The innovation of techniques and the time-horizon: A neo-Austrian approach
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- repec:eee:tefoso:v:122:y:2017:i:c:p:71-90 is not listed on IDEAS
- 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 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.
- Herrmann, Johannes Karl & Savin, Ivan, 2016. "Optimal policy identification: Insights from the German electricity market," Working Paper Series in Economics 87, Karlsruhe Institute of Technology (KIT), Department of Economics and Business Engineering.
- 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.
- Herrmann, Johannes & Savin, Ivan, 2015. "Evolution of the electricity market in Germany: Identifying policy implications by an agent-based model," Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112959, Verein für Socialpolitik / German Economic Association.
- Winkler, Ralph, 2005. "Structural change with joint production of consumption and environmental pollution: a neo-Austrian approach," Structural Change and Economic Dynamics, Elsevier, vol. 16(1), pages 111-135, March.
- Proops, John L. R. & Speck, Stefan, 1996. "Comparison of neoclassical and neo-Austrian growth models," Structural Change and Economic Dynamics, Elsevier, vol. 7(2), pages 173-192, June.
- Winkler, Ralph, 2006. "Valuation of ecosystem goods and services: Part 2: Implications of unpredictable novel change," Ecological Economics, Elsevier, vol. 59(1), pages 94-105, August.
- Speck, Stefan, 1997. "A neo-Austrian five process model with resource extraction and pollution abatement," Ecological Economics, Elsevier, vol. 21(2), pages 91-103, May.
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