480-5

Cited by 1 publication

(1 citation statement)

References 41 publications

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“…Reference [40] established a network SBM model to evaluate the environmental performance of the Chinese industrial system. Reference [41] proposed a two-stage game DEA method, using centralized and Stackelberg game models to measure the cost efficiency (CE) of Iran's power grid. Reference [42] extended the existing two-stage network DEA model that distinguishes pure energy efficiency from economic efficiency to investigate whether energy efficiency has a positive relationship with corporate financial performance in South Korea.…”

Section: Literature Reviewmentioning

confidence: 99%

Efficiency Evaluation of Chinese Provincial Industrial System Based on Network DEA Method

Zhu

et al. 2022

Sustainability

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The operation process of the Chinese provincial industrial system consists of four stages, namely the production (P) stage, wastewater treatment (WWT) stage, solid waste treatment (SWT) stage, and sulfur dioxide treatment (SDT) stage. Based on this structure, a four-stage data envelopment analysis (DEA) model is developed to evaluate the eco-efficiency, production efficiency, wastewater treatment efficiency, solid waste treatment efficiency, and sulfur dioxide treatment efficiency of provincial industrial systems in China, considering the undesirable output and variable returns to scale (VRS). Based on the objective data from 2011 to 2015, the following conclusions are drawn: Firstly, the eco-efficiency of the Chinese provincial industrial system has not been significantly improved during the study period, and the average eco-efficiency score is low, only 0.3805. Secondly, the reasons for the low eco-efficiency of the industrial system are different in the Eastern, Central, Western, and Northeastern regions. Thirdly, compared with the P stage, industrial WWT stage, and SWT stage, the efficiency of SDT stage is still relatively weak.

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Section: Literature Reviewmentioning

confidence: 99%

Efficiency Evaluation of Chinese Provincial Industrial System Based on Network DEA Method

Zhu

et al. 2022

Sustainability

View full text Add to dashboard Cite

show abstract

Cost-efficiency measurement for two-stage DEA network using game approach: an application to electrical network in Iran

Cited by 1 publication

References 41 publications

Efficiency Evaluation of Chinese Provincial Industrial System Based on Network DEA Method

Efficiency Evaluation of Chinese Provincial Industrial System Based on Network DEA Method

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