Abstract
As China is facing increasingly severe challenge of climate change, Chinese government is actively promoting market-oriented strategy to achieve carbon emissions reduction at a relatively lower cost. Carbon emissions allowance trading is regarded as the major policy instrument to achieve the goal. Carbon allowance price formation mechanism and forecasting are crucial for a nascent carbon market. This paper used a directional distance function approach to estimate the shadow prices of carbon emissions of 33 sectors of the secondary industry of Shenzhen, and deduced carbon market allowance price based on the shadow prices. The results indicate that carbon market price is heavily influenced by the power & heat production industry as its huge emission amount and lowest reduction cost. Carbon offset mechanism is commonly adopted as a price stabilizing instrument in a carbon market. The results showed that the carbon market price was negatively correlated with the maximum offset ratio and positively correlated with certified emission reductions (CER) price.
| Original language | English |
|---|---|
| Title of host publication | 2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2012 - Proceedings |
| DOIs | |
| State | Published - 2012 |
| Externally published | Yes |
| Event | 2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2012 - Nanjing, China Duration: 1 Jun 2012 → 3 Jun 2012 |
Publication series
| Name | 2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2012 - Proceedings |
|---|
Conference
| Conference | 2012 2nd International Conference on Remote Sensing, Environment and Transportation Engineering, RSETE 2012 |
|---|---|
| Country/Territory | China |
| City | Nanjing |
| Period | 1/06/12 → 3/06/12 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 8 Decent Work and Economic Growth
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SDG 13 Climate Action
Keywords
- Carbon emissions
- Directional distance function
- Shadow price
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