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

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  • Hector Pollitt
  • Jean-Francois Mercure

Abstract

This article outlines a critical gap in the assessment methodology used to estimate the macroeconomic costs and benefits of climate and energy policy, which could lead to misleading information being used for policy-making. We show that the Computable General Equilibrium (CGE) models that are typically used for assessing climate policy use assumptions about the financial system that sit at odds with the observed reality. These assumptions lead to ‘crowding out’ of capital and, because of the way the models are constructed, negative economic impacts (in terms of gross domestic product (GDP) and welfare) from climate policy in virtually all cases.In contrast, macro-econometric models, which follow non-equilibrium economic theory and adopt a more empirical approach, apply a treatment of the financial system that is more consistent with reality. Although these models also have major limitations, they show that green investment need not crowd out investment in other parts of the economy – and may therefore offer an economic stimulus. Our conclusion is that improvements in both modelling approaches should be sought with some urgency – both to provide a better assessment of potential climate and energy policy and to improve understanding of the dynamics of the global financial system more generally.POLICY RELEVANCEThis article discusses the treatment of the financial system in the macroeconomic models that are used in assessments of climate and energy policy. It shows major limitations in approach that could result in misleading information being provided to policy-makers.

Suggested Citation

  • Hector Pollitt & Jean-Francois Mercure, 2018. "The role of money and the financial sector in energy-economy models used for assessing climate and energy policy," Climate Policy, Taylor & Francis Journals, vol. 18(2), pages 184-197, February.
  • Handle: RePEc:taf:tcpoxx:v:18:y:2018:i:2:p:184-197
    DOI: 10.1080/14693062.2016.1277685
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    Cited by:

    1. Pim Vercoulen & Soocheol Lee & Xu Han & Wendan Zhang & Yongsung Cho & Jun Pang, 2023. "Carbon-Neutral Steel Production and Its Impact on the Economies of China, Japan, and Korea: A Simulation with E3ME-FTT:Steel," Energies, MDPI, vol. 16(11), pages 1-24, June.
    2. Dafermos, Yannis & Nikolaidi, Maria, 2019. "Fiscal policy and ecological sustainability: a post-Keynesian perspective," Greenwich Papers in Political Economy 37777, University of Greenwich, Greenwich Political Economy Research Centre.
    3. Jesse M. Keenan & Anurag Gumber, 2019. "California climate adaptation trust fund: exploring the leveraging of cap-and-trade proceeds," Environment Systems and Decisions, Springer, vol. 39(4), pages 454-465, December.
    4. D’Orazio, Paola & Valente, Marco, 2019. "The role of finance in environmental innovation diffusion: An evolutionary modeling approach," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 417-439.
    5. Gramkow, Camila, 2020. "Green fiscal policies: An armoury of instruments to recover growth sustainably," Estudios y Perspectivas – Oficina de la CEPAL en Brasilia 45418, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    6. Bhatnagar, S. & Sharma, D., 2022. "Evolution of green finance and its enablers: A bibliometric analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 162(C).
    7. Hu, Xiurong & Pollitt, Hector & Pirie, Jamie & Mercure, Jean-Francois & Liu, Junfeng & Meng, Jing & Tao, Shu, 2020. "The impacts of the trade liberalization of environmental goods on power system and CO2 emissions," Energy Policy, Elsevier, vol. 140(C).
    8. Flori, Andrea & Pammolli, Fabio & Spelta, Alessandro, 2021. "Commodity prices co-movements and financial stability: A multidimensional visibility nexus with climate conditions," Journal of Financial Stability, Elsevier, vol. 54(C).
    9. Yannis Dafermos & Maria Nikolaidi, 2019. "Fiscal policy and ecological sustainability," FMM Working Paper 52-2019, IMK at the Hans Boeckler Foundation, Macroeconomic Policy Institute.
    10. Sievers, Luisa & Breitschopf, Barbara & Pfaff, Matthias & Schaffer, Axel, 2019. "Macroeconomic impact of the German energy transition and its distribution by sectors and regions," Ecological Economics, Elsevier, vol. 160(C), pages 191-204.
    11. Hector Pollitt & Karsten Neuhoff & Xinru Lin, 2020. "The impact of implementing a consumption charge on carbon-intensive materials in Europe," Climate Policy, Taylor & Francis Journals, vol. 20(S1), pages 74-89, April.
    12. 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.
    13. Zoi Vrontisi & Ioannis Charalampidis & Ulrike Lehr & Mark Meyer & Leonidas Paroussos & Christian Lutz & Yen E. Lam-González & Anastasia Arabadzhyan & Matías M. González & Carmelo J. León, 2022. "Macroeconomic impacts of climate change on the Blue Economy sectors of southern European islands," Climatic Change, Springer, vol. 170(3), pages 1-21, February.
    14. Farid Ullah & Ma Degong & Muhammad Anwar & Saddam Hussain & Rizwan Ullah, 2021. "Supportive tactics for innovative and sustainability performance in emerging SMEs," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-31, December.
    15. Xu Han & Pim Vercoulen & Soocheol Lee & Aileen Lam & Shinya Kato & Toru Morotomi, 2023. "Policy Design for Diffusing Hydrogen Economy and Its Impact on the Japanese Economy for Carbon Neutrality by 2050: Analysis Using the E3ME-FTT Model," Energies, MDPI, vol. 16(21), pages 1-23, November.
    16. Hafner, Sarah & Anger-Kraavi, Annela & Monasterolo, Irene & Jones, Aled, 2020. "Emergence of New Economics Energy Transition Models: A Review," Ecological Economics, Elsevier, vol. 177(C).
    17. 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.
    18. 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.
    19. Camila Gramkow & Annela Anger-Kraavi, 2019. "Developing Green: A Case for the Brazilian Manufacturing Industry," Sustainability, MDPI, vol. 11(23), pages 1-16, November.
    20. 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.
    21. Nieto, Jaime & Pollitt, Hector & Brockway, Paul E. & Clements, Lucy & Sakai, Marco & Barrett, John, 2021. "Socio-macroeconomic impacts of implementing different post-Brexit UK energy reduction targets to 2030," Energy Policy, Elsevier, vol. 158(C).
    22. Ekaterina Rhodes & Kira Craig & Aaron Hoyle & Madeleine McPherson, 2021. "How Do Energy-Economy Models Compare? A Survey of Model Developers and Users in Canada," Sustainability, MDPI, vol. 13(11), pages 1-39, May.
    23. Bachner, G. & Mayer, J. & Steininger, K.W. & Anger-Kraavi, A. & Smith, A. & Barker, T.S., 2020. "Uncertainties in macroeconomic assessments of low-carbon transition pathways - The case of the European iron and steel industry," Ecological Economics, Elsevier, vol. 172(C).
    24. Eszter Boros, 2020. "Risks of Climate Change and Credit Institution Stress Tests," Financial and Economic Review, Magyar Nemzeti Bank (Central Bank of Hungary), vol. 19(4), pages 107-131.

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