Performance Assessment of Japanese Electric Power Industry: DEA Measurement with Future Impreciseness
This study examines the performance of Japanese electric power companies from 2003 to 2020. We use an observed data set from 2003 to 2015 and a forecasted data set from 2016 to 2020. The Japanese deregulation of the industry needs to be completed by April 2020. As a method, this study uses data enve...
Main Authors: | Toshiyuki Sueyoshi, Mika Goto |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-01-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/13/2/490 |
Similar Items
-
DEA Non-Radial Approach for Resource Allocation and Energy Usage to Enhance Corporate Sustainability in Japanese Manufacturing Industries
by: Toshiyuki Sueyoshi, et al.
Published: (2019-05-01) -
Determining the Most Efficient Supplier Considering Imprecise Data in Data Envelopment Analysis (DEA), a extension for Toloo and Nalchigar's model
by: Morteza Rahmani, et al.
Published: (2017-03-01) -
The Imprecision Issues of Four Powers and Eight Predictive Powers with Historical and Interim Data
by: Ying-Ying Zhang, et al.
Published: (2022-10-01) -
Performance Assessment of Japanese Electricity and Gas Companies during 2002–2018: Three DEA Approaches
by: Toshiyuki Sueyoshi, et al.
Published: (2021-03-01) -
Evaluation and selection of sustainable suppliers in supply chain using new GP-DEA model with imprecise data
by: Saeid Jafarzadeh Ghoushchi, et al.
Published: (2017-11-01)