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Farmer Interest in and Willingness to Grow Pennycress as an Energy Feedstock

Author

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  • Xia Vivian Zhou

    (Department of Agricultural & Resource Economics, University of Tennessee, Knoxville, TN 37996, USA)

  • Kimberly L. Jensen

    (Department of Agricultural & Resource Economics, University of Tennessee, Knoxville, TN 37996, USA)

  • James A. Larson

    (Department of Agricultural & Resource Economics, University of Tennessee, Knoxville, TN 37996, USA)

  • Burton C. English

    (Department of Agricultural & Resource Economics, University of Tennessee, Knoxville, TN 37996, USA)

Abstract

Pennycress can be used as a renewable biomass because its harvested seeds can be converted into biofuel, supplying, for example the aviation industry. Pennycress can be adopted as a winter cover crop to make extra profit in addition to summer cash crops. This study ascertains influences on row crop farmers’ interest in growing pennycress to supply a biofuels industry. The study uses data from a survey of row-crop farmers in seven US states. Effects of farm and farmer attributes on acceptance of a farmgate pennycress price are measured. Nearly 58% were interested in growing pennycress if profitable. Among those interested, 54.4% would accept the farmgate pennycress price offered. Positive influences on interest included farm size, education, and familiarity with pennycress, while concern about knowledge on growing pennycress, and use of no-till practices had negative influences. Farmers aged 40 to 65 were more likely to accept the price, while share of rented hectares and no debt had positive influences. More risk-averse farmers and those using no-till were less likely to accept. Results suggest that the majority of row crop farmers would be interested in growing pennycress if profitable, while the overall willingness to accept the farmgate price was when it was at $0.28/kg.

Suggested Citation

  • Xia Vivian Zhou & Kimberly L. Jensen & James A. Larson & Burton C. English, 2021. "Farmer Interest in and Willingness to Grow Pennycress as an Energy Feedstock," Energies, MDPI, vol. 14(8), pages 1-16, April.
  • Handle: RePEc:gam:jeners:v:14:y:2021:i:8:p:2066-:d:532362
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    References listed on IDEAS

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    1. Carlos Omar Trejo-Pech & James A. Larson & Burton C. English & T. Edward Yu, 2019. "Cost and Profitability Analysis of a Prospective Pennycress to Sustainable Aviation Fuel Supply Chain in Southern USA," Energies, MDPI, vol. 12(16), pages 1-18, August.
    2. R. K. Blamey & J. W. Bennett & M. D. Morrison, 1999. "Yea-Saying in Contingent Valuation Surveys," Land Economics, University of Wisconsin Press, vol. 75(1), pages 126-141.
    3. Jensen, Kimberly L. & Clark, Christopher D. & Ellis, Pamela & English, Burton C. & Menard, R. Jamey & Walsh, Marie E., 2006. "Farmer Willingness to Grow Switchgrass for Energy Production," 2006 Annual meeting, July 23-26, Long Beach, CA 21355, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. Embaye, Weldensie T. & Bergtold, Jason S. & Archer, David & Flora, Cornelia & Andrango, Graciela C. & Odening, Marting & Buysse, Jeroen, 2018. "Examining farmers' willingness to grow and allocate land for oilseed crops for biofuel production," Energy Economics, Elsevier, vol. 71(C), pages 311-320.
    5. Lynes, Melissa K. & Bergtold, Jason S. & Williams, Jeffery R. & Fewell, Jason E., 2016. "Willingness of Kansas farm managers to produce alternative cellulosic biofuel feedstocks: An analysis of adoption and initial acreage allocation," Energy Economics, Elsevier, vol. 59(C), pages 336-348.
    6. Krinsky, Itzhak & Robb, A Leslie, 1990. "On Approximating the Statistical Properties of Elasticities: A Correction," The Review of Economics and Statistics, MIT Press, vol. 72(1), pages 189-190, February.
    7. James Heckman, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    8. Henry Kaiser, 1958. "The varimax criterion for analytic rotation in factor analysis," Psychometrika, Springer;The Psychometric Society, vol. 23(3), pages 187-200, September.
    9. Zhou, Xia Vivian & Clark, Christopher D. & Nair, Sujithkumar Surendran & Hawkins, Shawn A. & Lambert, Dayton M., 2015. "Environmental and economic analysis of using SWAT to simulate the effects of switchgrass production on water quality in an impaired watershed," Agricultural Water Management, Elsevier, vol. 160(C), pages 1-13.
    10. Van de Ven, Wynand P. M. M. & Van Praag, Bernard M. S., 1981. "The demand for deductibles in private health insurance : A probit model with sample selection," Journal of Econometrics, Elsevier, vol. 17(2), pages 229-252, November.
    11. Krinsky, Itzhak & Robb, A Leslie, 1986. "On Approximating the Statistical Properties of Elasticities," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 715-719, November.
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