Energy technology dynamics

Criqui, Patrick; Martin, Jean Marie; Schrattenholzer, Leo; Kram, Tom; Soete, Luc; Zon, Adriaan van

doi:10.1504/ijgei.2000.004416

Cited by 15 publications

(9 citation statements)

References 21 publications

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“…R&D and installed capacity are important sources of cost reduction and progress in new energy technologies (Skytte et al, 2004;Criqui et al, 2000). However, it can take a long time before a technology evolves from invention to innovation stage and ultimately becomes fully commercialised.…”

Section: Induced Technical Change and Learning Curvesmentioning

confidence: 99%

“…In 1970s and 1980s, the learning curves were also applied in the context of business management, strategy, and organisation studies (BCG, 1970;Dutton and Thomas, 1984;Hall and Howell, 1985;Lieberman, 1987;Spence, 1986;Argote and Epple, 1990). Since 1990s, learning curves have attracted considerable interest for the purpose of technology and policy analysis in general and for application to energy technologies in particular (Papineau, 2006;McDonald and Schrattenholzer, 2001;Criqui et al, 2000;IEA, 2000).…”

Section: Learning Curvesmentioning

confidence: 99%

“…The new paradigm emphasizes how such induced technical change can be achieved. The notion of induced technological progress is particularly relevant for energy and environmental technology issues where the economic, social, and social stakes are high (Criqui et al, 2000;Grubb et al, 2002).…”

Section: Introductionmentioning

confidence: 99%

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Technical Change Theory and Learning Curves: Patterns of Progress in Electricity Generation Technologies

Jamasb¹

2007

The Energy Journal

213

114

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Better understanding of the role of learning by doing and learning by research at different stages of technical progress is important for development of a theory of innovation and designing effective technology policies. This paper presents a comparative analysis of energy technology learning and progress within the framework of Schumpeter's invention-innovation-diffusion paradigm. We estimate learning by doing and research rates for a range of energy technologies in four stages of technical progress. We find learning patterns that are broadly in line with the perceived view of the process of technical progress. Emerging technologies respond slowly to research and development (R&D) and capacity expansion. Evolving technologies exhibit high learning by doing and research rates. Reviving technologies exhibit considerable response to learning by research although they do not face significant market constraints. Mature technologies exhibit similar learning characteristics to emerging technologies. The results point to relative importance of R&D in the process of technological progress. We generally find higher learning by doing than learning by research rates but do not find any development stage where learning by doing alone is the dominant driver of technical change. Also, high capital intensity and market constraints appear to slow down the pace of progress of emerging and evolving technologies. We find little scope for potential substitution between learning by doing and learning by research across the technologies and different stages of their development path. It remains crucial to understand how a technology can be supported in its transition from the emergence stage to a self-sustaining growth path.

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Section: Induced Technical Change and Learning Curvesmentioning

confidence: 99%

Section: Learning Curvesmentioning

confidence: 99%

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Technical Change Theory and Learning Curves: Patterns of Progress in Electricity Generation Technologies

Jamasb¹

2007

The Energy Journal

213

114

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“…Dans la littérature non économétrique, la R&D joue un rôle clé parmi les éléments qui influent sur la direction et le rythme de l'innovation, avec la dynamique d'apprentissage directement liée à la diffusion (Criqui et al, 2000). La question de l'importance relative de ces deux facteurs a été notamment traitée par la littérature sur l'endogénéisation du progrès technique et les courbes d'apprentissage à deux facteurs (Kahouli-Brahmi, 2008 ;Kouvaritakis et al, 2000).…”

Section: Impact Des Politiques Energie / Climat Sur L'innovation Dansunclassified

L’effet des politiques climatiques sur les énergies renouvelables : une revue des études économétriques

Bourgeois¹,

Mathy²,

Menanteau³

2017

Innovations

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La limitation du réchauffement climatique nécessite un déploiement rapide et important des énergies renouvelables (ENR). Des politiques de soutien visant l'innovation et la diffusion de ces technologies ont été mises en oeuvre depuis plus de 20 ans. Il existe aujourd'hui un débat sur leur efficacité environnementale et économique et sur le bon équilibre entre soutien à l'innovation et à la diffusion. Cet article éclaire les enjeux de ce débat en présentant les résultats de la littérature économétrique qui évalue l'effet de ces politiques et en comparant ces résultats avec les principaux enseignements des études non économétriques. Les résultats montrent que les politiques d'innovation et les politiques de diffusion ont un impact positif sur les ENR et confirment en cela les études non économétriques. Ils font toutefois apparaitre des effets différenciés selon la nature des politiques (politiques prix versus politiques quantités) et la maturité des technologies.

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“…Forecasting the future cost development of learning technologies through the hypothetical learning curve is highly desirable for policy-makers, who try to formulate policies and devise strategies regarding these technologies (Abell and Hammond, 1979). This is because, an endogenous decision generates better patterns of technological choices by suitably considering the learning investments and early investment in development of a flourishing technology for greater deployment in later periods (Grübler et al, 1999;IEA, 2000;Criqui et al, 2000) compared to an exogenous decision advocated by many researchers, (Loulou et al, 2005;Alberth, 2007) which does not reckon the cost of experience correctly. Additionally, an endogenous decision determines the benefits of early investment in learning for promoting technology exploitation in later periods, whereas the exogenous decision is suitable from break-even points only.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty in the learning rates of energy technologies: An experiment in a global multi-regional energy system model

et al. 2009

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Energy technology dynamics

Cited by 15 publications

References 21 publications

Technical Change Theory and Learning Curves: Patterns of Progress in Electricity Generation Technologies

Technical Change Theory and Learning Curves: Patterns of Progress in Electricity Generation Technologies

L’effet des politiques climatiques sur les énergies renouvelables : une revue des études économétriques

Uncertainty in the learning rates of energy technologies: An experiment in a global multi-regional energy system model

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