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The Planting Real Option in Cash Rent Valuation

Author

Listed:
  • Du, Xiaodong
  • Hennessy, David A.

Abstract

After entering into a farmland cash rent contract in the fall, a tenant farmer has flexibility over the spring crop choice and the input application level. Failure to account for these options will bias estimates of what farmers should pay to rent land. Applying Monte Carlo simulation methods, this study investigates the option values for these choices. A Multivariate Gaussian Copula (MGC) is employed to account for dependence among yields and prices. Results show that the average cash rent valuation for the real option approach is $33.6 higher than that for the conventional Net Present Value (NPV) method, in which the input intensity option is $0.9. Crop planting sequence is shown to impact the real option value.

Suggested Citation

  • Du, Xiaodong & Hennessy, David A., 2012. "The Planting Real Option in Cash Rent Valuation," Staff General Research Papers Archive 35021, Iowa State University, Department of Economics.
    • Handle: RePEc:isu:genres:35021
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    Cited by:

    1. Ruiqing Miao & Madhu Khanna, 2017. "Effectiveness of the Biomass Crop Assistance Program: Roles of Behavioral Factors, Credit Constraint, and Program Design," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 39(4), pages 584-608.
    2. Miao, Ruiqing & Khanna, Madhu, 2017. "Costs of meeting a cellulosic biofuel mandate with perennial energy crops: Implications for policy," Energy Economics, Elsevier, vol. 64(C), pages 321-334.
    3. Majeed, Fahd & Khanna, Madhu & Miao, Ruiqing & Betes, Elena Blanc & Hudiburg, Tara & DeLucia, Evan, 2022. "Payment for carbon mitigation reduces riskiness of bioenergy crop production," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322277, Agricultural and Applied Economics Association.
    4. Mohit Anand & Ruiqing Miao & Madhu Khanna, 2019. "Adopting bioenergy crops: Does farmers’ attitude toward loss matter?," Agricultural Economics, International Association of Agricultural Economists, vol. 50(4), pages 435-450, July.
    5. David Ubilava, 2012. "Modeling Nonlinearities in the U.S. Soybean‐to‐Corn Price Ratio: A Smooth Transition Autoregression Approach," Agribusiness, John Wiley & Sons, Ltd., vol. 28(1), pages 29-41, January.
    6. Miao, Ruiqing & Khanna, Madhu, "undated". "The Biomass Crop Assistance Program: Critical, Notional, or Distortional Support for Cellulosic Biofuels?," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205818, Agricultural and Applied Economics Association.
    7. Clark Lundberg & Ryan Abman, 2022. "Maize price volatility and deforestation," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(2), pages 693-716, March.

    More about this item

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture

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