IDEAS home Printed from https://ideas.repec.org/p/ags/aaea17/260825.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/260825/files/AdoptingBioEnergyCrops_AAEA2017.pdf
    Download Restriction: no
    File URL: https://ageconsearch.umn.edu/record/260825/files/AdoptingBioEnergyCrops_AAEA2017.pdf?subformat=pdfa
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.260825?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sant'Anna, Ana Claudia & Bergtold, Jason & Shanoyan, Aleksan & Caldas, Marcellus & Granco, Gabriel, 2021. "Deal or No Deal? Analysis of Bioenergy Feedstock Contract Choice with Multiple Opt-out Options and Contract Attribute Substitutability," 2021 Conference, August 17-31, 2021, Virtual 315289, International Association of Agricultural Economists.
    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. 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.
    5. 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.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. Shuoli Zhao & Chengyan Yue, 2020. "Risk preferences of commodity crop producers and specialty crop producers: An application of prospect theory," Agricultural Economics, International Association of Agricultural Economists, vol. 51(3), pages 359-372, May.
    4. Géraldine Bocquého & Julien Jacob & Marielle Brunette, 2023. "Prospect theory in multiple price list experiments: further insights on behaviour in the loss domain," Theory and Decision, Springer, vol. 94(4), pages 593-636, May.
    5. Géraldine Bocquého & Julien Jacob & Marielle Brunette, 2020. "Prospect theory in experiments : behaviour in loss domain and framing effects," Working Papers hal-02987294, HAL.
    6. Doidge, Mary & Feng, Hongli & Hennessy, David A., 2018. "Farmers’ valuation of changes to crop insurance coverage level – a test of third generation prospect theory," 2018 Annual Meeting, August 5-7, Washington, D.C. 274478, Agricultural and Applied Economics Association.
    7. Feyisa, Ashenafi Duguma & Maertens, Miet & de Mey, Yann, 2023. "Relating risk preferences and risk perceptions over different agricultural risk domains: Insights from Ethiopia," World Development, Elsevier, vol. 162(C).
    8. Thomas Sproul & Clayton P. Michaud, 2017. "Heterogeneity in loss aversion: evidence from field elicitations," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 77(1), pages 196-216, May.
    9. Häckel, Björn & Pfosser, Stefan & Tränkler, Timm, 2017. "Explaining the energy efficiency gap - Expected Utility Theory versus Cumulative Prospect Theory," Energy Policy, Elsevier, vol. 111(C), pages 414-426.
    10. Douadia Bougherara & Laurent Piet, 2018. "On the role of probability weighting on WTP for crop insurance with and without yield skewness," Working Papers hal-02790605, HAL.
    11. Douadia Bougherara & Lana Friesen & Céline Nauges, 2021. "Risk Taking with Left- and Right-Skewed Lotteries," Journal of Risk and Uncertainty, Springer, vol. 62(1), pages 89-112, February.
    12. Nadia A. Streletskaya & Samuel D. Bell & Maik Kecinski & Tongzhe Li & Simanti Banerjee & Leah H. Palm‐Forster & David Pannell, 2020. "Agricultural Adoption and Behavioral Economics: Bridging the Gap," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(1), pages 54-66, March.
    13. Xiaodong Du & Hongli Feng & David A. Hennessy, 2017. "Rationality of Choices in Subsidized Crop Insurance Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(3), pages 732-756.
    14. Hongli Feng & Xiaodong Du & David A. Hennessy, 2020. "Depressed demand for crop insurance contracts, and a rationale based on third generation Prospect Theory," Agricultural Economics, International Association of Agricultural Economists, vol. 51(1), pages 59-73, January.
    15. Francisco Rosas & Mariana Sans & Santiago Arana, 2018. "The effect of irrigation on income volatility reduction: a prospect theory approach," Documentos de Investigación 118, Universidad ORT Uruguay. Facultad de Administración y Ciencias Sociales.
    16. Shin, Soye & Magnan, Nicholas & Mullally, Conner & Janzen, Sarah, 2022. "Demand for Weather Index Insurance among Smallholder Farmers under Prospect Theory," Journal of Economic Behavior & Organization, Elsevier, vol. 202(C), pages 82-104.
    17. Zhao, Shuoli & Skevas, Teo & Chai, Yuan & Tack, Jesse B., 2020. "Crop Insurance Decision under Expected Revenue," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304574, Agricultural and Applied Economics Association.
    18. 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.
    19. Rosas, Juan Francisco & Sans, Mariana & Arana, Santiago, 2017. "Quantifying the Benefits of Supplemented Irrigation due to Less Volatile Yields: A Prospect Theory Approach Applied to Summer Crops in Uruguay," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 259122, Agricultural and Applied Economics Association.
    20. 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.

    More about this item

    Keywords

    Crop Production/Industries; Farm Management; Land Economics/Use;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:aaea17:260825. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.