Comparative sustainability efficiency measurement of energy storages under uncertainty: An innovative framework based on interval SBM model

2021 ◽  
Vol 40 ◽  
pp. 102808
Author(s):  
Lin Ruojue ◽  
Yi Man ◽  
Carman K.M. Lee ◽  
Ping Ji ◽  
Jingzheng Ren
Author(s):  
Martin Boďa

Taking into consideration that knowing the nature of scale of operations is important both to size optimization and to technical efficiency measurement, the paper aims to identify for individual commercial banks of the Slovak banking sector the scale of their operations as exhibited by their production activities during the period from 2000 and 2012. To this end, the DEA procedure of Tone and Sahoo utilizing the concept of the degree of scale elasticity is enhanced and combined with the framework of the SBM model. The analysis of scale is conducted for the major 11 Slovak commercial banks under the prism of the production approach to banking operations, in which the economic assumption that three solid phases can be singled out in the development of the Slovak banking sector is made. The results confirm that the largest Slovak commercial banks were in the investigated period already “too large” so as to gain potentially some benefit from expanding their depository and creditory services by increasing their inputs.


Author(s):  
A. V. Ermachikhin ◽  
◽  
Yu. V. Vorobyov ◽  
V. O. Sazonov ◽  
◽  
...  

Author(s):  
Yonglin Li ◽  
Zhili Zuo ◽  
Deyi Xu ◽  
Yi Wei

The mining industry is one of the pillar industries of Guangxi’s economic and social development. The output value of mining and related industries accounts for 27% of the whole district’s total industrial output value. Therefore, the mining eco-efficiency measurement in Guangxi can be of great significance for the sustainable development of Guangxi’s mining industry. This study adopted Meta-US-SBM to measure the mining eco-efficiency in Guangxi from 2008 to 2018, including economic efficiency, resource efficiency, and environmental efficiency. It used the standard deviation ellipse model to simulate the migration trend of four efficiencies in Guangxi and used GeoDetector and Tobit models to explore the internal and external factors that affect the mining eco-efficiency. The four efficiencies in Guangxi show large temporal and spatial heterogeneity, and the internal and external factors that affect the mining eco-efficiency are different. The following conclusions can be drawn. (1) Environmental efficiency and mining eco-efficiency are improving, while economic efficiency and resource efficiency are deteriorating. Cities bordering other provinces have a significantly better mining eco-efficiency than non-bordering cities. (2) The development center in Guangxi has migrated to the Beibu Gulf Economic Zone. (3) Natural resources index and mining economic scale have a great impact on the mining eco-efficiency, and with the increase of the mining economic scale, the mining eco-efficiency showed a typical “U-shaped” curve. Finally, this study put forward corresponding policy recommendations to improve the mining eco-efficiency in Guangxi from four aspects: opening-up, technological progress, regional coordination, and government control.


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