Capital-Energy Substitution and Shifts in Factor Demand: A Meta-Analysis
AbstractThis paper presents results of a meta-regression analysis on empirical estimates of capital-energy substitution. Theoretically it is clear that a distinction should be made between Morishima substitution elasticities and cross-price elasticities. The former represent purely technical substitution possibilities while the latter include an income effect and therefore represent economic substitution potential. We estimate a meta-regression model with separate coefficients for the two elasticity samples. Our findings suggest that primary model assumptions on returns to scale, technological change and separability of input factors matter for the outcome of a primary study. Aggregation of variables and the type of data used in empirical research are also relevant sources of systematic effect-size variation. Taking these factors into consideration, we compute ideal-typical elasticities for the short, medium and long run. The resulting figures clearly show that s! ubstitution elasticities are substantially higher than cross price elasticities. Therefore, despite considerable technical opportunities for capital-energy substitution, they are almost entirely outweighed by the negative income effect brought about by energy price increases; the short and medium run cross price elasticities are not statistically different from zero. In the long run this pattern does not hold. Our findings therefore suggest that actual changes in the demand for capital due to energy price increases take time.
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Bibliographic InfoPaper provided by Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number 06-061/3.
Date of creation: 01 Jul 2006
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Web page: http://www.tinbergen.nl
production function; capital-energy substitution; cross-price elasticity; Morishima substitution elasticity; meta-analysis;
Other versions of this item:
- Koetse, Mark J. & de Groot, Henri L.F. & Florax, Raymond J.G.M., 2008. "Capital-energy substitution and shifts in factor demand: A meta-analysis," Energy Economics, Elsevier, vol. 30(5), pages 2236-2251, September.
- C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
- D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
- D33 - Microeconomics - - Distribution - - - Factor Income Distribution
- E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
- O33 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
- Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2006-09-11 (All new papers)
- NEP-ENE-2006-09-11 (Energy Economics)
- NEP-MAC-2006-09-11 (Macroeconomics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Kuper, Gerard H. & van Soest, Daan P., 2003. "Path-dependency and input substitution: implications for energy policy modelling," Energy Economics, Elsevier, vol. 25(4), pages 397-407, July.
- Abay Mulatu & Raymond J.G.M. Florax & Cees A. Withagen, 2004. "Environmental Regulation and International Trade," Tinbergen Institute Discussion Papers 04-020/3, Tinbergen Institute.
Blog mentionsAs found by EconAcademics.org, the blog aggregator for Economics research:
- Estimating a Two-Equation Model of the Swedish Economy
by David Stern in Stochastic Trend on 2009-08-26 05:20:00
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