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Why Don’t More Farmers Go Organic? Using A Stakeholder-Informed Exploratory Agent-Based Model to Represent the Dynamics of Farming Practices in the Philippines

机译:为什么没有更多的农民有机?使用基于利益相关者的探索性基于代理的模型来表示菲律宾的耕作方式动态

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In spite of a growing interest in organic agriculture; there has been relatively little research on why farmers might choose to adopt organic methods, particularly in the developing world. To address this shortcoming, we developed an exploratory agent-based model depicting Philippine smallholder farmer decisions to implement organic techniques in rice paddy systems. Our modeling exercise was novel in its combination of three characteristics: first, agent rules were based on focus group data collected in the system of study. Second, a social network structure was built into the model. Third, we utilized variance-based sensitivity analysis to quantify model outcome variability, identify influential drivers, and suggest ways in which further modeling efforts could be focused and simplified. The model results indicated an upper limit on the number of farmers adopting organic methods. The speed of information spread through the social network; crop yields; and the size of a farmer’s plot were highly influential in determining agents’ adoption rates. The results of this stylized model indicate that rates of organic farming adoption are highly sensitive to the yield drop after switchover to organic techniques, and to the speed of information spread through existing social networks. Further research and model development should focus on these system characteristics.
机译:尽管人们对有机农业的兴趣与日俱增;关于为什么农民可能选择采用有机方法的研究相对较少,特别是在发展中国家。为了解决这个缺点,我们开发了一个基于探索者的模型,描绘了菲律宾小农户在稻田系统中实施有机技术的决定。我们的建模练习具有以下三个特征,它是新颖的:首先,座席规则基于研究系统中收集的焦点小组数据。第二,模型中建立了社交网络结构。第三,我们利用基于方差的敏感性分析来量化模型结果的变异性,确定有影响力的驱动因素,并提出聚焦和简化进一步建模工作的方法。模型结果表明采用有机方法的农民人数上限。通过社交网络传播信息的速度;农作物产量;农民的土地面积对决定代理商的采用率有很大的影响。该程式化模型的结果表明,有机农业的采用率对转换为有机技术后的产量下降以及通过现有社交网络传播的信息速度高度敏感。进一步的研究和模型开发应关注这些系统特性。

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