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Learning-by-Doing in the Renewable Energy Equipment Industry or in Renewable Electricity Production: Why Does It Matter to Differentiate?

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  • Katja Schumacher
  • Michael Kohlhaas

Abstract

In economic models of energy and climate policy, endogenous technological change is generally introduced as the result of either investment in research-and-development or of learning-by-doing. In this paper, we analyze alternative ways of modeling learning-by-doing in the renewable energy sector in a top-down CGE model. Conventionally, learning-by-doing effects in the renewable energy sector are allocated to the production of renewable based electricity. We build on the observation that learning-by-doing also takes place in sectors that deliver capital goods to the renewable electricity sector, in particular in the production of machinery and equipment for renewable energy technologies. We therefore implement learning-by-doing alternatively in the renewable energy equipment industry and in renewable electricity production and show why it matters to differentiate between these two approaches. The main differences originate from effects on international trade, since the output of the machinery and equipment sector is intensively traded on international markets unlike renewable electricity.

Suggested Citation

  • Katja Schumacher & Michael Kohlhaas, 2007. "Learning-by-Doing in the Renewable Energy Equipment Industry or in Renewable Electricity Production: Why Does It Matter to Differentiate?," Discussion Papers of DIW Berlin 692, DIW Berlin, German Institute for Economic Research.
  • Handle: RePEc:diw:diwwpp:dp692
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    References listed on IDEAS

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    1. Alwyn Young, 1991. "Learning by Doing and the Dynamic Effects of International Trade," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(2), pages 369-405.
    2. Vollebergh, Herman R.J. & Kemfert, Claudia, 2005. "The role of technological change for a sustainable development," Ecological Economics, Elsevier, vol. 54(2-3), pages 133-147, August.
    3. Alwyn Young, 1991. "Learning by Doing and the Dynamic Effects of International Trade," NBER Working Papers 3577, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Joan Canton & Åsa Johannesson Lindén, 2010. "Support schemes for renewable electricity in the EU," European Economy - Economic Papers 2008 - 2015 408, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    2. Beck, Marisa & Rivers, Nicholas & Wigle, Randall, 2018. "How do learning externalities influence the evaluation of Ontario's renewables support policies?," Energy Policy, Elsevier, vol. 117(C), pages 86-99.

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    JEL classification:

    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • C68 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computable General Equilibrium Models
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • F10 - International Economics - - Trade - - - General

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