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Counterfactual Comparisons of Investment Options for Wind Power and Agricultural Production in the United States: Lessons from Northern Ohio

Author

Listed:
  • Alexandre Ribeiro Scarcioffolo

    (West Virginia University)

  • Fernanda Finotti Cordeiro Perobelli

    (Universidade Federal de Juiz de Fora)

  • Ariaster Baumgratz Chimeli

    (Departamento de Economia, Universidade de São Paulo)

Abstract

We analyze potential efficiency gains in wind power projects by comparing counterfactual investment decisions in two different scenarios under a real options framework. The first scenario is a standard wind power investment, where the investor rents the land from local farms. In the second scenario, the wind power investor buys the land and commercializes both electricity and crop production, thus shortening the revenue risk through the diversification. Both scenarios have a waiting option, with the wholesale prices leading the installation decision. We model the electricity price as a mean reverting process with jumps and with different jumping probabilities for the different seasons of the year. Corn prices follow a mean reverting process. The waiting flexibility was modeled as a bundle of European options. The results indicate that the waiting option is exercised in 100% of our simulations in both scenarios, suggesting the still important role of government policies to stimulate wind power. More importantly, in more than 90% of the simulations, the second scenario brought value to the investment. Furthermore, net present values are more sensitive to reductions in capital costs than electricity prices. These results can form the basis for more effective policies for the wind power sector.

Suggested Citation

  • Alexandre Ribeiro Scarcioffolo & Fernanda Finotti Cordeiro Perobelli & Ariaster Baumgratz Chimeli, 2018. "Counterfactual Comparisons of Investment Options for Wind Power and Agricultural Production in the United States: Lessons from Northern Ohio," TD NEREUS 1-2018, Núcleo de Economia Regional e Urbana da Universidade de São Paulo (NEREUS).
  • Handle: RePEc:ris:nereus:2018_001
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    Cited by:

    1. Scarcioffolo, Alexandre R. & Etienne, Xiaoli, 2021. "Testing directional predictability between energy prices: A quantile-based analysis," Resources Policy, Elsevier, vol. 74(C).

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    JEL classification:

    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

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