Research on initial carbon quota allocation in China’s power industry based on ZSG-DEA

Kaining Su; Yajie Li; Xiqiang Chang; Mao Fan; Yong Zhang; Tao Wang

doi:10.1117/12.3025664

8 April 2024 Research on initial carbon quota allocation in China’s power industry based on ZSG-DEA

Kaining Su, Yajie Li, Xiqiang Chang, Mao Fan, Yong Zhang, Tao Wang

Proceedings Volume 13090, International Conference on Computer Application and Information Security (ICCAIS 2023); 1309011 (2024) https://doi.org/10.1117/12.3025664
Event: International Conference on Computer Application and Information Security (ICCAIS 2023), 2023, Wuhan, China

Abstract

Due to differences in resource endowments and economic development levels among regions in China, it is crucial to fully consider regional differences and select a reasonable allocation method for achieving the establishment of a unified national carbon market in 2016. This article attempts to seek a new allocation method for carbon emissions rights through the ZSGDEA model, with electricity as input and GDP and population as output. Based on the evaluation results of the model, we compared the differences in quota allocation, fairness, and efficiency between the grandfather method and the efficiency method, providing reference for the establishment and effective operation of a unified national carbon trading market.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Kaining Su, Yajie Li, Xiqiang Chang, Mao Fan, Yong Zhang, and Tao Wang "Research on initial carbon quota allocation in China’s power industry based on ZSG-DEA", Proc. SPIE 13090, International Conference on Computer Application and Information Security (ICCAIS 2023), 1309011 (8 April 2024); https://doi.org/10.1117/12.3025664

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available