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Modeling technological change in economic models of climate change: A survey

Author

Listed:
  • Löschel, Andreas
  • Schymura, Michael
Abstract
The assessment of climate change mitigation policies through economic modeling depends crucially on assumptions under which technological change has been incorporated in the model. Earlier climate-energy-economics modeling attempts heavily relied on the assumption of exogenous technological change. In this case, technological change is a function solely of time. However, such an approach seems insufficient, especially given developments in other fields of economic research that have helped to explain in more detail the process of technological change. A lot of research has been done hence on endogenizing technological change in large-scale models. The purpose of this paper is to summarize these efforts. We describe different model types and their treatment of exogenous technological change (autonomous energy efficiency improvements and backstop technologies) and endogenous technological change (including price inducement, learning-by-doing, investments in R & D and directed technical change). We conclude with some open questions and suggestions for future research.

Suggested Citation

  • Löschel, Andreas & Schymura, Michael, 2013. "Modeling technological change in economic models of climate change: A survey," ZEW Discussion Papers 13-007, ZEW - Leibniz Centre for European Economic Research.
    • Handle: RePEc:zbw:zewdip:13007
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    File URL: https://www.econstor.eu/bitstream/10419/69503/1/736275959.pdf
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    Citations

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    Cited by:

    1. Dr. Kirsten S. Wiebe & Dr. Christian Lutz, 2013. "The Renewable Power Generation Module (RPGM) – An extension to the GWS model family to endogenize technological change in the renewable power generation sector," GWS Discussion Paper Series 13-7, GWS - Institute of Economic Structures Research.
    2. Sergey Paltsev & Pantelis Capros, 2013. "Cost Concepts For Climate Change Mitigation," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 4(supp0), pages 1-26.
    3. Soumyananda Dinda, 2018. "Production technology and carbon emission: long-run relation with short-run dynamics," Journal of Applied Economics, Taylor & Francis Journals, vol. 21(1), pages 106-121, January.
    4. Wiebe, Kirsten S. & Lutz, Christian, 2016. "Endogenous technological change and the policy mix in renewable power generation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 739-751.
    5. Di Domenico, Lorenzo & Raberto, Marco & Safarzynska, Karolina, 2023. "Resource scarcity, circular economy and the energy rebound: A macro-evolutionary input-output model," Energy Economics, Elsevier, vol. 128(C).
    6. Claudio Baccianti & Andreas Löschel, 2015. "Investment-specific versus Process Innovation in a CGE Model of Environmental Policy. WWWforEurope Working Paper No. 85," WIFO Studies, WIFO, number 57893.
    7. Dr. Christian Lutz & Dr. Markus Flaute & Dr. Ulrike Lehr & Dr. Kirsten Svenja Wiebe, 2015. "Economic impacts of renewable power generation technologies and the role of endogenous technological change," GWS Discussion Paper Series 15-9, GWS - Institute of Economic Structures Research.
    8. Elberry, Ahmed M. & Garaffa, Rafael & Faaij, André & van der Zwaan, Bob, 2024. "A review of macroeconomic modelling tools for analysing industrial transformation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 199(C).
    9. Kirsten Svenja Wiebe & Ulrike Lehr & Christian Lutz, 2013. "Green change – endogenizing technical progress in the renewable power generation sector," EcoMod2013 5117, EcoMod.

    More about this item

    Keywords

    Exogenous Technical Change; Endogenous Technological Change; Price inducement; Learning-by-doing; Directed Technical Change; Modeling;
    All these keywords.

    JEL classification:

    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water

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