G2TT
来源类型FEEM working papers "Note di lavoro" series
规范类型论文
A MERGE Model with Endogenous Technological Change and the Cost of Carbon Stabilization
Socrates Kypreos
发表日期2005
出处Climate Change and Sustainable Development
出版年2005
语种英语
摘要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.
特色分类C61,O30,Q42,Q43
关键词Climate change stabilization policies,Non-linear optimization,Induced technological change,Energy and macroeconomy
URLhttps://www.feem.it/en/publications/feem-working-papers-note-di-lavoro-series/a-merge-model-with-endogenous-technological-change-and-the-cost-of-carbon-stabilization/
来源智库Fondazione Eni Enrico Mattei (Italy)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/117235
推荐引用方式
GB/T 7714
Socrates Kypreos. A MERGE Model with Endogenous Technological Change and the Cost of Carbon Stabilization. 2005.
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