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The German energy transition: Modeling competition and substitution between nuclear power and Renewable Energy Technologies

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  • Guidolin, Mariangela
  • Guseo, Renato

Abstract

This paper studies some quantitative aspects of the energy transition in Germany, the Energiewende, which envisages the complete abandonment of nuclear power and a strong reliance on photovoltaic and wind energy for electricity provision. The major aim is to shed light on, and measure with indirect tools, the possible social effects on competition and substitution dynamics characterizing such transition. In doing so, an analysis on the innovation diffusion framework is proposed through 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, in order to test empirically the presence of such substitution effect. The obtained results confirm this conjecture and show that renewables have exerted a significant and measurable effect in determining the observed decline of nuclear power consumption. In particular we find that the diffusion of renewables – wind and solar – is characterized by a high within word-of-mouth, testifying the widespread belief of Germans towards the energy transition, while the parallel diffusion of nuclear power is characterized by a highly negative cross word-of-mouth, due to the competing role exerted by renewables.

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  • Guidolin, Mariangela & Guseo, Renato, 2016. "The German energy transition: Modeling competition and substitution between nuclear power and Renewable Energy Technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1498-1504.
  • Handle: RePEc:eee:rensus:v:60:y:2016:i:c:p:1498-1504
    DOI: 10.1016/j.rser.2016.03.022
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    1. John A. Norton & Frank M. Bass, 1987. "A Diffusion Theory Model of Adoption and Substitution for Successive Generations of High-Technology Products," Management Science, INFORMS, vol. 33(9), pages 1069-1086, September.
    2. Blazejczak, Jürgen & Braun, Frauke G. & Edler, Dietmar & Schill, Wolf-Peter, 2014. "Economic effects of renewable energy expansion: A model-based analysis for Germany," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 1070-1080.
    3. Scholz, Reinhard & Beckmann, Michael & Pieper, Christoph & Muster, Marc & Weber, Roman, 2014. "Considerations on providing the energy needs using exclusively renewable sources: Energiewende in Germany," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 109-125.
    4. Verbruggen, Aviel & Laes, Erik & Lemmens, Sanne, 2014. "Assessment of the actual sustainability of nuclear fission power," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 16-28.
    5. Arthur, W Brian, 1989. "Competing Technologies, Increasing Returns, and Lock-In by Historical Events," Economic Journal, Royal Economic Society, vol. 99(394), pages 116-131, March.
    6. Guseo, Renato, 2011. "Worldwide cheap and heavy oil productions: A long-term energy model," Energy Policy, Elsevier, vol. 39(9), pages 5572-5577, September.
    7. Pegels, Anna & Lütkenhorst, Wilfried, 2014. "Is Germany׳s energy transition a case of successful green industrial policy? Contrasting wind and solar PV," Energy Policy, Elsevier, vol. 74(C), pages 522-534.
    8. Henning, Hans-Martin & Palzer, Andreas, 2014. "A comprehensive model for the German electricity and heat sector in a future energy system with a dominant contribution from renewable energy technologies—Part I: Methodology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 1003-1018.
    9. Guseo, Renato & Mortarino, Cinzia, 2012. "Sequential market entries and competition modelling in multi-innovation diffusions," European Journal of Operational Research, Elsevier, vol. 216(3), pages 658-667.
    10. Viebahn, Peter & Soukup, Ole & Samadi, Sascha & Teubler, Jens & Wiesen, Klaus & Ritthoff, Michael, 2015. "Assessing the need for critical minerals to shift the German energy system towards a high proportion of renewables," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 655-671.
    11. Meade, Nigel & Islam, Towhidul, 2015. "Modelling European usage of renewable energy technologies for electricity generation," Technological Forecasting and Social Change, Elsevier, vol. 90(PB), pages 497-509.
    12. Unido, 2014. "World Statistics on Mining and Utilities 2014," Books, Edward Elgar Publishing, number 15926.
    13. Palzer, Andreas & Henning, Hans-Martin, 2014. "A comprehensive model for the German electricity and heat sector in a future energy system with a dominant contribution from renewable energy technologies – Part II: Results," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 1019-1034.
    14. Frank M. Bass & Trichy V. Krishnan & Dipak C. Jain, 1994. "Why the Bass Model Fits without Decision Variables," Marketing Science, INFORMS, vol. 13(3), pages 203-223.
    15. Frank M. Bass, 1969. "A New Product Growth for Model Consumer Durables," Management Science, INFORMS, vol. 15(5), pages 215-227, January.
    16. Grubler, Arnulf, 2012. "Energy transitions research: Insights and cautionary tales," Energy Policy, Elsevier, vol. 50(C), pages 8-16.
    17. John Hauser & Gerard J. Tellis & Abbie Griffin, 2006. "Research on Innovation: A Review and Agenda for," Marketing Science, INFORMS, vol. 25(6), pages 687-717, 11-12.
    18. Dalla Valle, Alessandra & Furlan, Claudia, 2014. "Diffusion of nuclear energy in some developing countries," Technological Forecasting and Social Change, Elsevier, vol. 81(C), pages 143-153.
    19. Meade, Nigel & Islam, Towhidul, 2006. "Modelling and forecasting the diffusion of innovation - A 25-year review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 519-545.
    20. Darda, Md Abud & Guseo, Renato & Mortarino, Cinzia, 2015. "Nonlinear production path and an alternative reserves estimate for South Asian natural gas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 654-664.
    21. Rao, K. Usha & Kishore, V.V.N., 2010. "A review of technology diffusion models with special reference to renewable energy technologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(3), pages 1070-1078, April.
    22. Strunz, Sebastian, 2014. "The German energy transition as a regime shift," Ecological Economics, Elsevier, vol. 100(C), pages 150-158.
    23. Karakosta, Charikleia & Pappas, Charalampos & Marinakis, Vangelis & Psarras, John, 2013. "Renewable energy and nuclear power towards sustainable development: Characteristics and prospects," Renewable and Sustainable Energy Reviews, Elsevier, vol. 22(C), pages 187-197.
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