G2TT
来源类型Book Section
DOI10.1007/978-3-642-22884-1_6
Modeling technological change under increasing returns and uncertainty.
Gritsevskii A; Ermoliev Y; Ermoliev, Y; Makowski, M; Marti, K
发表日期2012
出处Managing Safety of Heterogeneous Systems. Eds. Ermoliev, Y , Makowski, M & Marti, K , Heidelberg: Springer. DOI: 10.1007/978-3-642-22884-1_6 .
出版年2012
语种英语
摘要The aim of this paper is to analyze methodological challenges involved in modeling of endogenous technological changes with increasing returns and uncertainties by using stylized versions of models. Realistic versions of these models are analytically intractable making it difficult to comprehend the interplay of different assumptions on their outcomes. We demonstrate path-dependences of myopic evolutionary approaches, the infeasibility of straightforward "trial-and-error" processes, and the need for adequate long-term policy assistance. We also show why increasing returns and uncertainties radically offset the rationale for postponed investments in new technologies and how stochastic models cope with systemic risks implicitly induced by interdependencies among uncertainties, technologies, the structure of models, and decisions. The paper demonstrates possible misleading character of alternative models of uncertainties. It shows the need for proper modeling of long-term random horizons, corresponding discounting, security constraints and requirements of robustness by using systemic valuations and "distribution free" stochastic programming/optimization.
主题Advanced Systems Analysis (ASA)
URLhttp://pure.iiasa.ac.at/id/eprint/10086/
来源智库International Institute for Applied Systems Analysis (Austria)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/134224
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Gritsevskii A,Ermoliev Y,Ermoliev, Y,et al. Modeling technological change under increasing returns and uncertainty.. 2012.
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