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The WITCH 2016 Model - Documentation and Implementation of the Shared Socioeconomic Pathways

Author

Listed:
  • Johannes Emmerling

    (Fondazione Eni Enrico Mattei (FEEM) and Centro Euromediterraneo sui Cambiamenti Climatici (CMCC), Italy)

  • Laurent Drouet

    (Fondazione Eni Enrico Mattei (FEEM) and Centro Euromediterraneo sui Cambiamenti Climatici (CMCC), Italy)

  • Lara Aleluia Reis

    (Fondazione Eni Enrico Mattei (FEEM) and Centro Euromediterraneo sui Cambiamenti Climatici (CMCC), Italy)

  • Michela Bevione

    (Fondazione Eni Enrico Mattei (FEEM) and Centro Euromediterraneo sui Cambiamenti Climatici (CMCC), Italy)

  • Loic Berger

    (Fondazione Eni Enrico Mattei (FEEM) and Centro Euromediterraneo sui Cambiamenti Climatici (CMCC), Italy Bureau Fédéral du Plan, Belgium)

  • Valentina Bosetti

    (Fondazione Eni Enrico Mattei (FEEM) and Centro Euromediterraneo sui Cambiamenti Climatici (CMCC), Italy, Bocconi University, Italy)

  • Samuel Carrara

    (Fondazione Eni Enrico Mattei (FEEM) and Centro Euromediterraneo sui Cambiamenti Climatici (CMCC), Italy)

  • Enrica De Cian

    (Fondazione Eni Enrico Mattei (FEEM) and Centro Euromediterraneo sui Cambiamenti Climatici (CMCC), Italy)

  • Gauthier De Maere D'Aertrycke

    (Fondazione Eni Enrico Mattei (FEEM) and Centro Euromediterraneo sui Cambiamenti Climatici (CMCC), Italy, Engie, Belgium)

  • Tom Longden

    (Fondazione Eni Enrico Mattei (FEEM) and Centro Euromediterraneo sui Cambiamenti Climatici (CMCC), Italy, University of Technology Sydney, Australia)

  • Maurizio Malpede

    (Fondazione Eni Enrico Mattei (FEEM) and Centro Euromediterraneo sui Cambiamenti Climatici (CMCC), Italy)

  • Giacomo Marangoni

    (Fondazione Eni Enrico Mattei (FEEM) and Centro Euromediterraneo sui Cambiamenti Climatici (CMCC), Italy)

  • Fabio Sferra

    (Fondazione Eni Enrico Mattei (FEEM) and Centro Euromediterraneo sui Cambiamenti Climatici (CMCC), Italy, Climate Analytics, Germany)

  • Massimo Tavoni

    (Fondazione Eni Enrico Mattei (FEEM) and Centro Euromediterraneo sui Cambiamenti Climatici (CMCC), Italy, Politecnico di Milano, Italy)

  • Jan Witajewski-Baltvilks

    (Fondazione Eni Enrico Mattei (FEEM) and Centro Euromediterraneo sui Cambiamenti Climatici (CMCC), Italy, Institute for Structural Research, Poland)

  • Petr Havlik

    (International Institute for Applied Systems Analysis (IIASA), Austria)

Abstract

This paper describes the WITCH - World Induced Technical Change Hybrid - model in its structure, calibration, and the implementation of the SSP/RCP scenario implementation. The WITCH model is a regionally disaggregated hard-linked model based on a Ramsey type optimal growth model and a detailed bottom-up energy sector model. A particular focus of the model is the modeling or technical change and RnD investments and the analysis of cooperative and non-cooperative climate policies. Moreover, the WITCH 2016 version now includes land-use change modeling based on the GLOBIOM model, and air pollutants, as well as detailed modeling of the transport sector and the possibility for stochastic modeling. This version has been also used to implement the Shared Socioeconomic Pathways (SSPs) set of scenarios and RCP based climate policies to provide a new set of climate scenarios. In this paper, we describe in detail the mathematical formulation of the WITCH model, the solution method and calibration, as well as the implementation of the five SSP scenarios. This report therefore provides detailed information for interested users of the model, and for understanding the implementation of the different “worlds" of the SSP.

Suggested Citation

  • Johannes Emmerling & Laurent Drouet & Lara Aleluia Reis & Michela Bevione & Loic Berger & Valentina Bosetti & Samuel Carrara & Enrica De Cian & Gauthier De Maere D'Aertrycke & Tom Longden & Maurizio M, 2016. "The WITCH 2016 Model - Documentation and Implementation of the Shared Socioeconomic Pathways," Working Papers 2016.42, Fondazione Eni Enrico Mattei.
  • Handle: RePEc:fem:femwpa:2016.42
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    References listed on IDEAS

    as
    1. Emanuele Massetti & Fabio Sferra, 2010. "A Numerical Analysis of Optimal Extraction and Trade of Oil under Climate Policy," Working Papers 2010.113, Fondazione Eni Enrico Mattei.
    2. Pietzcker, Robert Carl & Stetter, Daniel & Manger, Susanne & Luderer, Gunnar, 2014. "Using the sun to decarbonize the power sector: The economic potential of photovoltaics and concentrating solar power," Applied Energy, Elsevier, vol. 135(C), pages 704-720.
    3. Susmita Dasgupta & Benoit Laplante & David Wheeler & Brian Blankespoor, 2010. "The Economics of Adaptation to Extreme Weather Events in Developing Countries," Working Papers id:2509, eSocialSciences.
    4. Bosetti, Valentina & Longden, Thomas, 2013. "Light duty vehicle transportation and global climate policy: The importance of electric drive vehicles," Energy Policy, Elsevier, vol. 58(C), pages 209-219.
    5. Nordhaus, William D & Yang, Zili, 1996. "A Regional Dynamic General-Equilibrium Model of Alternative Climate-Change Strategies," American Economic Review, American Economic Association, vol. 86(4), pages 741-765, September.
    6. Valentina Bosetti & Emanuele Massetti & Massimo Tavoni, 2007. "The WITCH Model. Structure, Baseline, Solutions," Working Papers 2007.10, Fondazione Eni Enrico Mattei.
    7. Enrica De Cian & Valentina Bosetti & Alessandra Sgobbi & Massimo Tavoni, 2009. "The 2008 WITCH Model: New Model Features and Baseline," Working Papers 2009.85, Fondazione Eni Enrico Mattei.
    8. Longden, Thomas, 2014. "Travel intensity and climate policy: The influence of different mobility futures on the diffusion of battery integrated vehicles," Energy Policy, Elsevier, vol. 72(C), pages 219-234.
    9. Stern, David I., 2012. "Modeling international trends in energy efficiency," Energy Economics, Elsevier, vol. 34(6), pages 2200-2208.
    10. Shardul Agrawala & Francesco Bosello & Carlo Carraro & Kelly De Bruin & Enrica De Cian & Rob Dellink & Elisa Lanzi, 2011. "Plan Or React? Analysis Of Adaptation Costs And Benefits Using Integrated Assessment Models," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 2(03), pages 175-208.
    11. Söderholm, Patrik & Sundqvist, Thomas, 2007. "Empirical challenges in the use of learning curves for assessing the economic prospects of renewable energy technologies," Renewable Energy, Elsevier, vol. 32(15), pages 2559-2578.
    12. Webster, Mort & Paltsev, Sergey & Reilly, John, 2008. "Autonomous efficiency improvement or income elasticity of energy demand: Does it matter?," Energy Economics, Elsevier, vol. 30(6), pages 2785-2798, November.
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    More about this item

    Keywords

    Integrated Assessment Model; SSPs; Climate Change; Scenarios;
    All these keywords.

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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