Optimal policy identification: Insights from the German electricity market
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- Herrmann, J.K. & Savin, I., 2017. "Optimal policy identification: Insights from the German electricity market," Technological Forecasting and Social Change, Elsevier, vol. 122(C), pages 71-90.
- Johannes Karl Herrmann & Ivan Savin, 2016. "Optimal Policy Identification: Insights from the German Electricity Market," Jena Economic Research Papers 2016-004, Friedrich-Schiller-University Jena.
- Johannes Herrmann & Ivan Savin, 2016. "Optimal Policy Identification: Insights from the German Electricity Market," Working Papers of BETA 2016-16, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
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Cited by:
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- Korzinov, Vladimir & Savin, Ivan, 2018. "General Purpose Technologies as an emergent property," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 88-104.
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More about this item
Keywords
differential evolution; electricity storage; energy grid; feed-in tariff; renewable energy;JEL classification:
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
- Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
- Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ENE-2016-03-23 (Energy Economics)
- NEP-INO-2016-03-23 (Innovation)
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