Investment risks under uncertain climate change policy
This paper describes results from a model of decision-making under uncertainty using a real options methodology, developed by the International Energy Agency (IEA). The model represents investment decisions in power generation from the perspective of a private company. The investments are subject to...
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Published in | Energy policy Vol. 35; no. 11; pp. 5766 - 5773 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Oxford
Elsevier Ltd
01.11.2007
Elsevier Elsevier Science Ltd |
Series | Energy Policy |
Subjects | |
Online Access | Get full text |
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Abstract | This paper describes results from a model of decision-making under uncertainty using a real options methodology, developed by the International Energy Agency (IEA). The model represents investment decisions in power generation from the perspective of a private company. The investments are subject to uncertain future climate policy, which is treated as an external risk factor over which the company has no control. The aims of this paper are to (i) quantify these regulatory risks in order to improve understanding of how policy uncertainty may affect investment behaviour by private companies and (ii) illustrate the effectiveness of the real options approach as a policy analysis tool. The study analysed firms’ investment options of coal- and gas-fired power plants and carbon capture and storage (CCS) technologies. Policy uncertainty is represented as an exogenous event that creates uncertainty in the carbon price. Our findings indicate that climate policy uncertainty creates a risk premium for power generation investments. In the case of gas- and coal-fired power generation, the risk premium would lead to an increase in electricity prices of 5–10% in order to stimulate investment. In the case of CCS, the risk premium would increase the carbon price required to stimulate investment by 16–37% compared to a situation of perfect certainty. The option to retrofit CCS acts as a hedge against high future carbon prices, and could accelerate investment in coal plant. This paper concludes that to minimise investment risks in low carbon technologies, policy-makers should aim to provide some long-term regulatory certainty. |
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AbstractList | This paper describes results from a model of decision-making under uncertainty using a real options methodology, developed by the International Energy Agency (IEA). The model represents investment decisions in power generation from the perspective of a private company. The investments are subject to uncertain future climate policy, which is treated as an external risk factor over which the company has no control. The aims of this paper are to (i) quantify these regulatory risks in order to improve understanding of how policy uncertainty may affect investment behaviour by private companies and (ii) illustrate the effectiveness of the real options approach as a policy analysis tool. The study analysed firms' investment options of coal- and gas-fired power plants and carbon capture and storage (CCS) technologies. Policy uncertainty is represented as an exogenous event that creates uncertainty in the carbon price. Our findings indicate that climate policy uncertainty creates a risk premium for power generation investments. In the case of gas- and coal-fired power generation, the risk premium would lead to an increase in electricity prices of 5-10% in order to stimulate investment. In the case of CCS, the risk premium would increase the carbon price required to stimulate investment by 16-37% compared to a situation of perfect certainty. The option to retrofit CCS acts as a hedge against high future carbon prices, and could accelerate investment in coal plant. This paper concludes that to minimise investment risks in low carbon technologies, policy-makers should aim to provide some long-term regulatory certainty. [PUBLICATION ABSTRACT] Investment risks under uncertain climate change policy are investigated. Results from a model of decision-making uncertainty using a real option methodology, developed by the International Energy Agency (IEA), are described. The modeling approach, representing climate change policy uncertainty as a potential step-change shock to carbon prices at some fixed point in time, is used. The value to private investors of waiting for information on the sign and magnitude of the change in prices is calculated using real options modeling techniques. The results show that policy uncertainty creates a risk premium. How the use of risk quantification techniques can lead to valuable insights into the potential effects of policy uncertainty on investment behavior is demonstrated. This paper describes results from a model of decision-making under uncertainty using a real options methodology, developed by the International Energy Agency (IEA). The model represents investment decisions in power generation from the perspective of a private company. The investments are subject to uncertain future climate policy, which is treated as an external risk factor over which the company has no control. The aims of this paper are to (i) quantify these regulatory risks in order to improve understanding of how policy uncertainty may affect investment behaviour by private companies and (ii) illustrate the effectiveness of the real options approach as a policy analysis tool. The study analysed firms’ investment options of coal- and gas-fired power plants and carbon capture and storage (CCS) technologies. Policy uncertainty is represented as an exogenous event that creates uncertainty in the carbon price. Our findings indicate that climate policy uncertainty creates a risk premium for power generation investments. In the case of gas- and coal-fired power generation, the risk premium would lead to an increase in electricity prices of 5–10% in order to stimulate investment. In the case of CCS, the risk premium would increase the carbon price required to stimulate investment by 16–37% compared to a situation of perfect certainty. The option to retrofit CCS acts as a hedge against high future carbon prices, and could accelerate investment in coal plant. This paper concludes that to minimise investment risks in low carbon technologies, policy-makers should aim to provide some long-term regulatory certainty. This paper describes results from a model of decision-making under uncertainty using a real options methodology, developed by the International Energy Agency (IEA). The model represents investment decisions in power generation from the perspective of a private company. The investments are subject to uncertain future climate policy, which is treated as an external risk factor over which the company has no control. The aims of this paper are to (i) quantify these regulatory risks in order to improve understanding of how policy uncertainty may affect investment behaviour by private companies and (ii) illustrate the effectiveness of the real options approach as a policy analysis tool. The study analysed firms' investment options of coal- and gas-fired power plants and carbon capture and storage (CCS) technologies. Policy uncertainty is represented as an exogenous event that creates uncertainty in the carbon price. Our findings indicate that climate policy uncertainty creates a risk premium for power generation investments. In the case of gas- and coal-fired power generation, the risk premium would lead to an increase in electricity prices of 5-10% in order to stimulate investment. In the case of CCS, the risk premium would increase the carbon price required to stimulate investment by 16-37% compared to a situation of perfect certainty. The option to retrofit CCS acts as a hedge against high future carbon prices, and could accelerate investment in coal plant. This paper concludes that to minimise investment risks in low carbon technologies, policy-makers should aim to provide some long-term regulatory certainty. All rights reserved, Elsevier |
Author | Bunn, Derek Wilson, Tom Yang, Ming Bradley, Richard Blyth, William Clarke, Charlie |
Author_xml | – sequence: 1 givenname: William surname: Blyth fullname: Blyth, William organization: Oxford Energy Associates, 28 Stile Road, Oxford OX3 8AQ, UK – sequence: 2 givenname: Richard surname: Bradley fullname: Bradley, Richard organization: International Energy Agency, 9, rue de la Fédération, F-75739 Paris Cedex 15, France – sequence: 3 givenname: Derek surname: Bunn fullname: Bunn, Derek organization: London Business School, Regent's Park, London NW1 4SA, UK – sequence: 4 givenname: Charlie surname: Clarke fullname: Clarke, Charlie organization: Electric Power Research Institute, 3420 Hillview Avenue, Palo Alto, CA 94304, USA – sequence: 5 givenname: Tom surname: Wilson fullname: Wilson, Tom organization: Electric Power Research Institute, 3420 Hillview Avenue, Palo Alto, CA 94304, USA – sequence: 6 givenname: Ming surname: Yang fullname: Yang, Ming email: ming.yang@iea.org organization: International Energy Agency, 9, rue de la Fédération, F-75739 Paris Cedex 15, France |
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Snippet | This paper describes results from a model of decision-making under uncertainty using a real options methodology, developed by the International Energy Agency... Investment risks under uncertain climate change policy are investigated. Results from a model of decision-making uncertainty using a real option methodology,... |
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SubjectTerms | Applied sciences Carbon Climate change Climate policy Coal-fired power plants Decision making Decision making models Economic data Electric energy Electricity Electricity generation Energy Energy economics Energy policy Environmental economics Environmental policy Exact sciences and technology General, economic and professional studies Global warming Investment Methodology. Modelling Real options analysis Regulation Regulatory risk Risk factors Risk management Risk premiums Studies Uncertainty |
Title | Investment risks under uncertain climate change policy |
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