Modelling the diffusion processes of competing technologies is a theme of great interest in many socio-economic contexts. Univariate innovation diffusion models fail to account for competition and substitution dynamics, whose understanding may be crucial both for policy implications and forecasting. In this paper we propose the application of two diffusion models for a duopolistic competition, unrestricted and standard UCRCD, to the annual time series of consumption of nuclear and renewables (wind and solar energy) in Germany. The data suggest a substitution effect between nuclear and renewables. Interestingly, the obtained results confirm this first conjecture and show that renewables exerted a significant and measurable effect in determining the observed decline of nuclear power consumption.

Modelling competition between nuclear power and renewable energy technologies: some results and forecasts for Germany

GUIDOLIN, MARIANGELA;GUSEO, RENATO
2015

Abstract

Modelling the diffusion processes of competing technologies is a theme of great interest in many socio-economic contexts. Univariate innovation diffusion models fail to account for competition and substitution dynamics, whose understanding may be crucial both for policy implications and forecasting. In this paper we propose the application of two diffusion models for a duopolistic competition, unrestricted and standard UCRCD, to the annual time series of consumption of nuclear and renewables (wind and solar energy) in Germany. The data suggest a substitution effect between nuclear and renewables. Interestingly, the obtained results confirm this first conjecture and show that renewables exerted a significant and measurable effect in determining the observed decline of nuclear power consumption.
2015
Proceedings of the 60th World Statistics Congress of the International Statistical Institute, ISI2015
60th ISI World Statistics Congress
978-90-73592-35-3
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3211357
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