16 research outputs found

    A Farm-Level Evaluation of Conditions Under Which Farmers Will Supply Biomass Feedstocks for Energy Production

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    This study evaluated the risk management potential of including biomass crops as a diversification strategy for a grain farm in northwest Tennessee. Results indicate that adding biomass crops to the farm enterprise mix could improve mean net revenues and reduced net revenue variability.Resource /Energy Economics and Policy,

    U.S. Billion-ton Update: Biomass Supply for a Bioenergy and Bioproducts Industry

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    The Report, Biomass as Feedstock for a Bioenergy and Bioproducts Industry: The Technical Feasibility of a Billion-Ton Annual Supply (generally referred to as the Billion-Ton Study or 2005 BTS), was an estimate of “potential” biomass within the contiguous United States based on numerous assumptions about current and future inventory and production capacity, availability, and technology. In the 2005 BTS, a strategic analysis was undertaken to determine if U.S. agriculture and forest resources have the capability to potentially produce at least one billion dry tons of biomass annually, in a sustainable manner—enough to displace approximately 30% of the country’s present petroleum consumption. To ensure reasonable confidence in the study results, an effort was made to use relatively conservative assumptions. However, for both agriculture and forestry, the resource potential was not restricted by price. That is, all identified biomass was potentially available, even though some potential feedstock would more than likely be too expensive to actually be economically available. In addition to updating the 2005 study, this report attempts to address a number of its shortcoming

    Economic Competitiveness of Bioenergy Production and Effects on Agriculture of the Southern Region

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    The economic competitiveness of biobased industries is discussed by comparing the South relative to other regions of the United States and biomass as a feedstock source relative to fossil fuels such as coal and petroleum. An estimate of the biomass resource base is provided. Estimated changes in the agricultural sector over time resulting from the development of a large-scale biobased industry are reported, and a study on the potential to produce electricity from biomass compared with coal in the southern United States is reviewed. A biobased industry can increase net farm income and enhance economics development and job creation

    A Farm-Level Evaluation of Conditions Under Which Farmers Will Supply Biomass Feedstocks for Energy Production

    No full text
    This study evaluated the risk management potential of including biomass crops as a diversification strategy for a grain farm in northwest Tennessee. Results indicate that adding biomass crops to the farm enterprise mix could improve mean net revenues and reduced net revenue variability

    Economic Competitiveness of Bioenergy Production and Effects on Agriculture of the Southern Region

    No full text
    The economic competitiveness of biobased industries is discussed by comparing the South relative to other regions of the United States and biomass as a feedstock source relative to fossil fuels such as coal and petroleum. An estimate of the biomass resource base is provided. Estimated changes in the agricultural sector over time resulting from the development of a large-scale biobased industry are reported, and a study on the potential to produce electricity from biomass compared with coal in the southern United States is reviewed. A biobased industry can increase net farm income and enhance economics development and job creation.biobased industries, biomass, cofire, energy, ethanol, lignocellulosic, Resource /Energy Economics and Policy, Q42, Q41, R15, Q11,

    Eastern U.S. Cattle Producer Willingness to Adopt Prescribed Grazing

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    A triple hurdle model is used to estimate cattle farmer willingness to adopt prescribed grazing on farmland east of the 100th meridian in response to a hypothetical incentive program. First the interest in adoption is modeled, then willingness to accept a hypothetical incentive, followed by modeling of acreage converted. Farm size did not influence program interest, but positively impacted acres converted among those interested. The supply elasticity of program acres with respect to an incentive is 0.13; thus an additional percent incentive is projected to result in an additional 0.13 percent of acres enrolled into the program on owned acres
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