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Endogenous learning in European post-Kyoto scenarios: results from applying the market equilibrium model PRIMES

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  • Pantelis Capros
  • Leonidas Mantzos

Abstract

This paper describes the endogenous technical change mechanism that has been incorporated in the PRIMES model and the main quantitative results in post Kyoto CO2 emission reduction scenarios for the EU energy system. The first section presents the learning mechanism as incorporated in the PRIMES model. Section 2 deals with the definition of alternative learning regimes in PRIMES and their impacts on model results. The achievement of the post Kyoto emission reduction target for the EU energy system under the different learning mechanism regimes is examined in Section 3. Finally the paper concludes with the evaluation of the benefits from technology change due to endogenous learning in achieving post Kyoto emission reduction targets.

Suggested Citation

  • Pantelis Capros & Leonidas Mantzos, 2000. "Endogenous learning in European post-Kyoto scenarios: results from applying the market equilibrium model PRIMES," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 14(1/2/3/4), pages 249-261.
    • Handle: RePEc:ids:ijgeni:v:14:y:2000:i:1/2/3/4:p:249-261
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    Cited by:

    1. Liu, Wan-Yu & Chiang, Yi-Hua & Lin, Chun-Cheng, 2022. "Adopting renewable energies to meet the carbon reduction target: Is forest carbon sequestration cheaper?," Energy, Elsevier, vol. 246(C).
    2. Münnich Vass, Miriam, 2017. "Renewable energies cannot compete with forest carbon sequestration to cost-efficiently meet the EU carbon target for 2050," Renewable Energy, Elsevier, vol. 107(C), pages 164-180.
    3. Thomas Betten & Shivenes Shammugam & Roberta Graf, 2020. "Adjustment of the Life Cycle Inventory in Life Cycle Assessment for the Flexible Integration into Energy Systems Analysis," Energies, MDPI, vol. 13(17), pages 1-19, August.

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