Technological Change and Energy Demand in Europe
The aim of this paper is the econometric analysis of embodied and induced technological change that reduces energy input and CO2 emissions in production. For this purpose, a model of unit costs and factor demand for 35 industries in 23 EU countries has been set up, based on the World Input-Output Database (WIOD). The deterministic trend usually applied for describing the factor bias for energy is replaced by a mixed term of energy efficiency of physical production capacity and a trend in three energy intensive industries. This new variable for energy saving technological change is linked to the vintage structure of installed capital. By this link technological change becomes induced, if capital and energy are substitutes. If energy and capital are complements, this technological change can only be enforced by measures that accelerate the path of renovating the capital stock. Within the three energy intensive industries we identify one, where induced technological change is energy saving, but energy and capital are complements (pulp and paper), one where energy and capital are very weak substitutes, but technological change is energy using (non-metallic minerals) and one, where energy and capital are substitutes and technological change is energy saving (basic metals). Only in this latter case, price induced technological change can contribute significantly to fossil energy and emission reduction.
|Date of creation:||08 May 2012|
|Date of revision:|
|Contact details of provider:|| Postal: Arsenal Object 20, A-1030 Wien|
Phone: (+43 1) 798 26 01-0
Fax: (+43 1) 798 93 86
Web page: http://www.wifo.ac.at/
More information through EDIRC
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.:
- William A. Pizer & David Popp, 2007.
"Endogenizing Technological Change: Matching Empirical Evidence to Modeling Needs,"
NBER Working Papers
13053, National Bureau of Economic Research, Inc.
- Pizer, William A. & Popp, David, 2008. "Endogenizing technological change: Matching empirical evidence to modeling needs," Energy Economics, Elsevier, vol. 30(6), pages 2754-2770, November.
- Pizer, William A. & Popp, David, 2007. "Endogenizing Technological Change: Matching Empirical Evidence to Modeling Needs," Discussion Papers dp-07-11, Resources For the Future.
- Jaffe, Adam B. & Newell, Richard G. & Stavins, Robert N., 2003. "Chapter 11 Technological change and the environment," Handbook of Environmental Economics, in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 1, chapter 11, pages 461-516 Elsevier.
- Berndt, Ernst R. & Hesse, Dieter M., 1986. "Measuring and assessing capacity utilization in the manufacturing sectors of nine oecd countries," European Economic Review, Elsevier, vol. 30(5), pages 961-989, October.
- Otto, Vincent M. & Löschel, Andreas & Reilly, John, 2008. "Directed technical change and differentiation of climate policy," Energy Economics, Elsevier, vol. 30(6), pages 2855-2878, November.
- Jin, Hui & Jorgenson, Dale W., 2010. "Econometric modeling of technical change," Journal of Econometrics, Elsevier, vol. 157(2), pages 205-219, August.
- Ernst Berndt & Charles Kolstad & Jong-Kun Lee, 1993. "Measuring the Energy Efficiency and Productivity Impacts of Embodied Technical Change," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 33-56.
- Dale W. Jorgenson, 1984. "The Role of Energy in Productivity Growth," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 11-26.
- Jorgenson, Dale W, 1984. "The Role of Energy in Productivity Growth," American Economic Review, American Economic Association, vol. 74(2), pages 26-30, May.
- Sue Wing, Ian, 2006. "Representing induced technological change in models for climate policy analysis," Energy Economics, Elsevier, vol. 28(5-6), pages 539-562, November.
- Banerjee, Anindya & Galbraith, John W & Dolado, Juan, 1990. "Dynamic Specification and Linear Transformations of the Autoregressive-Distributed Lag Model," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(1), pages 95-104, February.
- Mulder, Peter & de Groot, Henri L. F. & Hofkes, Marjan W., 2003. "Explaining slow diffusion of energy-saving technologies; a vintage model with returns to diversity and learning-by-using," Resource and Energy Economics, Elsevier, vol. 25(1), pages 105-126, February.
- David Popp, 2002. "Induced Innovation and Energy Prices," American Economic Review, American Economic Association, vol. 92(1), pages 160-180, March.
- Valentina Bosetti & Carlo Carraro & Marzio Galeotti & Emanuele Massetti & Massimo Tavoni, 2006. "WITCH. A World Induced Technical Change Hybrid Model," Working Papers 2006_46, Department of Economics, University of Venice "Ca' Foscari".
When requesting a correction, please mention this item's handle: RePEc:wfo:wpaper:y:2012:i:427. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ilse Schulz)
If references are entirely missing, you can add them using this form.