IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v39y2011i2p844-853.html

Climate change scenarios and Technology Transfer Protocols

Author

Listed:
  • Kypreos, Socrates
  • Turton, Hal

Abstract

We apply a specific version of MERGE-ETL, an integrated assessment model, to study global climate policies supported by Technology Transfer Protocols (TTPs). We model a specific formulation of such a TTP where donor countries finance via carbon tax revenues, the diffusion of carbon-free technologies in developing countries (DCs) and quantify its benefits. Industrialized countries profit from increased technology exports, global diffusion of advanced technology (leading to additional technology learning and cost reductions) and reduced climate damages through the likelihood of greater global participation in a new international agreement. DCs experience increased welfare from access to subsidized technology, and profit from the reduction of damages related to climate change and expected secondary benefits of carbon abatement (such as reduced local and regional air pollution). The analysis identifies potential candidate technologies that could be supported under a TTP, and the impact of a TTP on economic development (including the flow of transfer subsidies) and global emissions. Although a TTP may encourage additional participation, such a proposal is only likely to be successful if an increased willingness to pay to avoid climate damages is accepted, first by the present and future generations of the industrialized world and later on, when sufficient economic growth is accumulated, by today's developing countries.

Suggested Citation

  • Kypreos, Socrates & Turton, Hal, 2011. "Climate change scenarios and Technology Transfer Protocols," Energy Policy, Elsevier, vol. 39(2), pages 844-853, February.
  • Handle: RePEc:eee:enepol:v:39:y:2011:i:2:p:844-853
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301-4215(10)00809-8
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. repec:aen:journl:2007v28-03-a04 is not listed on IDEAS
    2. Kypreos, Socrates, 2007. "A MERGE model with endogenous technological change and the cost of carbon stabilization," Energy Policy, Elsevier, vol. 35(11), pages 5327-5336, November.
    3. Yang, Zili & Nordhaus, William D., 2006. "Magnitude and direction of technological transfers for mitigating GHG emissions," Energy Economics, Elsevier, vol. 28(5-6), pages 730-741, November.
    4. McDonald, Alan & Schrattenholzer, Leo, 2001. "Learning rates for energy technologies," Energy Policy, Elsevier, vol. 29(4), pages 255-261, March.
    5. Ad Seebregts & Tom Kram & Gerrit Jan Schaeffer & Alexandra Bos, 2000. "Endogenous learning and technology clustering: analysis with MARKAL model of the Western European energy system," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 14(1/2/3/4), pages 289-319.
    6. Manne, Alan & Richels, Richard, 2004. "The impact of learning-by-doing on the timing and costs of CO2 abatement," Energy Economics, Elsevier, vol. 26(4), pages 603-619, July.
    7. Nikolaos Kouvaritakis & Patrick Criqui & Claude Thonet, 2000. "World post-Kyoto scenarios: benefits from accelerated technology progress," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 14(1/2/3/4), pages 184-203.
    8. Kypreos, Socrates, 2005. "Modeling experience curves in MERGE (model for evaluating regional and global effects)," Energy, Elsevier, vol. 30(14), pages 2721-2737.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Marcucci, Adriana & Turton, Hal, 2015. "Induced technological change in moderate and fragmented climate change mitigation regimes," Technological Forecasting and Social Change, Elsevier, vol. 90(PA), pages 230-242.
    2. Michael Hübler, 2015. "A theory-based discussion of international technology funding," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 17(2), pages 313-327, April.
    3. Jin, Wei, 2016. "International technology diffusion, multilateral R&D coordination, and global climate mitigation," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 357-372.
    4. Kypreos, Socrates, 2012. "From the Copenhagen Accord to efficient technology protocols," Energy Policy, Elsevier, vol. 44(C), pages 341-353.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kypreos, Socrates, 2012. "From the Copenhagen Accord to efficient technology protocols," Energy Policy, Elsevier, vol. 44(C), pages 341-353.
    2. Karali, Nihan & Park, Won Young & McNeil, Michael, 2017. "Modeling technological change and its impact on energy savings in the U.S. iron and steel sector," Applied Energy, Elsevier, vol. 202(C), pages 447-458.
    3. Kahouli-Brahmi, Sondes, 2008. "Technological learning in energy-environment-economy modelling: A survey," Energy Policy, Elsevier, vol. 36(1), pages 138-162, January.
    4. Yeh, Sonia & Rubin, Edward S., 2007. "A centurial history of technological change and learning curves for pulverized coal-fired utility boilers," Energy, Elsevier, vol. 32(10), pages 1996-2005.
    5. Bello, S. & Reiner, 2024. "Experience Curves for Electrolysis Technologies," Cambridge Working Papers in Economics 2476, Faculty of Economics, University of Cambridge.
    6. Lohwasser, Richard & Madlener, Reinhard, 2013. "Relating R&D and investment policies to CCS market diffusion through two-factor learning," Energy Policy, Elsevier, vol. 52(C), pages 439-452.
    7. Jouvet, Pierre-André & Schumacher, Ingmar, 2012. "Learning-by-doing and the costs of a backstop for energy transition and sustainability," Ecological Economics, Elsevier, vol. 73(C), pages 122-132.
    8. Berglund, Christer & Soderholm, Patrik, 2006. "Modeling technical change in energy system analysis: analyzing the introduction of learning-by-doing in bottom-up energy models," Energy Policy, Elsevier, vol. 34(12), pages 1344-1356, August.
    9. Turton, Hal, 2008. "ECLIPSE: An integrated energy-economy model for climate policy and scenario analysis," Energy, Elsevier, vol. 33(12), pages 1754-1769.
    10. Rubin, Edward S. & Azevedo, Inês M.L. & Jaramillo, Paulina & Yeh, Sonia, 2015. "A review of learning rates for electricity supply technologies," Energy Policy, Elsevier, vol. 86(C), pages 198-218.
    11. Kypreos, Socrates, 2007. "A MERGE model with endogenous technological change and the cost of carbon stabilization," Energy Policy, Elsevier, vol. 35(11), pages 5327-5336, November.
    12. Malte Schwoon, 2006. "Learning-by-doing, Learning Spillovers and the Diffusion of Fuel Cell Vehicles," Working Papers FNU-112, Research unit Sustainability and Global Change, Hamburg University, revised Jun 2006.
    13. Bosetti, Valentina & De Cian, Enrica & Sgobbi, Alessandra & Tavoni, Massimo, 2009. "The 2008 WITCH Model: New Model Features and Baseline," Sustainable Development Papers 55284, Fondazione Eni Enrico Mattei (FEEM).
    14. Kumbaroglu, Gürkan & Madlener, Reinhard & Demirel, Mustafa, 2008. "A real options evaluation model for the diffusion prospects of new renewable power generation technologies," Energy Economics, Elsevier, vol. 30(4), pages 1882-1908, July.
    15. Loschel, Andreas, 2002. "Technological change in economic models of environmental policy: a survey," Ecological Economics, Elsevier, vol. 43(2-3), pages 105-126, December.
    16. Sagar, Ambuj D. & van der Zwaan, Bob, 2006. "Technological innovation in the energy sector: R&D, deployment, and learning-by-doing," Energy Policy, Elsevier, vol. 34(17), pages 2601-2608, November.
    17. Yeh, Sonia & Rubin, Edward S, 2007. "A centurial history of technological change and learning curves or pulverized coal-fired utility boilers," Institute of Transportation Studies, Working Paper Series qt3zz2w2wr, Institute of Transportation Studies, UC Davis.
    18. Yeh, Sonia & Rubin, Edward S., 2007. "A centurial history of technological change and learning curves or pulverized coal-fired utility boilers," Institute of Transportation Studies, Working Paper Series qt1f25b3xq, Institute of Transportation Studies, UC Davis.
    19. 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.
    20. Adriana Marcucci Bustos & Hal Turton, 2012. "Swiss Energy Strategies under Global Climate Change and Nuclear Policy Uncertainty," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 148(II), pages 317-345, June.

    More about this item

    Keywords

    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:enepol:v:39:y:2011:i:2:p:844-853. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/enpol .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.