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Production and spatial distribution of switchgrass and miscanthus in the United States under uncertainty and sunk cost

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  • Dumortier, Jerome
  • Kauffman, Nathan
  • Hayes, Dermot J.

Abstract

The U.S. cellulosic biofuel mandate has not been enforced in recent years. Uncertainty surrounding the enforcement of the mandate in addition to high production and harvest cost have contributed to a delay in the widespread planting of bioenergy crops such as switchgrass and miscanthus. Previous literature has shown that under uncertainty and sunk cost, an investment threshold is further increased due to the value associated from holding the investment option. In this paper, we extend the previous literature by applying a real option switching model to bioenergy crop production. First, we calculate the county-level break-even price which triggers a switching away from traditional field crops (corn, soybeans, and wheat) to bioenergy crops under various scenarios differing by commodity prices, production cost and biomass price expectations. We show that the resulting break-even prices at the county-level can be substantially higher than previously estimated due to the inclusion of the option value. In a second step, we identify counties that are most likely to grow switchgrass or miscanthus by simulating a stochastic biomass price over time. Our results highlight two issues: First, switchgrass or miscanthus are not grown in the Midwest under any scenario. Under low agricultural residue removal rates, biomass crops are mostly grown in the Southeast. Second, under the assumption of a high removal rates, bioenergy crops are not grown anywhere in the U.S. since the cellulosic biofuel mandate can be covered by agricultural residues.

Suggested Citation

  • Dumortier, Jerome & Kauffman, Nathan & Hayes, Dermot J., 2017. "Production and spatial distribution of switchgrass and miscanthus in the United States under uncertainty and sunk cost," ISU General Staff Papers 201709010700001686, Iowa State University, Department of Economics.
  • Handle: RePEc:isu:genstf:201709010700001686
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    1. Majd, Saman & Pindyck, Robert S., 1987. "Time to build, option value, and investment decisions," Journal of Financial Economics, Elsevier, vol. 18(1), pages 7-27, March.
    2. Abebayehu Tegene & Keith Wiebe & Betsey Kuhn, 1999. "Irreversible Investment Under Uncertainty: Conservation Easements and the Option to Develop Agricultural Land," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(2), pages 203-219, May.
    3. Nostbakken, Linda, 2006. "Regime switching in a fishery with stochastic stock and price," Journal of Environmental Economics and Management, Elsevier, vol. 51(2), pages 231-241, March.
    4. Seth Meyer & Wyatt Thompson, 2012. "How Do Biofuel Use Mandates Cause Uncertainty? United States Environmental Protection Agency Cellulosic Waiver Options," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 34(4), pages 570-586.
    5. Pacheco-de-Almeida, Goncalo & Zemsky, Peter, 2003. "The Effect of Time-to-Build on Strategic Investment under Uncertainty," RAND Journal of Economics, The RAND Corporation, vol. 34(1), pages 166-182, Spring.
    6. Bar-Ilan, Avner & Strange, William C., 1998. "A model of sequential investment," Journal of Economic Dynamics and Control, Elsevier, vol. 22(3), pages 437-463, March.
    7. Odening, Martin & Mu[ss]hoff, Oliver & Hirschauer, Norbert & Balmann, Alfons, 2007. "Investment under uncertainty--Does competition matter?," Journal of Economic Dynamics and Control, Elsevier, vol. 31(3), pages 994-1014, March.
    8. Schatzki, Todd, 2003. "Options, uncertainty and sunk costs:: an empirical analysis of land use change," Journal of Environmental Economics and Management, Elsevier, vol. 46(1), pages 86-105, July.
    9. Jasmina Behan & Kieran McQuinn & Maurice J. Roche, 2006. "Rural Land Use: Traditional Agriculture or Forestry?," Land Economics, University of Wisconsin Press, vol. 82(1), pages 112-123.
    10. Tsekrekos, Andrianos E., 2010. "The effect of mean reversion on entry and exit decisions under uncertainty," Journal of Economic Dynamics and Control, Elsevier, vol. 34(4), pages 725-742, April.
    11. Seth Meyer & Wyatt Thompson, 2012. "How Do Biofuel Use Mandates Cause Uncertainty? United States Environmental Protection Agency Cellulosic Waiver Options," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 34(4), pages 570-586.
    12. Steven R. Grenadier, 2002. "Option Exercise Games: An Application to the Equilibrium Investment Strategies of Firms," The Review of Financial Studies, Society for Financial Studies, vol. 15(3), pages 691-721.
    13. Madhu Khanna & Xiaoguang Chen & Haixiao Huang & Hayri Onal, 2011. "Supply of Cellulosic Biofuel Feedstocks and Regional Production Pattern," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(2), pages 473-480.
    14. Price, T. Jeffrey & Wetzstein, Michael E., 1999. "Irreversible Investment Decisions In Perennial Crops With Yield And Price Uncertainty," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 24(1), pages 1-13, July.
    15. Avinash K. Dixit & Robert S. Pindyck, 1994. "Investment under Uncertainty," Economics Books, Princeton University Press, edition 1, number 5474.
    16. Isik, Murat & Yang, Wanhong, 2004. "An Analysis of the Effects of Uncertainty and Irreversibility on Farmer Participation in the Conservation Reserve Program," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 29(2), pages 1-18, August.
    17. Guilherme B. Martins & Marcos Eugênio da Silva, 2005. "A Real Option Model with Uncertain, Sequential Investment and with Time to Build," Brazilian Review of Finance, Brazilian Society of Finance, vol. 3(2), pages 141-172.
    18. Zhao, Jinhua, 2003. "Irreversible abatement investment under cost uncertainties: tradable emission permits and emissions charges," Journal of Public Economics, Elsevier, vol. 87(12), pages 2765-2789, December.
    19. Babcock, Bruce A. & Marette, Stéphan & Tréguer, David, 2011. "Opportunity for profitable investments in cellulosic biofuels," Energy Policy, Elsevier, vol. 39(2), pages 714-719, February.
    20. Feng Song & Jinhua Zhao & Scott M. Swinton, 2011. "Switching to Perennial Energy Crops Under Uncertainty and Costly Reversibility," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(3), pages 764-779.
    21. Luis Alvarez & Rune Stenbacka, 2003. "Optimal risk adoption: a real options approach," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 23(1), pages 123-147, December.
    22. Bar-Ilan, Avner & Strange, William C, 1996. "Investment Lags," American Economic Review, American Economic Association, vol. 86(3), pages 610-622, June.
    23. Jean-Paul Décamps & Thomas Mariotti & Stéphane Villeneuve, 2006. "Irreversible investment in alternative projects," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 28(2), pages 425-448, June.
    24. Dumortier, Jerome, 2015. "Impact of agronomic uncertainty in biomass production and endogenous commodity prices on cellulosic biofuel feedstock composition," IU SPEA AgEcon Papers 198707, Indiana University, IU School of Public and Environmental Affairs.
    25. Chladna, Zuzana, 2007. "Determination of optimal rotation period under stochastic wood and carbon prices," Forest Policy and Economics, Elsevier, vol. 9(8), pages 1031-1045, May.
    26. Mindy L. Mallory & Dermot J. Hayes & Bruce A. Babcock, 2011. "Crop-Based Biofuel Production with Acreage Competition and Uncertainty," Land Economics, University of Wisconsin Press, vol. 87(4), pages 610-627.
    27. Gonçalo Pacheco-De-Almeida & Peter Zemsky, 2003. "The Effect of Time-to-Build on Strategic Investment under Uncertainty," Post-Print hal-00576375, HAL.
    28. Balikcioglu, Metin & Fackler, Paul L. & Pindyck, Robert S., 2011. "Solving optimal timing problems in environmental economics," Resource and Energy Economics, Elsevier, vol. 33(3), pages 761-768, September.
    29. John V. Leahy, 1993. "Investment in Competitive Equilibrium: The Optimality of Myopic Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(4), pages 1105-1133.
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    5. Sharma, Bijay P. & Khanna, Madhu & Miao, Ruiqing, 2022. "Designing Efficient Payments to Incentivize GHG Mitigation Using Energy Crops," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322361, Agricultural and Applied Economics Association.
    6. Hanson, Eilish R. & Nagler, Amy & Ritten, John & Rashford, Benjamin, 2022. "Farm-Level Economics of Bioenergy in the Upper Missouri River Basin," Journal of the ASFMRA, American Society of Farm Managers and Rural Appraisers, vol. 2022.
    7. Jerome Dumortier & Amani Elobeid, 2020. "Assessment of Carbon Tax Policies: Implications on U.S. Agricultural Production and Farm Income," Center for Agricultural and Rural Development (CARD) Publications 20-wp606, Center for Agricultural and Rural Development (CARD) at Iowa State University.
    8. Madhu Khanna & Ruiqing Miao, 2022. "Inducing the adoption of emerging technologies for sustainable intensification of food and renewable energy production: insights from applied economics," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(1), pages 1-23, January.
    9. Jiahong Yuan & Xiaoyu Li & Zilai Sun & Junhu Ruan, 2021. "Will the Adoption of Early Fertigation Techniques Hinder Famers’ Technology Renewal? Evidence from Fresh Growers in Shaanxi, China," Agriculture, MDPI, vol. 11(10), pages 1-17, September.
    10. Burli, Pralhad & Lal, Pankaj & Wolde, Bernabas & Jose, Shibu & Bardhan, Sougata, 2019. "Factors affecting willingness to cultivate switchgrass: Evidence from a farmer survey in Missouri," Energy Economics, Elsevier, vol. 80(C), pages 20-29.
    11. Dumortier, Jerome, 2024. "Vehicle electrification and fuel economy policies: Impacts on agricultural land-use in the United States," Land Use Policy, Elsevier, vol. 141(C).
    12. Ewelina Olba-Zięty & Mariusz Jerzy Stolarski & Michał Krzyżaniak, 2021. "Economic Evaluation of the Production of Perennial Crops for Energy Purposes—A Review," Energies, MDPI, vol. 14(21), pages 1-16, November.

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    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General

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