Facebook LinkedIn Instagram Twitter
Shop
Search
Begin New Search
Proceed to Checkout

Search Results for All:
(Showing results 1 to 2 of 2)



Technological Change for Atmospheric Stabilization: Introductory Overview to the Innovation Modeling Comparison Project

Michael Grubb, Carlo Carraro and John Schellnhuber

Year: 2006
Volume: Endogenous Technological Change
Number: Special Issue #1
DOI: 10.5547/ISSN0195-6574-EJ-VolSI2006-NoSI1-1
No Abstract



The Transition to Endogenous Technical Change in Climate-Economy Models: A Technical Overview to the Innovation Modeling Comparison Project

Jonathan Kohler, Michael Grubb, David Popp and Ottmar Edenhofer 

Year: 2006
Volume: Endogenous Technological Change
Number: Special Issue #1
DOI: 10.5547/ISSN0195-6574-EJ-VolSI2006-NoSI1-2
View Abstract

Abstract:
This paper assesses endogenous technical change (ETC) in climate-economy models, using the models in the Innovation Modeling Comparison Project (IMCP) as a representative cross-section. ETC is now a feature of most leading models. Following the new endogenous growth literature and the application of learning curves to the energy sector, there are two main concepts employed: knowledge capital and learning curves. The common insight is that technical change is driven by the development of knowledge capital and its characteristics of being partly non-rival and partly non-excludable. There are various different implementations of ETC. Recursive CGE models face particular difficulties in incorporating ETC and increasing returns. The main limitations of current models are: the lack of uncertainty analysis; the limited representation of the diffusion of technology; and the homogeneous nature of agents in the models including the lack of representation of institutional structures in the innovation process.





Begin New Search
Proceed to Checkout

 





function toggleAbstract(id) { alert(id); }