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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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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).33 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.Top 10%

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citations
Citations provided by BIP!
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).
popularity
Popularity provided by BIP!
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
33
Top 10%
Top 10%
Top 10%