Technical Change Analysis and Technology Learning Curves: A Nonparametric Frontier Approach

Tooraj  Jamasb; Manuel  Llorca

Technical Change Analysis and Technology Learning Curves: A Nonparametric Frontier Approach

Økonomisk Institut

Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning › peer review

Abstract

In recent decades, there has been a significant rise in interest around technology economics and innovation policy. In the case of energy technologies, some focus has been on the notion of learning curves. Learning curves are used to evaluate technical change as a consequence of innovative activities. The use of econometric techniques has been
common to analyse learning curves and estimate learning rates. Learning rates serve to assess the reduction in the unit cost of production as a function of the increase in accumulated experience. However, the results of applying econometric methods are often constrained by small sample size and correlations among explanatory variables. Also,
the obtained results are limited to measures of historical averages rather than capturing the path of technical progress.

Originalsprog	Engelsk
Titel	Mapping the Energy Future - Voyage in Uncharted Territory : Proceedings of the 43rd IAEE International Conference
Antal sider	1
Udgivelsessted	Cleveland, OH
Forlag	International Association for Energy Economics
Publikationsdato	2022
Status	Udgivet - 2022
Begivenhed	43th IAEE International Conference 2022: Mapping the Energy Future - Voyage in Uncharted Territory - Tokyo, Japan Varighed: 31 jul. 2022 → 4 aug. 2022 Konferencens nummer: 43 https://iaee2022.org/

Konference

Konference	43th IAEE International Conference 2022
Nummer	43
Land/Område	Japan
By	Tokyo
Periode	31/07/2022 → 04/08/2022
Internetadresse	https://iaee2022.org/

Navn	IAEE Conference Proceedings
ISSN	2707-6075

Adgang til dokumentet

https://www.iaee.org/proceedings/article/17726Licens: Ikke-specificeret

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Citationsformater

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abstract = "In recent decades, there has been a significant rise in interest around technology economics and innovation policy. In the case of energy technologies, some focus has been on the notion of learning curves. Learning curves are used to evaluate technical change as a consequence of innovative activities. The use of econometric techniques has beencommon to analyse learning curves and estimate learning rates. Learning rates serve to assess the reduction in the unit cost of production as a function of the increase in accumulated experience. However, the results of applying econometric methods are often constrained by small sample size and correlations among explanatory variables. Also,the obtained results are limited to measures of historical averages rather than capturing the path of technical progress.",

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publisher = "International Association for Energy Economics",

booktitle = "Mapping the Energy Future - Voyage in Uncharted Territory",

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Jamasb, T & Llorca, M 2022, Technical Change Analysis and Technology Learning Curves: A Nonparametric Frontier Approach. i Mapping the Energy Future - Voyage in Uncharted Territory: Proceedings of the 43rd IAEE International Conference. International Association for Energy Economics, Cleveland, OH, IAEE Conference Proceedings, 43th IAEE International Conference 2022, Tokyo, Japan, 31/07/2022. <https://www.iaee.org/proceedings/article/17726>

Technical Change Analysis and Technology Learning Curves: A Nonparametric Frontier Approach. / Jamasb, Tooraj ; Llorca, Manuel .
Mapping the Energy Future - Voyage in Uncharted Territory: Proceedings of the 43rd IAEE International Conference. Cleveland, OH: International Association for Energy Economics, 2022. (IAEE Conference Proceedings).

Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning › peer review

TY - ABST

T1 - Technical Change Analysis and Technology Learning Curves

T2 - 43th IAEE International Conference 2022

AU - Jamasb, Tooraj

AU - Llorca, Manuel

N1 - Conference code: 43

PY - 2022

Y1 - 2022

N2 - In recent decades, there has been a significant rise in interest around technology economics and innovation policy. In the case of energy technologies, some focus has been on the notion of learning curves. Learning curves are used to evaluate technical change as a consequence of innovative activities. The use of econometric techniques has beencommon to analyse learning curves and estimate learning rates. Learning rates serve to assess the reduction in the unit cost of production as a function of the increase in accumulated experience. However, the results of applying econometric methods are often constrained by small sample size and correlations among explanatory variables. Also,the obtained results are limited to measures of historical averages rather than capturing the path of technical progress.

AB - In recent decades, there has been a significant rise in interest around technology economics and innovation policy. In the case of energy technologies, some focus has been on the notion of learning curves. Learning curves are used to evaluate technical change as a consequence of innovative activities. The use of econometric techniques has beencommon to analyse learning curves and estimate learning rates. Learning rates serve to assess the reduction in the unit cost of production as a function of the increase in accumulated experience. However, the results of applying econometric methods are often constrained by small sample size and correlations among explanatory variables. Also,the obtained results are limited to measures of historical averages rather than capturing the path of technical progress.

M3 - Conference abstract in proceedings

T3 - IAEE Conference Proceedings

BT - Mapping the Energy Future - Voyage in Uncharted Territory

PB - International Association for Energy Economics

CY - Cleveland, OH

Y2 - 31 July 2022 through 4 August 2022

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