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Farmers' willingness to contract switchgrass as a cellulosic bioenergy crop in Kansas

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  • Fewell, Jason E.
  • Bergtold, Jason S.
  • Williams, Jeffery R.

Abstract

Farmers' adoption of cellulosic biofuel feedstock enterprises plays an important role in the future of agriculture and the renewable fuels \industry. However, no set markets currently exist for bioenergy feedstocks outside of very localized geographic locations and farmers may be reluctant to produce the feedstocks without contracts that help mitigate uncertainty and risk. This study examines farmers' willingness to grow switchgrass under contract using a stated choice approach. Data were collected using an enumerated survey of Kansas farmers and analyzed using latent class logistic regression models. Farmers whose primary enterprise is livestock are less inclined to grow switchgrass. Shorter contracts, greater harvest flexibility, crop insurance, and cost-share assistance increase the likelihood that farmers will grow switchgrass for bioenergy production.

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  • Fewell, Jason E. & Bergtold, Jason S. & Williams, Jeffery R., 2016. "Farmers' willingness to contract switchgrass as a cellulosic bioenergy crop in Kansas," Energy Economics, Elsevier, vol. 55(C), pages 292-302.
    • Handle: RePEc:eee:eneeco:v:55:y:2016:i:c:p:292-302
    DOI: 10.1016/j.eneco.2016.01.015
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    1. Meyerhoff, Jurgen & Bartczak, Anna & Liebe, Ulf, 2012. "Protester or non-protester: a binary state? on the use (and non-use) of latent class models to analyse protesting in economic valuation," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(3), pages 1-17.
    2. William Breffle & Edward Morey & Jennifer Thacher, 2011. "A Joint Latent-Class Model: Combining Likert-Scale Preference Statements With Choice Data to Harvest Preference Heterogeneity," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 50(1), pages 83-110, September.
    3. Gallagher, Paul W. & Dikeman, Mark & Fritz, John & Wailes, Eric & Gauthier, Wayne & Shapouri, Hosein, 2003. "Supply and Social Cost Estimates for Biomass from Crop Residues in the United States," ISU General Staff Papers 200304010800001493, Iowa State University, Department of Economics.
    4. Daniel G. De La Torre Ugarte & Burton C. English & Kim Jensen, 2007. "Sixty Billion Gallons by 2030: Economic and Agricultural Impacts of Ethanol and Biodiesel Expansion," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(5), pages 1290-1295.
    5. Mapemba, Lawrence D. & Epplin, Francis M., 2004. "Lignocellulosic Biomass Harvest And Delivery Cost," 2004 Annual Meeting, February 14-18, 2004, Tulsa, Oklahoma 34730, Southern Agricultural Economics Association.
    6. Marie Walsh & Daniel de la Torre Ugarte & Hosein Shapouri & Stephen Slinsky, 2003. "Bioenergy Crop Production in the United States: Potential Quantities, Land Use Changes, and Economic Impacts on the Agricultural Sector," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 24(4), pages 313-333, April.
    7. Dicks, Michael R. & Campiche, Jody L. & Torre Ugarte, Daniel de la & Hellwinckel, Chad M. & Bryant, Henry L. & Richardson, James W., 2009. "Land Use Implications of Expanding Biofuel Demand," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 41(2), August.
    8. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
    9. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, January.
    10. Epplin, Francis M. & Clark, Christopher D. & Roberts, Roland K. & Hwang, Seonghuyk, 2007. "AJAE Appendix: Challenges to the Development of a Dedicated Energy Crop," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 89(5), pages 1-13, December.
    11. Torre Ugarte, Daniel de la & Walsh, Marie E. & Shapouri, Hosein & Slinsky, Stephen P., 2003. "The Economic Impacts of Bioenergy Crop Production on U.S. Crop Production," Agricultural Economic Reports 33997, United States Department of Agriculture, Economic Research Service.
    12. Sergio Colombo & Nick Hanley & Jordan Louviere, 2009. "Modeling preference heterogeneity in stated choice data: an analysis for public goods generated by agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 40(3), pages 307-322, May.
    13. Bangsund, Dean A. & DeVuyst, Eric A. & Leistritz, F. Larry, 2008. "Evaluation of Breakeven Farm-gate Switchgrass Prices in South Central North Dakota," Agribusiness & Applied Economics Report 37845, North Dakota State University, Department of Agribusiness and Applied Economics.
    14. Fewell, Jason & Lynes, Melissa & Williams, Jeffery & Bergtold, Jason, 2013. "Kansas Farmers Interest and Preferences for Growing Cellulosic Bioenergy Crops," Journal of the ASFMRA, American Society of Farm Managers and Rural Appraisers, vol. 2013, pages 1-22, June.
    15. Heid, Walter G., Jr., 1984. "Turning Great Plains Crop Residues and Other Products Into Energy," Agricultural Economic Reports 307969, United States Department of Agriculture, Economic Research Service.
    16. Louviere,Jordan J. & Hensher,David A. & Swait,Joffre D. With contributions by-Name:Adamowicz,Wiktor, 2000. "Stated Choice Methods," Cambridge Books, Cambridge University Press, number 9780521788304, November.
    17. Hipple, Pat & Duffy, Michael, 2002. "Farmer's Motivation for Adoption of Switchgrass," Staff General Research Papers Archive 10347, Iowa State University, Department of Economics.
    18. Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
    19. Paul Gallagher & Mark Dikeman & John Fritz & Eric Wailes & Wayne Gauthier & Hosein Shapouri, 2003. "Supply and Social Cost Estimates for Biomass from Crop Residues in the United States," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 24(4), pages 335-358, April.
    20. Bangsund, Dean A. & DeVuyst, Eric A. & Leistritz, F. Larry, 2008. "Evaluation of Breakeven Farm-gate Switchgrass Prices in South Central North Dakota-Summary," Agribusiness & Applied Economics Report 42253, North Dakota State University, Department of Agribusiness and Applied Economics.
    21. Brian Roe & Thomas L. Sporleder & Betsy Belleville, 2004. "Hog Producer Preferences for Marketing Contract Attributes," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 115-123.
    22. Nguyen, Nam-Ky & Miller, Alan J., 1992. "A review of some exchange algorithms for constructing discrete D-optimal designs," Computational Statistics & Data Analysis, Elsevier, vol. 14(4), pages 489-498, November.
    23. Altman, Ira J. & Boessen, Christian R. & Sanders, Dwight R., 2007. "Contracting for Biomass: Supply Chain Strategies for Renewable Energy," 2007 Annual Meeting, February 4-7, 2007, Mobile, Alabama 34907, Southern Agricultural Economics Association.
    24. Alexander, Corinne & Ivanic, Rasto & Rosch, Stephanie & Tyner, Wallace & Wu, Steven Y. & Yoder, Joshua R., 2012. "Contract theory and implications for perennial energy crop contracting," Energy Economics, Elsevier, vol. 34(4), pages 970-979.
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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. Van Deynze, B., 2018. "The Effects of Experience on Landowner Preferences over Bioenergy Feedstocks," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277001, International Association of Agricultural Economists.
    4. Zemo, Kahsay Haile & Termansen, Mette, 2018. "Farmers’ willingness to participate in collective biogas investment: A discrete choice experiment study," Resource and Energy Economics, Elsevier, vol. 52(C), pages 87-101.
    5. Kung, Chih-Chun & Zhang, Ning & Choi, Yongrok & Xiong, Kai & Yu, Jiangli, 2019. "Effectiveness of crop residuals in ethanol and pyrolysis-based electricity production: A stochastic analysis under uncertain climate impacts," Energy Policy, Elsevier, vol. 125(C), pages 267-276.
    6. Halit Üster & Gökhan Memişoğlu, 2018. "Biomass Logistics Network Design Under Price-Based Supply and Yield Uncertainty," Transportation Science, INFORMS, vol. 52(2), pages 474-492, March.
    7. Kung, Chih-Chun & Wu, Tao, 2021. "Influence of water allocation on bioenergy production under climate change: A stochastic mathematical programming approach," Energy, Elsevier, vol. 231(C).
    8. Sharma, Bijay P. & Yu, T. Edward & English, Burton C. & Boyer, Christopher N. & Larson, James A., 2020. "Impact of government subsidies on a cellulosic biofuel sector with diverse risk preferences toward feedstock uncertainty," Energy Policy, Elsevier, vol. 146(C).
    9. Mamun, Saleh & Hansen, Jason K. & Roni, Mohammad S., 2020. "Supply, operational, and market risk reduction opportunities: Managing risk at a cellulosic biorefinery," Renewable and Sustainable Energy Reviews, Elsevier, vol. 121(C).
    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.

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    More about this item

    Keywords

    Switchgrass; Cellulosic biofuel; Stated choice survey; Farmer adoption; Latent class;
    All these keywords.

    JEL classification:

    • Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture
    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation
    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy

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