Chu, Junfei, Shao, Caifeng, Emrouznejad, Ali, Wu, Jie and Yuan, Zhe (2021). Performance evaluation of organizations considering economic incentives for emission reduction:A carbon emission permit trading approach. Energy Economics, 101 ,
Abstract
The emissions trading system allows organizations to transact emission permits to fit their production practice. This paper develops a new nonparametric methodology for performance evaluation of organizations (or decision-making units, DMUs) considering carbon emission permit trading. Explicit production axioms are discussed, and a new production technology considering carbon emission permit trading is proposed. Models based on the new production technology are established for evaluating the carbon emission reduction potential and performance of the DMUs. Comparing the proposed models with previous ones, the adoption of carbon emission permit trading increases the potentials of DMUs to reduce carbon dioxide emission and improve inputs and outputs. In addition, a proper increase of the carbon emission permit trading price can increase the potential of DMUs to reduce carbon dioxide emissions. The proposed approach contributes to the literature by explicitly explaining how adopting carbon emission permit trading affects production technology. A numeral example illustrates the proposed approach while the usefulness and practicality of the models are explained by applying them to China's thermal power industry.
Publication DOI: | https://doi.org/10.1016/j.eneco.2021.105398 |
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Divisions: | College of Business and Social Sciences > Aston Business School > Operations & Information Management College of Business and Social Sciences > Aston Business School |
Additional Information: | © 2021, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/. |
Uncontrolled Keywords: | Data envelopment analysis,Carbon emission permit trading,Production technology,Efficiency evaluation,Abatement potential |
Publication ISSN: | 1873-6181 |
Last Modified: | 11 Oct 2024 07:31 |
Date Deposited: | 25 Jun 2021 09:47 |
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Related URLs: |
https://linking ... 140988321002978
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PURE Output Type: | Article |
Published Date: | 2021-09-01 |
Published Online Date: | 2021-06-24 |
Accepted Date: | 2021-06-19 |
Authors: |
Chu, Junfei
Shao, Caifeng Emrouznejad, Ali ( 0000-0001-8094-4244) Wu, Jie Yuan, Zhe |
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Version: Accepted Version
License: Creative Commons Attribution Non-commercial No Derivatives
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