Capital-energy substitution and shifts in factor demand: A meta-analysis
Mark Koetse (),
Henri de Groot () and
Energy Economics, 2008, vol. 30, issue 5, 2236-2251
This paper presents a meta-analysis of capital-energy substitution elasticities. We distinguish between Morishima elasticities, which measure technological substitution potential, and cross-price elasticities, which measure actual percentage changes in capital demand in response to energy price changes. We estimate a meta-regression model with separate coefficients for the two elasticity samples. The results show that the heterogeneity in both the cross-price and Morishima elasticity samples can to a large extent be explained by study differences in, among others, model specification, data characteristics, region and time period. Controlling for potential sources of misspecification and aggregation bias we subsequently calculate short- and long-run elasticities for different regions and time periods. The resulting elasticities show that technological substitution potential is large, especially in the long run for North America. Despite substantial differences across regions and time periods, the estimated cross-price elasticities suggest capital-energy substitutability without exception.
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (122) Track citations by RSS feed
Downloads: (external link)
Full text for ScienceDirect subscribers only
Working Paper: Capital-Energy Substitution and Shifts in Factor Demand: A Meta-Analysis (2006)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:30:y:2008:i:5:p:2236-2251
Access Statistics for this article
Energy Economics is currently edited by R. S. J. Tol, Beng Ang, Lance Bachmeier, Perry Sadorsky, Ugur Soytas and J. P. Weyant
More articles in Energy Economics from Elsevier
Bibliographic data for series maintained by Haili He ().