Assessing the consequences of second-generation bioenergy crops for grain/livestock farming on the Canadian prairies: An agent-based simulation

IF 1.3 4区 工程技术 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Simulation Pub Date : 2021-09-04 DOI:10.1080/17477778.2021.1970487
Leigh Anderson, R. Schoney, J. Nolan
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引用次数: 5

Abstract

ABSTRACT In North America, alternative energy policies have been mostly focused on first-generation biofuels. There is continued development of second-generation biofuels (SGB), crops founded upon low-value feedstocks thriving on marginal (low quality) land. SGB’s alter the farming decision environment since they do not compete directly with high-value annual crops. To examine possible future consequences of SGB’s on mixed farming, we develop anagent-based simulation model (ABM) of a major agricultural region in Western Canada. If energy prices for SGB’s rise high enough, there will likely be structural changes in the sector. Farmers with significant quantities of marginal land experience the greatest benefit adopting energy crops. Spillover effects of energy crop adoption will also be felt in the beef industry since cattle numbers will be gradually reduced. Simulation results also indicate that beef farmers are better off with SGB crops since energy crops stabilise farm income as average farm size decreases.
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评估第二代生物能源作物对加拿大大草原谷物/牲畜养殖的影响:基于代理的模拟
在北美,替代能源政策主要侧重于第一代生物燃料。第二代生物燃料(SGB)的持续发展,以低价值原料为基础的作物在边际(低质量)土地上茁壮成长。SGB改变了农业决策环境,因为它们不直接与高价值的一年生作物竞争。为了研究SGB对混合农业未来可能产生的影响,我们开发了加拿大西部一个主要农业区的基于agent的模拟模型(ABM)。如果SGB所需的能源价格上涨到足够高的水平,该行业可能会出现结构性变化。拥有大量边际土地的农民采用能源作物获益最大。采用能源作物的溢出效应也将在牛肉行业感受到,因为牛的数量将逐渐减少。模拟结果还表明,养牛户使用SGB作物会更好,因为随着平均农场规模的减少,能源作物稳定了农场收入。
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来源期刊
Journal of Simulation
Journal of Simulation COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-OPERATIONS RESEARCH & MANAGEMENT SCIENCE
CiteScore
5.70
自引率
16.00%
发文量
42
期刊介绍: Journal of Simulation (JOS) aims to publish both articles and technical notes from researchers and practitioners active in the field of simulation. In JOS, the field of simulation includes the techniques, tools, methods and technologies of the application and the use of discrete-event simulation, agent-based modelling and system dynamics.
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