ABSTRACT
China’s pilot emission trading schemes (CP-ETS) have been operating for five years since the first pilot ETS launched its carbon market in 2013. The seven pilots have a common framework but different details. In this study, an assessment model which is used to evaluate mitigation efficiency, is constructed by combining the DID method and an evaluation matrix. Results show that the five CP-ETS have been effective in promoting emission reduction, whereas the pilot ETS of Shanghai and Chongqing have failed to drive the covered enterprises to reduce their GHG emission directly. Our findings reveal that at least three key elements, namely, allowance cap, the covered enterprises’ potential emission reduction capacity, and economic structure stability, affect the mitigation efficiency of the CP-ETS. The mitigation efficiency of the CP-ETS may be enhanced by conducting a pre-evaluation of the potential mitigation capacity of the covered enterprises, setting a mechanism for the evaluation and adjustment of the allowance cap, and employing financial tools to maintain the carbon price within a reasonable range that most covered enterprises can afford.
A detailed list of acronyms
BJ-ETS: | = | Beijing Emission Trading System |
CCER: | = | Chinese Certified Emission Redcution |
CP-ETS: | = | China’s pilot emission trading schemes |
CHEX: | = | China Hubei Emission Exchange |
CQ-ETS: | = | Chongqing Emission Trading System |
DID: | = | Difference in Differences |
ETS: | = | Emission Trading System |
ETSME: | = | Emission Trade System Mitigation Efficiency Evaluation |
FETS: | = | Failed ETS |
GD: | = | Guangdong Province |
GD-ETS: | = | Guangdong Emission Trading System |
GDP: | = | Gross Domestic Production |
GHG: | = | Greenhouse Gas |
HU-ETS: | = | Hubei Emission Trading System |
MRV: | = | Monitoring, Reporting, Verification) |
SEEX: | = | Shanghai Environment and Energy Exchange |
SETS: | = | Strong ETS |
SH-ETS: | = | Shanghai Emission Trading System |
SZ-ETS: | = | Shenzhen Emission Trading System |
TCE: | = | Tianjin Climate Exchange |
TJ-ETS: | = | Tianjin Emission Trading System |
WETS: | = | Weak ETS |
Notes
1. This study uses energy consumption data to substitute for carbon emissions data, because the pilot regions’ carbon emissions statistics in the control period (2005–2010) are unavailable, and carbon emissions from energy consumption account for over 95% of total carbon emissions.
Additional information
Funding
Notes on contributors
Wenjun Wang
Wenjun Wang is a senior researcher since the year of 2012 in Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences. She had received her PhD from Chinese Academy of Social Sciences in 2010. Her research field is in addressing climate change strategy, carbon trading system, low carbon development. Up to now, she has undertaken more than 6 national projects as the project leader.
Pengcheng Xie
Pengcheng Xie is an assistant researcher in Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences. She focus on the GHGs emission inventory compilation and urban low carbon development in recent years.
Wenxiu Wang
Wenxiu Wang is an assistant researcher at Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences. She received her PhD from Guangzhou Institute of Geochemistry, Chinese Academy of Sciences and she has been involved in various research projects related to energy strategy and human geography. Her research field is in energy strategy and low carbon economy and ecological civilization. In recent years, she has presided over or mainly participated in more than 10 national, provincial and ministeriallevel projects, and published 20 papers.
Daiqing Zhao
Daiqing Zhao is the director of the Energy Strategy Research Center, Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences. She has been working on energy strategy research for a long time.