Technical Change Theory and Learning Curves: Patterns of Progress in Electricity Generation Technologies
Tooraj Jamasb
The Energy Journal, 2007, vol. Volume 28, issue Number 3, 51-72
Abstract:
Better understanding of the role of learning in technical progress is important for the development of innovation theory and technology policy. This paper presents a comparative analysis of the effect of learning and technical change in electricity generation technologies. We use simultaneous two-factor learning and diffusion models to estimate the effect of learning by doing and learning by research on technical progress for a range of technologies in four stages of development. We find learning patters broadly in line with the perceived view of technical progress. The results generally show higher learning by research than learning by doing rates. Moreover, we do not find any development stage where learning by doing is stronger than learning by research. We show that simple learning by doing curves overstate the effect of learning in particular for newer technologies. Finally, we find little substitution potential between learning by doing and research for most technologies.
JEL-codes: F0 (search for similar items in EconPapers)
Date: 2007
References: Add references at CitEc
Citations: View citations in EconPapers (111)
Downloads: (external link)
http://www.iaee.org/en/publications/ejarticle.aspx?id=2221 (text/html)
Access to full text is restricted to IAEE members and subscribers.
Related works:
Journal Article: Technical Change Theory and Learning Curves: Patterns of Progress in Electricity Generation Technologies (2007) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:aen:journl:2007v28-03-a04
Ordering information: This journal article can be ordered from
http://www.iaee.org/en/publications/ejsearch.aspx
Access Statistics for this article
More articles in The Energy Journal from International Association for Energy Economics Contact information at EDIRC.
Bibliographic data for series maintained by David Williams ().