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The role of money and the financial sector in energy-economy models used for assessing climate policy

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  • H. Pollitt
  • J. -F. Mercure

Abstract

This paper outlines a critical gap in the assessment methodology used to estimate the macroeconomic costs and benefits of climate policy. It shows that the vast majority of models used for assessing climate policy use assumptions about the financial system that sit at odds with the observed reality. In particular, the models' assumptions lead to `crowding out' of capital, which cause them to show negative impacts from climate policy in virtually all cases. We compare this approach with that of the E3ME model, which follows non-equilibrium economic theory and adopts a more empirical approach. While the non-equilibrium model also has limitations, its treatment of the financial system is more consistent with reality and it shows that green investment need not crowd out investment in other parts of the economy -- and may therefore offer an economic stimulus. The implication of this finding is that standard CGE models consistently over-estimate the costs of climate policy in terms of GDP and welfare, potentially by a substantial amount. These findings overly restrict the range of possible emission pathways accessible using climate policy from the viewpoint of the decision-maker, and may also lead to misleading information used for policy making. Improvements in both modelling approaches should be sought with some urgency -- both to provide a better assessment of potential climate policy and to improve understanding of the dynamics of the global financial system more generally.

Suggested Citation

  • H. Pollitt & J. -F. Mercure, 2015. "The role of money and the financial sector in energy-economy models used for assessing climate policy," Papers 1512.02912, arXiv.org.
  • Handle: RePEc:arx:papers:1512.02912
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    References listed on IDEAS

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    1. Mercure, J.-F. & Pollitt, H. & Chewpreecha, U. & Salas, P. & Foley, A.M. & Holden, P.B. & Edwards, N.R., 2014. "The dynamics of technology diffusion and the impacts of climate policy instruments in the decarbonisation of the global electricity sector," Energy Policy, Elsevier, vol. 73(C), pages 686-700.
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    8. Mercure, Jean-François, 2012. "FTT:Power : A global model of the power sector with induced technological change and natural resource depletion," Energy Policy, Elsevier, vol. 48(C), pages 799-811.
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    Cited by:

    1. Aileen Lam & Soocheol Lee & Jean-François Mercure & Yongsung Cho & Chun-Hsu Lin & Hector Pollitt & Unnada Chewpreecha & Sophie Billington, 2018. "Policies and Predictions for a Low-Carbon Transition by 2050 in Passenger Vehicles in East Asia: Based on an Analysis Using the E3ME-FTT Model," Sustainability, MDPI, vol. 10(5), pages 1-32, May.
    2. Mark Meyer & Martin Hirschnitz-Garbers & Martin Distelkamp, 2018. "Contemporary Resource Policy and Decoupling Trends—Lessons Learnt from Integrated Model-Based Assessments," Sustainability, MDPI, vol. 10(6), pages 1-28, June.
    3. Floor Brouwer & Lydia Vamvakeridou-Lyroudia & Eva Alexandri & Ingrida Bremere & Matthew Griffey & Vincent Linderhof, 2018. "The Nexus Concept Integrating Energy and Resource Efficiency for Policy Assessments: A Comparative Approach from Three Cases," Sustainability, MDPI, vol. 10(12), pages 1-18, December.
    4. Etienne Espagne, 2018. "Money, Finance and Climate: The Elusive Quest for a Truly Integrated Assessment Model," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 60(1), pages 131-143, March.
    5. Soocheol Lee & Unnada Chewpreecha & Hector Pollitt & Satoshi Kojima, 2018. "An economic assessment of carbon tax reform to meet Japan’s NDC target under different nuclear assumptions using the E3ME model," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(2), pages 411-429, April.

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