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Adopting Bio-Energy Crops: Does Farmers Attitude toward Loss Matter?

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  • Anand, Mohit
  • Miao, Ruiqing
  • Khanna, Madhu

Abstract

This paper analyzes farmers’ willingness to grow a perennial energy crop (namely, miscanthus) while accounting for their attitude toward loss based on prospect theory. The analysis includes 1,877 U.S. counties east of the 100th Meridian that have data for corn yield and for miscanthus. We first estimate distributions of profits for miscanthus and conventional crops. The average probability of having a loss from growing miscanthus on high and low quality land for each county is calculated. We then study farmers’ optimal land allocation between miscanthus and conventional crops under prospect theory, and separately, under expected utility theory. Results show that all else equal, miscanthus production is lower when farmers’ loss aversion is considered than when loss aversion is ignored. Moreover, geographical configuration of miscanthus adoption predicted by prospect theory significantly differs from that predicted by expected utility theory.

Suggested Citation

  • Anand, Mohit & Miao, Ruiqing & Khanna, Madhu, 2017. "Adopting Bio-Energy Crops: Does Farmers Attitude toward Loss Matter?," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 260825, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea17:260825
    DOI: 10.22004/ag.econ.260825
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    1. Anand, Mohit & Duffy, Patricia & Bransby, David, 2017. "Will switchgrass as a bio-crop be adopted by the farmers?," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252724, Southern Agricultural Economics Association.
    2. Xi Yang & Nicholas D. Paulson & Madhu Khanna, 2016. "Optimal Mix of Vertical Integration and Contracting for Energy Crops: Effect of Risk Preferences and Land Quality," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 38(4), pages 632-654.
    3. Yan, Jun, 2007. "Enjoy the Joy of Copulas: With a Package copula," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 21(i04).
    4. 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.
    5. Xiaodong Du & David A. Hennessy, 2012. "The planting real option in cash rent valuation," Applied Economics, Taylor & Francis Journals, vol. 44(6), pages 765-776, February.
    6. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    7. Kirwan, Barrett E., 2014. "The Crowd-out Effect of Crop Insurance on Farm Survival and Profitability," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170881, Agricultural and Applied Economics Association.
    8. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    9. 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.
    10. Gedikoglu, Haluk, 2015. "Socio-Economic Factors And Adoption O Fenergy Crops," International Journal of Food and Agricultural Economics (IJFAEC), Alanya Alaaddin Keykubat University, Department of Economics and Finance, vol. 3(1), pages 1-17, January.
    11. Elaine M. Liu, 2013. "Time to Change What to Sow: Risk Preferences and Technology Adoption Decisions of Cotton Farmers in China," The Review of Economics and Statistics, MIT Press, vol. 95(4), pages 1386-1403, October.
    12. Zhu, Ying & Ghosh, Sujit K. & Goodwin, Barry K., 2008. "Modeling Dependence in the Design of Whole Farm---A Copula-Based Model Approach," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6282, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    13. Babcock, Bruce, 2015. "Using Prospect Theory to Explain Anomalous Crop Insurance Coverage Choice," 2015 Allied Social Sciences Association (ASSA) Annual Meeting, January 3-5, 2015, Boston, Massachusetts 189682, Agricultural and Applied Economics Association.
    14. Bruce A. Babcock, 2015. "Using Cumulative Prospect Theory to Explain Anomalous Crop Insurance Coverage Choice," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(5), pages 1371-1384.
    15. Chen, Xiaoguang & Huang, Haixiao & Khanna, Madhu & Önal, Hayri, 2014. "Alternative transportation fuel standards: Welfare effects and climate benefits," Journal of Environmental Economics and Management, Elsevier, vol. 67(3), pages 241-257.
    16. Madhu Khanna & Jordan Louviere & Xi Yang, 2017. "Motivations to grow energy crops: the role of crop and contract attributes," Agricultural Economics, International Association of Agricultural Economists, vol. 48(3), pages 263-277, May.
    17. Miao, Ruiqing & Khanna, Madhu, 2014. "Are Bioenergy Crops Riskier than Corn? Implications for Biomass Price," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 29(1), pages 1-6.
    18. Tara W. Hudiburg & WeiWei Wang & Madhu Khanna & Stephen P. Long & Puneet Dwivedi & William J. Parton & Melannie Hartman & Evan H. DeLucia, 2016. "Impacts of a 32-billion-gallon bioenergy landscape on land and fossil fuel use in the US," Nature Energy, Nature, vol. 1(1), pages 1-7, January.
    19. Smith, David J. & Schulman, Candi & Current, Dean & Easter, K. William, 2011. "Willingness of Agricultural Landowners to Supply Perennial Energy Crops," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103930, Agricultural and Applied Economics Association.
    20. Bougherara, Douadia & Piet, Laurent, 2014. "The Impact of Farmers’ Risk Preferences on the Design of an Individual Yield Crop Insurance," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 183082, European Association of Agricultural Economists.
    21. Nicholas C. Barberis, 2013. "Thirty Years of Prospect Theory in Economics: A Review and Assessment," Journal of Economic Perspectives, American Economic Association, vol. 27(1), pages 173-196, Winter.
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    Cited by:

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    2. McCarty, Tanner & Sesmero, Juan, 2021. "Contracting for perennial energy crops and the cost-effectiveness of the Biomass Crop Assistance Program," Energy Policy, Elsevier, vol. 149(C).
    3. Madhu Khanna, 2022. "Breakthroughs at the disciplinary nexus: Rewards and challenges for applied economists," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(2), pages 475-492, March.
    4. 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.
    5. Deepayan Debnath & Madhu Khanna & Deepak Rajagopal & David Zilberman, 2019. "The Future of Biofuels in an Electrifying Global Transportation Sector: Imperative, Prospects and Challenges," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 41(4), pages 563-582, December.
    6. Alexis H. Villacis & Jeffrey R. Alwang & Victor Barrera, 2021. "Linking risk preferences and risk perceptions of climate change: A prospect theory approach," Agricultural Economics, International Association of Agricultural Economists, vol. 52(5), pages 863-877, September.
    7. Burli, Pralhad & Lal, Pankaj & Wolde, Bernabas & Jose, Shibu & Bardhan, Sougata, 2021. "Perceptions about switchgrass and land allocation decisions: Evidence from a farmer survey in Missouri," Land Use Policy, Elsevier, vol. 109(C).
    8. Sant’Anna, Ana Claudia & Bergtold, Jason S. & Shanoyan, Aleksan & Caldas, Marcellus M. & Granco, Gabriel, 2022. "Biofuel feedstock contract attributes, substitutability and tradeoffs in sugarcane production for ethanol in the Brazilian Cerrado: A stated choice approach," Renewable Energy, Elsevier, vol. 185(C), pages 665-679.

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    Keywords

    Crop Production/Industries; Farm Management; Land Economics/Use;
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