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Long Run Technical Change in an Energy-Environment-Economy (E3) Model for an IA System: A Model of Kondratiev Waves

Authors: Jonathan Köhler;

Long Run Technical Change in an Energy-Environment-Economy (E3) Model for an IA System: A Model of Kondratiev Waves

Abstract

A world macroeconomic model E3MG is being developed to investigate policies for climate change and sustainable development, as a module of a new IAM structure. As climate change is a long term phenomenon, a model of long term economic changes is required. There is no suitable and generally accepted theory of long term technical change, but Freeman and Louca [1] have developed a good descriptive theory. This paper interprets this theory in quantitative terms, in the context of the macroeconomic analysis. It will outline a model of the changes in economic structure via Input-Output coefficients and the growth of new technology industries, incorporating endogenous technical change from R&D and investment, with learning-by-doing.

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    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
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Found an issue? Give us feedback
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
33
Top 10%
Top 10%
Top 10%