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| 1 |
ID:
183582
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| Summary/Abstract |
With firm-level panel data for seven years, this study evaluated the effect of carbon pricing policy and analyzed how firms respond to the carbon price, focusing on Korea's Emission Trading Scheme (ETS). Under the assumption that firms' responses to the carbon price might differ across industries, this study compared the manufacturing and electricity generation sectors. Our panel regression analyses show that the ETS has significant impacts on firms' carbon reduction. However, the carbon reduction mechanisms of firms differ by industrial sector. Firms in the manufacturing sector reduced carbon emissions by improving the energy efficiency of their facilities. On the other hand, those in the electricity generation sector reduced emissions by phasing out the use of fossil fuels and by giving more weight to low carbon-intensive energy sources. These findings imply that carbon pricing works as designed, sending economic signals for firms to decarbonize their economic activities. Furthermore, it works differently (and so effectively) according to the industry's characteristics.
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| 2 |
ID:
171413
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| Summary/Abstract |
By the end of 2017, China formally established the national carbon trading market, however, only electricity industry was eligible to participate in the emission trading scheme (ETS). This paper aims to answer the question as to what should China do after the first step of establishing China's national ETS market using a dynamic recursive CGE model with six scenarios from different coverage according to relevant documents. The results show that when more industries are covered in ETS market it will lead to a higher GDP performance and less ETS price in general. Since the trading price is related to the marginal emission reduction cost of enterprises, the coverage of enterprises with low emission reduction cost can bring lower prices. However, there is no direct relationship between carbon price and emission reduction, as the coverage is different in different. There is no obvious relationship between the additional burden of enterprises and emission reduction, it is only related to carbon price and the coverage. Finally, we find that after covering the power generation industry, the carbon market should cover other primary energy production enterprises, which will bring much better emission reduction benefits than the original plan of the National Development and Reform Commission in China.
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| 3 |
ID:
150785
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| Summary/Abstract |
China is planning to introduce emission trading scheme (ETS) to decrease CO2 emission. As low carbon energy (LCE) will play a pivotal role in reducing CO2 emissions, our paper is to assess the extent and the conditions under which a carbon ETS can deliver LCE investment in China. We chose wind technology as a case study and a real-option based model was built to explore the impact of a number of variables and design features on investment decisions, e.g. carbon and electricity price, carbon market risk, carbon price floor and ceiling and on-grid ratio. We compute critical values of these variables and features and explore trade-offs among them. According to our work, a carbon ETS has a significant effect on wind power plant investment although it cannot support investment in wind power on its own. Carbon price stabilization mechanisms such as carbon price floor can significantly improve the effect of carbon ETS but the critical floor to support investment is still much higher than the carbon price in China pilot ETSs. Our results show that other policy measures will be needed to promote low-carbon energy development in China.
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| 4 |
ID:
124504
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| Publication |
2013.
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| Summary/Abstract |
The European electricity market is linked to a carbon market with a fixed cap that limits greenhouse gas emissions. At the same time, a number of energy efficiency policy instruments in the EU aim at reducing the electricity consumption. This article explores the interactions between the EU's carbon market on the one hand and instruments specifically targeted towards energy end-use efficiency on the other hand. Our theoretical analysis shows how electricity demand reduction triggered by energy efficiency policy instruments affects the emission trading scheme. Without adjustments of the fixed cap, decreasing electricity demand (relative to business-as-usual) reduces the carbon price without reducing total emissions. With lower carbon prices, costly low emission processes will be substituted by cheaper high emitting processes. Possible electricity and carbon price effects of electricity demand reduction scenarios under various carbon caps are quantified with a long-term electricity market simulation model. The results show that electricity efficiency policies allow for a significant reduction of the carbon cap. Compared to the 2005 emission level, 30% emission reductions can be achieved by 2020 within the emission trading scheme with similar or even lower costs for the industrial sector than were expected when the cap was initially set for a 21% emission reduction.
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