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

29 Pages Posted: 7 Nov 2005

See all articles by Socrates Kypreos

Socrates Kypreos

Paul Scherrer Institute (PSI) - Energy Economics Group

Date Written: October 2005

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.

Keywords: Climate change stabilization policies, Non-linear optimization, Induced technological change, Energy and macroeconomy

JEL Classification: C61, O30, Q42, Q43

Suggested Citation

Kypreos, Socrates, A Merge Model with Endogenous Technological Change and the Cost of Carbon Stabilization (October 2005). FEEM Working Paper No. 123.05, Available at SSRN: https://ssrn.com/abstract=840565 or http://dx.doi.org/10.2139/ssrn.840565

Socrates Kypreos (Contact Author)

Paul Scherrer Institute (PSI) - Energy Economics Group ( email )

5232 Villigen PSI
Switzerland

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