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International Technology Spillovers in Climate-Economy Models: Two Possible Approaches

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  • Enrica De Cian

    (Fondazione Eni Enrico Mattei)

Abstract
This paper analyzes two possible methodologies of modeling international technology spillovers in a climate-economy CGE model. Technological change, by affecting productivity, energy and carbon intensity, eventually influences the amount of CO2 emissions, the costs and the timing of the policies targeted at their reduction. Technological change is here defined so as to include also the diffusion and adoption phase. In an increasingly integrated world, new products and technologies developed in one region will eventually diffuse internationally. The two approaches described in this paper are based on two mechanisms used to model technological change in climate models: learning curves, total factor productivity and the autonomous energy efficient improvement parameter. This paper considers spillovers mediated by international trade in capital goods. In particular, it looks at how imports machinery and equipments from the OECD countries can affect the technology variables related to CO2 emissions: learning rates in the first approach, productivity, energy and carbon intensity in the second one.

Suggested Citation

  • Enrica De Cian, 2006. "International Technology Spillovers in Climate-Economy Models: Two Possible Approaches," Working Papers 2006.141, Fondazione Eni Enrico Mattei.
  • Handle: RePEc:fem:femwpa:2006.141
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    Cited by:

    1. Ligane Massamba Séne & Ousmane Badiane, 2016. "Out-of-pocket health payments: a catalyst for agricultural productivity growth, but with potentially impoverishing effects in Senegal," Review of Agricultural, Food and Environmental Studies, Springer, vol. 97(1), pages 29-49, June.
    2. Richard Perkins & Eric Neumayer, 2009. "How do domestic attributes affect international spillovers of CO2-efficiency?," GRI Working Papers 8, Grantham Research Institute on Climate Change and the Environment.
    3. Hübler, Michael, 2011. "Technology diffusion under contraction and convergence: A CGE analysis of China," Energy Economics, Elsevier, vol. 33(1), pages 131-142, January.
    4. Sene, Ligane Massamba & Badiane, Ousmane, 2015. "Out-of-pocket health payments: a catalyst for agricultural productivity growth, but with potentially impoverishing effects," 2015 Conference, August 9-14, 2015, Milan, Italy 212261, International Association of Agricultural Economists.
    5. Richard Perkins & Eric Neumayer, 2012. "Do recipient country characteristics affect international spillovers of CO 2 -efficiency via trade and foreign direct investment?," Climatic Change, Springer, vol. 112(2), pages 469-491, May.

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    More about this item

    Keywords

    Climate Policy; International Trade; Learning Curves; International Technology Spillovers; Biased Technical Change;
    All these keywords.

    JEL classification:

    • F18 - International Economics - - Trade - - - Trade and Environment
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

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