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首页> 外文期刊>Energy economics >Biofuel supply chain design under competitive agricultural land use and feedstock market equilibrium
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Biofuel supply chain design under competitive agricultural land use and feedstock market equilibrium

机译:竞争性农业土地利用与原料市场均衡下的生物燃料供应链设计

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摘要

The rapid expansion of the biofuel industry diverts a large amount of agricultural crops as energy feedstocks, and in turn affects farm land allocation, feedstock market equilibrium, and agricultural economic development in local areas. In this paper, we propose game-theoretic models that incorporate farmers' decisions on land use and market choice into the biofuel manufacturers' supply chain design problem. A noncoopera-tive bi-level Stackelberg leader-follower game model and a cooperative game model are developed respectively to address possible business partnership scenarios between feedstock suppliers and biofuel manufacturers. The models determine the optimal number and locations of biorefineries, the required prices for these refineries to compete for feedstock resources, as well as farmers' land use choices between food and energy. Using corn as an example of feedstock crops, spatial market equilibrium is utilized to model the relationship between corn supply and demand, and the associated price variations in local grain markets. With linear corn demand functions, we develop a solution approach that transforms the original discrete mathematical program with equilibrium constraints (DC-MPEC) into to a solvable mixed integer quadratic programming (MIQP) problem based on Karush-Kuhn-Tucker (KKT) conditions. The proposed methodology is illustrated using an empirical case study of the Illinois State. The computation results reveal interesting insights into optimal land use strategies and supply chain design for the emerging "biofuel economy".
机译:生物燃料产业的迅速发展转移了大量的农作物作为能源原料,进而影响了农地分配,原料市场均衡以及当地的农业经济发展。在本文中,我们提出了博弈论模型,该模型将农民对土地使用和市场选择的决策纳入生物燃料制造商的供应链设计问题中。分别开发了非合作性的双层Stackelberg领导者跟随者博弈模型和合作博弈模型,以解决原料供应商和生物燃料制造商之间可能的商业伙伴关系场景。这些模型确定了生物炼油厂的最佳数量和位置,这些炼油厂争夺原料资源所需的价格,以及农民在粮食和能源之间的土地使用选择。以玉米为原料作物为例,利用空间市场均衡来模拟玉米供需之间的关系以及当地粮食市场的相关价格变化。利用线性玉米需求函数,我们开发了一种解决方法,该方法将具有均衡约束的原始离散数学程序(DC-MPEC)转换为基于Karush-Kuhn-Tucker(KKT)条件的可解决的混合整数二次规划(MIQP)问题。使用伊利诺伊州的案例研究说明了所提出的方法。计算结果揭示了针对新兴的“生物燃料经济”的最佳土地利用策略和供应链设计的有趣见解。

著录项

  • 来源
    《Energy economics》 |2012年第5期|p.1623-1633|共11页
  • 作者单位

    Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, United States;

    Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, United States;

    Department of Industrial & Enterprise Systems Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, United States;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    biofuel; supply chain; land use; spatial market equilibrium; MPEC;

    机译:生物燃料供应链;土地利用;空间市场均衡;亚太经合组织;

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