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Organizational Preferences and Producer Characteristics in Biomass Supply Chains

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  • Altman, Ira J.
  • Johnson, Thomas G.
  • Moon, Wanki

Abstract

Organizational costs in biomass transactions could be a key barrier to commercial development of cellulosic-based industries and will influence the organizational choices of biomass producers and bioenergy processors. Understanding biomass producer characteristics and preferences will be important to the future development of renewable industries like cellulosic ethanol. This paper examines survey data that identify assets biomass producers currently own, services they are willing to provide, and their preferences for selling mechanisms. A transaction cost model is used to analyze producers’ organizational preferences in a multinomial logit empirical framework.

Suggested Citation

  • Altman, Ira J. & Johnson, Thomas G. & Moon, Wanki, 2010. "Organizational Preferences and Producer Characteristics in Biomass Supply Chains," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 28(2), pages 1-12.
    • Handle: RePEc:ags:jloagb:131368
    DOI: 10.22004/ag.econ.131368
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    File URL: https://ageconsearch.umn.edu/record/131368/files/JAB_Fall2010__04.pdf
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    References listed on IDEAS

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    1. Altman, Ira J. & Sanders, Dwight R. & Boessen, Christian R., 2007. "Applying Transaction Cost Economics: A Note on Biomass Supply Chains," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 25(1), pages 1-8.
    2. Altman Ira J & Klein Peter G. & Johnson Thomas G., 2007. "Scale and Transaction Costs in the U.S. Biopower Industry," Journal of Agricultural & Food Industrial Organization, De Gruyter, vol. 5(1), pages 1-19, December.
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    Cited by:

    1. Galik, Christopher S., 2015. "Exploring the determinants of emerging bioenergy market participation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 107-116.
    2. Altman, Ira & Bergtold, Jason & Sanders, Dwight & Johnson, Tom, 2015. "Willingness to supply biomass for bioenergy production: A random parameter truncated analysis," Energy Economics, Elsevier, vol. 47(C), pages 1-10.

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