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FTT-FLEX : Flexible Technology Diffusion Analysis Tool for Data Poor Countries

Author

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  • Unnada Chewpreecha
  • Dennig,Francis
  • Hansen,Ib

Abstract

To achieve substantial emission reductions, widespread low-carbon technology adoption is vital. The process by which new technologies are developed and adopted and how their costs evolve is critical to understanding decarbonization. Modeling of this process requires a tool that realistically describes several phenomena related to technology adoption in different sectors, including technology diffusion, investment decisions, evolution of technology costs, and technology lock-in, among others. This paper introduces FTT-FLEX, a simplification of the Future Technology Transformation model. FTT-FLEX is suitable for application as a single-country, standalone tool or in connection with a macroeconomic model. FTT-FLEX captures the core country-level of features of Future Technology Transformation (knowledge spillovers as the driver of technology cost and inertia in the adoption of new technologies) as they pertain to an individual country and greatly reduces the data required as compared with the global Future Technology Transformation model. As presented, FTT-FLEX is a natural complement to country-specific macroeconomic models that analyze the decarbonization of key emitting sectors in small developing countries. The utility of F TT-FLEX is demonstrated by a decarbonization analysis for the power sector in Guinea-Bissau.

Suggested Citation

  • Unnada Chewpreecha & Dennig,Francis & Hansen,Ib, 2024. "FTT-FLEX : Flexible Technology Diffusion Analysis Tool for Data Poor Countries," Policy Research Working Paper Series 10767, The World Bank.
  • Handle: RePEc:wbk:wbrwps:10767
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    References listed on IDEAS

    as
    1. Mercure, J.-F. & Pollitt, H. & Chewpreecha, U. & Salas, P. & Foley, A.M. & Holden, P.B. & Edwards, N.R., 2014. "The dynamics of technology diffusion and the impacts of climate policy instruments in the decarbonisation of the global electricity sector," Energy Policy, Elsevier, vol. 73(C), pages 686-700.
    2. Jean-François Mercure, 2015. "An age structured demographic theory of technological change," Journal of Evolutionary Economics, Springer, vol. 25(4), pages 787-820, September.
    3. Gregor Semieniuk & Philip B. Holden & Jean-Francois Mercure & Pablo Salas & Hector Pollitt & Katharine Jobson & Pim Vercoulen & Unnada Chewpreecha & Neil R. Edwards & Jorge E. Viñuales, 2022. "Stranded fossil-fuel assets translate to major losses for investors in advanced economies," Nature Climate Change, Nature, vol. 12(6), pages 532-538, June.
    4. Mercure, Jean-François, 2012. "FTT:Power : A global model of the power sector with induced technological change and natural resource depletion," Energy Policy, Elsevier, vol. 48(C), pages 799-811.
    5. World Bank, 2023. "Scaling Up to Phase Down: Financing Energy Transitions in the Power Sector," World Bank Publications - Reports 39689, The World Bank Group.
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