Agent-based spatial models applied to agriculture: a simulation tool for technology diffusion, resource use changes and policy analysis

Agent-based spatial models applied to agriculture: a simulation tool for technology diffusion, resource use changes and policy analysis
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DOI:
10.1111/j.1574-0862.2001.tb00205.x
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发表时间:
2001-09-01
影响因子:
4.1
通讯作者:
Berger, T
Berger, T
中科院分区:
经济学3区
文献类型:
--
作者:
Berger, T

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本文提出了一个空间多主体规划模型,该模型已被开发用于评估创新扩散和资源使用变化的政策选择。与农业经济学中使用的传统模拟工具不同,这里描述的模型类通过使用异构农场-家庭模型并显式捕获它们的社会和空间交互来应用多代理/元胞自动机(CA)方法。农户在生产、消费、投资和营销等方面的选择是用递归线性规划模型来表示的。采用限制的形式引入网络阈值,反映了经验和同行的经验观察的累积效应。该模型的经济和水文组成部分紧密连接到一个空间框架。经济过程和水文过程的结合有助于在灌溉用水中考虑反馈效应。该模型的模拟运行进行了经验数据集,这是来自不同的数据来源,在智利的农业地区。仿真结果表明,基于代理的空间建模构成了一个强大的方法,以更好地了解创新和资源使用变化的过程。(C)2001年爱思唯尔科学BN。All rights reserved.
This paper presents a spatial multi-agent programming model, which has been developed for assessing policy options in the diffusion of innovations and resource use changes. Unlike conventional simulation tools used in agricultural economics, the model class described here applies a multi-agent/cellular automata (CA) approach by using heterogeneous farm-household models and capturing their social and spatial interactions explicitly. The individual choice of the farm-household among available production, consumption, investment and marketing alternatives is represented in recursive linear programming models. Adoption constraints are introduced in form of network-threshold values that reflect the cumulative effects of experience and observation of peers' experiences. The model's economic and hydrologic components are tightly connected into a spatial framework. The integration of economic and hydrologic processes facilitates the, consideration of feedback effects in the use of water for irrigation. The simulation runs of the model are carried out with an empirical data set, which has been derived from various data sources on an agricultural region in Chile. Simulation results show that agent-based spatial modelling constitutes a powerful approach to better understanding processes of innovation and resource use change. (C) 2001 Elsevier Science BN. All rights reserved.