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A model for sustainable land use in biofuel production: An application to the state of Alabama

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  • Affuso, Ermanno
  • Hite, Diane

Abstract

The Renewable Fuel Standard aims to increase the production of biofuels to improve energy efficiency and decrease carbon dioxide emissions in the US. The effectiveness of this regulation is being debated by the scientific community regarding carbon emissions from direct and indirect land-use change. A valid alternative may be to design policies that stimulate sustainable land use in biofuel production. This article develops a model that simulates a voluntary program to increase the land use efficiency in production of biofuels. This stochastic dynamic model optimizes the sustainability of biofuels producible by including climate information and participatory decisions on land use. The model is parameterized using the Maximum Entropy econometric technique to present a simulation of the program in the State of Alabama. The results of this simulation show that participatory decisions on land-use may increase the net energy value of produced biofuel up to 215.68% and reduce the carbon emissions by 19.67% towards the state energy goals.

Suggested Citation

  • Affuso, Ermanno & Hite, Diane, 2013. "A model for sustainable land use in biofuel production: An application to the state of Alabama," Energy Economics, Elsevier, vol. 37(C), pages 29-39.
    • Handle: RePEc:eee:eneeco:v:37:y:2013:i:c:p:29-39
    DOI: 10.1016/j.eneco.2013.01.003
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    1. Dian Iriani, Latifah & Widodo, Tri, 2019. "The Implication of B20 Policy on Environment," MPRA Paper 91313, University Library of Munich, Germany.
    2. Zhang, Dengjun & Asche, Frank & Oglend, Atle, 2014. "Ethanol and trade: An analysis of price transmission in the US market," Energy Economics, Elsevier, vol. 42(C), pages 1-8.
    3. Si, Chengyu & Nadolnyak, Denis, 2018. "The Effects of Government Payments on Agricultural Land Use," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266628, Southern Agricultural Economics Association.
    4. Long, Huiling & Li, Xiaobing & Wang, Hong & Jia, Jingdun, 2013. "Biomass resources and their bioenergy potential estimation: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 26(C), pages 344-352.
    5. Affuso, Ermanno, 2017. "Food Security and Climate Change in Guyana," Farm and Business - The Journal of the Caribbean Agro-Economic Society, Caribbean Agro-Economic Society, vol. 9(1), December.
    6. Dohnal, Mirko, 2016. "Complex biofuels related scenarios generated by qualitative reasoning under severe information shortages: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 676-684.

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