Way Off: The Effect of Minimum Distance Regulation on the Deployment of Wind Power
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Cited by:
- Tobias Naegler & Lisa Becker & Jens Buchgeister & Wolfgang Hauser & Heidi Hottenroth & Tobias Junne & Ulrike Lehr & Oliver Scheel & Ricarda Schmidt-Scheele & Sonja Simon & Claudia Sutardhio & Ingela T, 2021. "Integrated Multidimensional Sustainability Assessment of Energy System Transformation Pathways," Sustainability, MDPI, vol. 13(9), pages 1-28, May.
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- Dehler-Holland, Joris & Okoh, Marvin & Keles, Dogan, 2022.
"Assessing technology legitimacy with topic models and sentiment analysis – The case of wind power in Germany,"
Technological Forecasting and Social Change, Elsevier, vol. 175(C).
- Dehler-Holland, Joris & Okoh, Marvin & Keles, Dogan, 2021. "The legitimacy of wind power in Germany," Working Paper Series in Production and Energy 54, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
- Croonenbroeck, Carsten & Hennecke, David, 2021. "A comparison of optimizers in a unified standard for optimization on wind farm layout optimization," Energy, Elsevier, vol. 216(C).
- Peri, Erez & Tal, Alon, 2021. "Is setback distance the best criteria for siting wind turbines under crowded conditions? An empirical analysis," Energy Policy, Elsevier, vol. 155(C).
- Oehlmann, Malte & Glenk, Klaus & Lloyd-Smith, Patrick & Meyerhoff, Jürgen, 2021. "Quantifying landscape externalities of renewable energy development: Implications of attribute cut-offs in choice experiments," Resource and Energy Economics, Elsevier, vol. 65(C).
- Jan-Niklas Meier & Paul Lehmann & Bernd Süssmuth & Stephan Wedekind, 2024. "Wind power deployment and the impact of spatial planning policies," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 87(2), pages 491-550, February.
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More about this item
Keywords
Onshore wind power; minimum distance; separation distance; energy transition; acceptance; panel data; difference-in-differences; causal inference; event study;All these keywords.
JEL classification:
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources
- R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
- R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ENE-2020-05-18 (Energy Economics)
- NEP-EUR-2020-05-18 (Microeconomic European Issues)
- NEP-REG-2020-05-18 (Regulation)
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