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Economic modelling fit for the demands of energy decision makers

Nature Energy volume 9, pages 229–231 (2024)Cite this article

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Decision makers need sector-specific, policy-focused, dynamic economic models with rich representations of technological progress. These allow them to understand how the energy transition is likely to unfold with different policies and what its impacts might be. A new generation of models is emerging to meet these demands, but more action is needed.

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References

  1. Peñasco, C., Anadón, L. D. & Verdolini, E. Nat. Clim. Change 11, 257–265 (2021).

    Article  ADS  Google Scholar 

  2. Economic Report to the President (Council of Economic Advisors, 2022); https://www.whitehouse.gov/wp-content/uploads/2022/04/ERP-2022.pdf

  3. Serafeim, G. Risks and Opportunities from the Transition to a Low Carbon Economy: A Business Analysis Framework Technical Note 123-014 (Harvard Business School, 2022).

  4. The Impact of Climate Change on the UK Insurance Sector: A Climate Change Adaptation Report by the Prudential Regulation Authority (Bank of England, 2015); https://www.bankofengland.co.uk/-/media/boe/files/prudential-regulation/publication/impact-of-climate-change-on-the-uk-insurance-sector.pdf

  5. Mercure, J. F. et al. Energy Strat. Rev. 20, 195–208 (2018).

    Article  Google Scholar 

  6. Mercure, J. F. et al. Nat. Energy 6, 1133–1143 (2021).

    Article  ADS  Google Scholar 

  7. Bailie, A. et al. Renew. Sustain. Energy Trans. 4, 100061 (2023).

    Google Scholar 

  8. Way, R., Ives, M. C., Mealy, P. & Farmer, J. D. Joule 6, 2057–2082 (2022).

    Article  Google Scholar 

  9. Berryman, A. et al. Modelling labour market transitions: The case of productivity shifts in Brazil. In New Economic Models of Energy Innovation and Transition (EEIST, 2023); https://eeist.co.uk/eeist-reports/new-economic-models-of-energy-innovation-and-transition/

  10. Lamperti, F., Dosi, G., Napoletano, M., Roventini, A. & Sapio, A. Technol. Forecast. Social Change 153, 119806 (2020).

    Article  Google Scholar 

  11. Methodologies and Considerations for Integrating the Physical and Transition Risks of Climate Change into Macroeconomic Forecasting for the President’s Budget (Council of Economic Advisors, 2023); https://www.whitehouse.gov/wp-content/uploads/2023/03/CEA-OMB-White-Paper.pdf

  12. Strachan, N., Fais, B. & Daly, H. Reinventing the energy modelling–policy interface. Nat. Energy 1, 16012 (2016).

    Article  ADS  Google Scholar 

  13. Dietz, S. & Hepburn, C. Energy Econ. 40, 61–71 (2013).

    Article  Google Scholar 

  14. Nemet, G. How Solar Energy Became Cheap: A Model for Low-carbon Innovation (Routledge, 2019).

  15. Mercure, J. F. et al. Glob. Environ. Change 70, 102359 (2021).

    Article  Google Scholar 

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Authors and Affiliations

  1. University of Oxford, Oxford, UK

    Pete Barbrook-Johnson, Cameron Hepburn & J. Doyne Farmer

  2. World Bank, Washington DC, USA

    Jean-François Mercure

  3. University of Exeter, Exeter, UK

    Jean-François Mercure & Timothy M. Lenton

  4. Climate Champions Team, London, UK

    Simon Sharpe

  5. World Resources Institute, Washington DC, USA

    Simon Sharpe

  6. University of Cambridge, Cambridge, UK

    Cristina Peñasco & Laura Diaz Anadon

  7. Banque de France, Paris, France

    Cristina Peñasco

Authors
  1. Pete Barbrook-Johnson
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  2. Jean-François Mercure
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  3. Simon Sharpe
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  4. Cristina Peñasco
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  5. Cameron Hepburn
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  6. Laura Diaz Anadon
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  7. J. Doyne Farmer
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  8. Timothy M. Lenton
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Corresponding author

Correspondence to Pete Barbrook-Johnson.

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The authors declare no competing interests.

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Barbrook-Johnson, P., Mercure, JF., Sharpe, S. et al. Economic modelling fit for the demands of energy decision makers. Nat Energy 9, 229–231 (2024). https://doi.org/10.1038/s41560-024-01452-7

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