FEEM working papers "Note di lavoro" series
2005 .123

A MERGE Model with Endogenous Technological Change and the Cost of Carbon Stabilization


Authors: Socrates Kypreos
Series: Climate Change and Sustainable Development
Editor: Carlo Carraro
Type: Journal
Keywords: Climate change stabilization policies,Non-linear optimization,Induced technological change,Energy and macroeconomy
JEL n.: C61,O30,Q42,Q43
JEL: Energy Policy
Pages: Vol. 35, Issue 11, pp. 5327-5336
Date: 11/2007

Abstract

Two stylized backstop systems with endogenous technological learning formulations (ETL) are introduced in MERGE: one for the electric and the other for the non-electric markets. Then the model is applied to analyze the impacts of ETL on carbon-mitigation policy, contrasting the resulting impacts with the situation without learning. As the model considers endogenous technological change in the energy sector only some exogenous key parameters defining the production function are varied together with the assumed learning rates to check the robustness of our results. Based on model estimations and the sensitivity analyses we conclude that increased commitments for the development of new technologies to advance along their learning curves has a potential for substantial reductions in the cost of climate mitigation helping to reach safe concentrations of carbon in the atmosphere.

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