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The Dynamics of Carbon and Energy Intensity in a Model of Endogenous Technical Change

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  • Valentina Bosetti, Carlo Carraro and Marzio Galeotti
Abstract
In recent years, a large number of papers have explored different attempts to endogenise technical change in climate models. This recent literature has emphasized that four factors Ð two inputs and two outputs Ð should play a major role when modeling technical change in climate models. The two inputs are R&D investments and Learning by Doing, the two outputs are energy-saving and fuel switching. Indeed, R&D investments and Learning by Doing are the main drivers of a climate-friendly technical change that eventually affect both energy intensity and fuel-mix. In this paper, we present and discuss an extension of the FEEM-RICE model in which these four factors are explicitly accounted for. In our new specification of endogenous technical change, an index of energy technical change depends on both Learning by Researching and Learning by Doing. This index enters the equations defining energy intensity (i.e. the amount of carbon energy required to produce one unit of output) and carbon intensity (i.e. the level of carbonization of primarily used fuels). This new specification is embodied in the RICE 99 integrated assessment climate model and then used to generate a baseline scenario and to analyze the relationship between climate policy and technical change. Sensitivity analysis is performed on different key parameters of the energy module in order to obtain crucial insights into the relative importance of the main channels through which technological changes affects the impact of human activities on climate.

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  • Valentina Bosetti, Carlo Carraro and Marzio Galeotti, 2006. "The Dynamics of Carbon and Energy Intensity in a Model of Endogenous Technical Change," The Energy Journal, International Association for Energy Economics, vol. 0(Special I), pages 191-206.
    • Handle: RePEc:aen:journl:2006se-a09
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    References listed on IDEAS

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    1. Popp, David, 2004. "ENTICE: endogenous technological change in the DICE model of global warming," Journal of Environmental Economics and Management, Elsevier, vol. 48(1), pages 742-768, July.
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    7. Leonardo Barreto, Socrates Kypreos, 2002. "Multi-regional technological learning in the energysystems MARKAL model," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 17(3), pages 189-213.
    8. Marzio Galeotti & Carlo Carraro, 2004. "Does Endogenous Technical Change Make a Difference in Climate Policy Analysis? A Robustness Exercise with the FEEM-RICE Model," Working Papers 2004.152, Fondazione Eni Enrico Mattei.
    9. Marzio Galeotti, 2003. "Environment and Economic Growth: Is Technical Change the Key to Decoupling?," Working Papers 2003.90, Fondazione Eni Enrico Mattei.
    10. Valentina Bosetti & Marzio Galeotti & Alessandro Lanza, 2006. "How consistent are alternative short-term climate policies with long-term goals?," Climate Policy, Taylor & Francis Journals, vol. 6(3), pages 295-312, May.
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