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Endogenous technological change and emissions: the case of the German steel industry

โœ Scribed by Christian Lutz; Bernd Meyer; Carsten Nathani; Joachim Schleich


Publisher
Elsevier Science
Year
2005
Tongue
English
Weight
265 KB
Volume
33
Category
Article
ISSN
0301-4215

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โœฆ Synopsis


The paper starts from the observation that innovation and technical progress are only portrayed superficially in the predominant environmental economic top-down models, and that the assumption of perfect factor substitution does not correctly mirror actual production conditions in many energy-intensive production sectors. Bottom-up models, on the other hand, neglect macroeconomic interdependencies between the modelled sector and the general economy. This paper presents a new modelling approach: in an integrated bottom-up/top-down approach based on the example of crude steel production in Germany, it is demonstrated how technological progress can be portrayed as process-related and policy-induced and how the technology choice between limitational processes can be explicitly modelled and implemented in the econometric input-output model PANTA RHEI. The new modelling approach presented permits a process-specific analysis of the impacts of changed frame conditions, the effects of which on the choice of technology, on the one hand, and the technological progress on the other, can be described endogenous to the model. These features are demonstrated in a CO 2 tax simulation. Results show that policy-induced technological change is-besides a switch in production processes-the major source of CO 2 reduction for the steel sector.


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Two stylized backstop systems with endogenous technological learning (ETL) are introduced in the ''model for evaluating regional and global effects'' (MERGE): one for the electric and the other for the non-electric markets. Then the model is applied to analyze the impacts of ETL on carbon-mitigation