G2TT
来源类型FEEM working papers "Note di lavoro" series
规范类型论文
Learning by Doing vs Learning by Researching in a Model of Climate Change Policy Analysis
Marzio Galeotti; Efrem Castelnuovo; Gretel Gambarelli; Sergio Vergalli
发表日期2003
出处Climate Change and Sustainable Development
出版年2003
语种英语
摘要Many predictions and conclusions in the climate change literature have been made and drawn on the basis of theoretical analyses and quantitative models that assume exogenous technological change. One is naturally led to wonder whether those conclusions and policy prescriptions hold in the more realistic case of endogenously evolving technologies. In previous work we took a popular integrated assessment model and modified it so as to allow for an explicit role of the stock of knowledge which accumulates through R&D investment. In our formulation knowledge affects both the output production technology and the emission-output ratio. In this paper we make further progress in our efforts aimed to model the process of technological change. In keeping with recent theories of endogenous growth, we specify two ways in which knowledge accumulates: via a deliberate, optimally selected R&D decision or via experience, giving rise to Learning by Doing. As an illustration, we simulate the model under the two versions of endogenous technical change and look at the dynamics of a selected number of relevant variables, including growth rates of GDP and physical capital, as well as total emissions and rate of domestic abatement.
特色分类H0,H2,H3
关键词Climate Policy,Environmental Modeling,Integrated Assessment,Technical Change
URLhttps://www.feem.it/en/publications/feem-working-papers-note-di-lavoro-series/learning-by-doing-vs-learning-by-researching-in-a-model-of-climate-change-policy-analysis/
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/116839
推荐引用方式
GB/T 7714
Marzio Galeotti,Efrem Castelnuovo,Gretel Gambarelli,et al. Learning by Doing vs Learning by Researching in a Model of Climate Change Policy Analysis. 2003.
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