TY - JOUR
T1 - Carbon resource reallocation with emission quota in carbon emission trading system
AU - An, Qingxian
AU - Zhu, Kefan
AU - Xiong, Beibei
AU - Shen, Zhiyang
N1 - Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2023/2/1
Y1 - 2023/2/1
N2 - In this study, a two-stage data envelopment analysis approach is developed to examine resource allocation in a real-world carbon emissions trading system. First, this study focuses on the actual participation process of incorporated units in the trading system, where incorporated units will be allocated with a carbon emission quota. Second, we propose a research structure for the carbon trading process with two stages. The first stage is to identify congestion, and the second stage is to trade among the units. We make a sensitivity analysis by considering restrictive parameters on the initial carbon emission quota. Then, we expand the research with a target-setting model that retains production technology from the previous year to set the target output for the following year. The congestion and the trading amount for each unit could be determined in advance. Furthermore, these results are able to anticipate the trading situation and provide valuable recommendations for the production and trading of the analyzed units. Finally, the proposed approach is applied to analyze 13 cities in Hubei Province to investigate their congestion and trading conditions.
AB - In this study, a two-stage data envelopment analysis approach is developed to examine resource allocation in a real-world carbon emissions trading system. First, this study focuses on the actual participation process of incorporated units in the trading system, where incorporated units will be allocated with a carbon emission quota. Second, we propose a research structure for the carbon trading process with two stages. The first stage is to identify congestion, and the second stage is to trade among the units. We make a sensitivity analysis by considering restrictive parameters on the initial carbon emission quota. Then, we expand the research with a target-setting model that retains production technology from the previous year to set the target output for the following year. The congestion and the trading amount for each unit could be determined in advance. Furthermore, these results are able to anticipate the trading situation and provide valuable recommendations for the production and trading of the analyzed units. Finally, the proposed approach is applied to analyze 13 cities in Hubei Province to investigate their congestion and trading conditions.
KW - Carbon emission trading system
KW - Carbon resource reallocation
KW - Data envelopment analysis
KW - Two-stage structure
UR - http://www.scopus.com/inward/record.url?scp=85142760788&partnerID=8YFLogxK
U2 - 10.1016/j.jenvman.2022.116837
DO - 10.1016/j.jenvman.2022.116837
M3 - Article
C2 - 36450166
AN - SCOPUS:85142760788
SN - 0301-4797
VL - 327
JO - Journal of Environmental Management
JF - Journal of Environmental Management
M1 - 116837
ER -