Pan, Y., Wu, J., Zhang, C.-C. et al. (1 more author) (2024) Measuring carbon emission performance in China's energy market: Evidence from improved non-radial directional distance function data envelopment analysis. European Journal of Operational Research. ISSN 0377-2217
Abstract
The most complex challenge facing the energy market is identifying effective solutions to reduce CO2 emissions (CEs) and enhance environmental performance (EP). Coal production within the power sector is the primary source of these emissions. In this study, we developed a novel linear programming model that accounts for undesirable outputs to assess the EP of 15 power enterprises in eastern China from 2016 to 2020. In addition, we employed a global non-radial Malmquist-Luenberger productivity index (GNML) to analyse the mechanisms influencing changes in efficiency among these enterprises. Our findings indicate that, while the EP of the power industry in eastern China improved, it remains at a relatively low level and exhibits instability. Moreover, technological efficiency (TE) and scale efficiency (SE) play a significant role in determining production efficiency within the sector. Therefore, it is essential for industry managers to implement standardized production management regulations, enhance technological development and scale investments, and strengthen control over unintended emissions that could facilitate energy transition.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | This is an author produced version of an article accepted for publication in European Journal of Operational Research, made available under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Energy market, OR in energy, Energy transition, Emission performance, Efficiency evaluation, NDDF-DEA, GNML |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Economics Division (LUBS) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 11 Nov 2024 11:55 |
Last Modified: | 27 Nov 2024 11:16 |
Status: | Published online |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.ejor.2024.11.019 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:219425 |