TY - JOUR
T1 - The Initial Allocation of Carbon Emission Quotas in China Based on the Industry Perspective
AU - Tang, Bao Jun
AU - Hu, Yu Jie
AU - Yang, Yang
N1 - Publisher Copyright:
©, Copyright © Taylor & Francis Group, LLC.
PY - 2021
Y1 - 2021
N2 - On December 19th, 2017, China’s Emissions Trading System (CETS) was officially launched, firstly only covering the power industry. Cap setting and allowance allocation are urgent issues for the government. Because of the different characteristics of sectors, this paper tries to propose a reasonable and effective allocation scheme from the industry perspective for the government. Firstly, it adopts traditional methods, namely grandfathering and benchmarking. Secondly, it proposes theoretical allocation schemes. Finally, the most effective scheme is selected for sectors. Results show that quotas of grandfathering scheme are larger than that of benchmarking scheme. Among four theoretical scenarios, quotas in the preferring capacity scenario are the lowest and those in the preferring potential scenario are the highest. Quotas of the manufacturing and electricity, gas, and water production and supply industries are higher. In the industrial sectors, quotas of the light and high-tech industries are lower. Results of regional quotas calculations in the preferring capacity scheme are consistent with the regional carbon intensity reduction target in the 13th Five-Year Plan Work Program for Controlling GHG Emissions. After comparing all schemes, this paper determines that theoretical scheme is the most effective for its balance on emissions reduction and development of sectors.
AB - On December 19th, 2017, China’s Emissions Trading System (CETS) was officially launched, firstly only covering the power industry. Cap setting and allowance allocation are urgent issues for the government. Because of the different characteristics of sectors, this paper tries to propose a reasonable and effective allocation scheme from the industry perspective for the government. Firstly, it adopts traditional methods, namely grandfathering and benchmarking. Secondly, it proposes theoretical allocation schemes. Finally, the most effective scheme is selected for sectors. Results show that quotas of grandfathering scheme are larger than that of benchmarking scheme. Among four theoretical scenarios, quotas in the preferring capacity scenario are the lowest and those in the preferring potential scenario are the highest. Quotas of the manufacturing and electricity, gas, and water production and supply industries are higher. In the industrial sectors, quotas of the light and high-tech industries are lower. Results of regional quotas calculations in the preferring capacity scheme are consistent with the regional carbon intensity reduction target in the 13th Five-Year Plan Work Program for Controlling GHG Emissions. After comparing all schemes, this paper determines that theoretical scheme is the most effective for its balance on emissions reduction and development of sectors.
KW - China
KW - carbon emission quotas
KW - industry
KW - initial allocation
UR - https://www.scopus.com/pages/publications/85073818828
U2 - 10.1080/1540496X.2019.1645006
DO - 10.1080/1540496X.2019.1645006
M3 - Article
AN - SCOPUS:85073818828
SN - 1540-496X
VL - 57
SP - 931
EP - 948
JO - Emerging Markets Finance and Trade
JF - Emerging Markets Finance and Trade
IS - 4
ER -