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Scrapping a Wind Turbine: Policy Changes, Scrapping Incentives and Why Wind Turbines in Good Locations Get Scrapped First

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  • Mauritzen, Johannes

    (Research Institute of Industrial Economics (IFN))

Abstract

The most common reason for scrapping a wind turbine in Denmark is to make room for a newer turbine. The decision to scrap a wind turbine is then highly dependent on an opportunity cost that comes from the interaction of scarce land resources, technological change and changes in subsidy policy. Using a Cox regression model I show that turbines that are located in areas with better wind resources are at a higher risk of being scrapped. Policies put in place in order to encourage the scrapping of older, poorly placed turbines actually have a larger effect on well-placed turbines.

Suggested Citation

  • Mauritzen, Johannes, 2012. "Scrapping a Wind Turbine: Policy Changes, Scrapping Incentives and Why Wind Turbines in Good Locations Get Scrapped First," Working Paper Series 940, Research Institute of Industrial Economics.
    • Handle: RePEc:hhs:iuiwop:0940
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    Cited by:

    1. Bernardino Adão & Borghan N. Narajabad & Ted Temzelides, 2022. "Renewable Technology Adoption Costs and Economic Growth," Finance and Economics Discussion Series 2022-045, Board of Governors of the Federal Reserve System (U.S.).
    2. Chronopoulos, Michail & Siddiqui, Afzal, 2014. "When is it Better to Wait for a New Version? Optimal Replacement of an Emerging Technology under Uncertainty," Discussion Papers 2014/26, Norwegian School of Economics, Department of Business and Management Science.
    3. Mauritzen, Johannes, 2020. "Will the locals benefit?," Energy Policy, Elsevier, vol. 142(C).
    4. McInerney, Celine & Bunn, Derek W., 2017. "Optimal over installation of wind generation facilities," Energy Economics, Elsevier, vol. 61(C), pages 87-96.
    5. Fogelberg, Sara & Lazarczyk, Ewa, 2017. "Wind power volatility and its impact on production failures in the Nordic electricity market," Renewable Energy, Elsevier, vol. 105(C), pages 96-105.

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    More about this item

    Keywords

    Wind power scrapping; Nordic electricity market; Cox regression model;
    All these keywords.

    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • D92 - Microeconomics - - Micro-Based Behavioral Economics - - - Intertemporal Firm Choice, Investment, Capacity, and Financing
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • Q42 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Alternative Energy Sources

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