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Biomass supply contract pricing and environmental policy analysis: A simulation approach

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  • Huang, Shiyang
  • Hu, Guiping

Abstract

This paper proposes an agent-based simulation model to study the biomass supply contract pricing and policy making in the biofuel industry. In the proposed model, the agents include farmers and a biofuel producer. Farmers' decision-making is assumed to be profit driven, which is formulated as a mixed-integer optimization model, and the biofuel producer's pricing decision is represented with a linear equation with an objective to maximize profits. A case study based on Iowa has been developed to analyze the interactions between the stakeholders and assist determination of the optimal pricing equation for the biofuel producer. Simulation results show that under such a pricing strategy, the biofuel producer can achieve higher profitability than using a fixed price. The impact of government environmental regulations on farmers' decision-making and biomass supply has also been analyzed, and managerial insights have been derived.

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  • Huang, Shiyang & Hu, Guiping, 2018. "Biomass supply contract pricing and environmental policy analysis: A simulation approach," Energy, Elsevier, vol. 145(C), pages 557-566.
    • Handle: RePEc:eee:energy:v:145:y:2018:i:c:p:557-566
    DOI: 10.1016/j.energy.2018.01.015
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    1. Duffy, Michael, 2012. "Value of Soil Erosion to the Land Owner," Staff General Research Papers Archive 34959, Iowa State University, Department of Economics.
    2. Smeets, Edward M.W. & Lewandowski, Iris M. & Faaij, André P.C., 2009. "The economical and environmental performance of miscanthus and switchgrass production and supply chains in a European setting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1230-1245, August.
    3. Ian J. Bonner & Kara G. Cafferty & David J. Muth & Mark D. Tomer & David E. James & Sarah A. Porter & Douglas L. Karlen, 2014. "Opportunities for Energy Crop Production Based on Subfield Scale Distribution of Profitability," Energies, MDPI, vol. 7(10), pages 1-18, October.
    4. Janssen, Sander & van Ittersum, Martin K., 2007. "Assessing farm innovations and responses to policies: A review of bio-economic farm models," Agricultural Systems, Elsevier, vol. 94(3), pages 622-636, June.
    5. Valenzuela, Jorge & Thimmapuram, Prakash R. & Kim, Jinho, 2012. "Modeling and simulation of consumer response to dynamic pricing with enabled technologies," Applied Energy, Elsevier, vol. 96(C), pages 122-132.
    6. Christian Almeder & Margaretha Preusser & Richard F. Hartl, 2009. "Simulation and optimization of supply chains: alternative or complementary approaches?," Springer Books, in: Herbert Meyr & Hans-Otto Günther (ed.), Supply Chain Planning, pages 29-53, Springer.
    7. Thomas Berger & Christian Troost, 2014. "Agent-based Modelling of Climate Adaptation and Mitigation Options in Agriculture," Journal of Agricultural Economics, Wiley Blackwell, vol. 65(2), pages 323-348, June.
    8. Berger, Thomas, 2001. "Agent-based spatial models applied to agriculture: a simulation tool for technology diffusion, resource use changes and policy analysis," Agricultural Economics, Blackwell, vol. 25(2-3), pages 245-260, September.
    9. Berger, Thomas & Schreinemachers, Pepijn & Woelcke, Johannes, 2006. "Multi-agent simulation for the targeting of development policies in less-favored areas," Agricultural Systems, Elsevier, vol. 88(1), pages 28-43, April.
    10. Kathrin Happe & Hauke Schnicke & Christoph Sahrbacher & Konrad Kellermann, 2009. "Will They Stay or Will They Go? Simulating the Dynamics of Single‐Holder Farms in a Dualistic Farm Structure in Slovakia," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 57(4), pages 497-511, December.
    11. Bai, Yun & Ouyang, Yanfeng & Pang, Jong-Shi, 2012. "Biofuel supply chain design under competitive agricultural land use and feedstock market equilibrium," Energy Economics, Elsevier, vol. 34(5), pages 1623-1633.
    12. Grinblatt, Mark & Titman, Sheridan, 1983. "Factor pricing in a finite economy," Journal of Financial Economics, Elsevier, vol. 12(4), pages 497-507, December.
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    Cited by:

    1. Abbas Hamze & Yassine Ouazene & Nazir Chebbo & Imane Maatouk, 2019. "Multisources of Energy Contracting Strategy with an Ecofriendly Factor and Demand Uncertainties," Energies, MDPI, vol. 12(20), pages 1-24, October.
    2. Hu, Kejia & Chen, Yuche, 2019. "Equilibrium fuel supply and carbon credit pricing under market competition and environmental regulations: A California case study," Applied Energy, Elsevier, vol. 236(C), pages 815-824.
    3. Brinkman, Marnix L.J. & Wicke, Birka & Faaij, André P.C. & van der Hilst, Floor, 2019. "Projecting socio-economic impacts of bioenergy: Current status and limitations of ex-ante quantification methods," Renewable and Sustainable Energy Reviews, Elsevier, vol. 115(C).

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