EconPapers    
Economics at your fingertips  
 

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

Tooraj Jamasb

The Energy Journal, 2007, vol. 28, issue 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.

Keywords: Energy technology; technical change; learning curves; electricity generation; R&D (search for similar items in EconPapers)
Date: 2007
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://journals.sagepub.com/doi/10.5547/ISSN0195-6574-EJ-Vol28-No3-4 (text/html)

Related works:
Journal Article: Technical Change Theory and Learning Curves: Patterns of Progress in Electricity Generation Technologies (2007) Downloads
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:sae:enejou:v:28:y:2007:i:3:p:51-72

DOI: 10.5547/ISSN0195-6574-EJ-Vol28-No3-4

Access Statistics for this article

More articles in The Energy Journal
Bibliographic data for series maintained by SAGE Publications ().

 
Page updated 2025-04-05
Handle: RePEc:sae:enejou:v:28:y:2007:i:3:p:51-72