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Energy biased technical change: A CGE analysis

descriptionPublicationkeyboard_double_arrow_right Article , Report , Journal , Other literature type , Research , External research report , Preprint 01 Jan 2005 Netherlands, Germany Publisher:Elsevier BVJournal:Resource and Energy Economics, volume 29, pages 137-158 (issn: 0928-7655,

Authors: Andreas Löschel; Rob Dellink; Rob Dellink; Vincent M. Otto;

doi: 10.1016/j.reseneeco.2006.03.004 , 10.2139/ssrn.748746

handle: 1871.1/1c505ea7-775d-418f-a471-a7734c2eb201

Energy biased technical change: A CGE analysis

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Abstract

This paper studies energy bias in technical change. For this purpose, we develop a computable general equilibrium model that builds on endogenous growth models. The model explicitly captures links between energy, the rate and direction of technical change, and the economy. We derive the equilibrium determinants of biased technical change and show the importance of feedback in technical change, substitution possibilities between final goods, and general-equilibrium effects for the equilibrium bias. If the feedback effect is strong, or the substitution elasticity large, or both, our model tends to a corner solution in which only technologies are developed that are appropriate for production of non-energy intensive goods

Countries

Netherlands, Germany

Related Organizations

University of Münster
Germany
Centre for European Economic Research
Vrije Universiteit Amsterdam
Netherlands
Massachusetts Institute of Technology
United States
Organisation For Economic Co-Operation and Development
France

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Keywords

Energiesubstitution, H23, Emissionsrechte, Environmental Economics and Natural Resources, Technischer Fortschritt, Endogener technischer Fortschritt, Environmental Economics and Natural Resources Group, computable general-equilibrium models, Energy, 330 Wirtschaft, Allgemeines Gleichgewicht, Umweltpolitik, Endogenous technical change, environment, Simulation, Theorie, energy, growth, computable general-equilibrium models,endogenous technical change,energy,environment, Environment, Leerstoelgroep Milieu-economie en natuurlijke hulpbronnen, Life Science, D58, O32, O33, model, WIMEK, O38, Computable general-equilibrium models, Computable general-equilibrium models, Endogenous technical change, Energy, Environment, co2 abatement, endogenous technological-change, endogenous technical change, Milieueconomie en Natuurlijke Hulpbronnen, jel: jel:H23, jel: jel:D58, jel: jel:O33, jel: jel:O32, jel: jel:O38, ddc: ddc:330

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	45
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average