用网络扩散建模大豆种植决策:除草剂漂移是否影响农民盈利能力和种子选择?

IF 1.6 Q2 AGRICULTURAL ECONOMICS & POLICY

Journal of Agricultural and Applied Economics Pub Date : 2023-05-01 DOI:10.1017/aae.2023.17

Jeffrey S. Young, Tanner McCarty, Sarah R. Lancaster, Mandy D. Bish

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引用次数: 0

摘要

美国种植大豆的农民目前正在努力解决麦草畏除草剂漂移的问题。利用一个适应大豆农民网络关键特征的网络扩散框架，我们估计了麦草畏在不同地区漂移所造成的损害。在我们的基线假设下，我们估计平均产量损失为3%，并预测为应对漂移，将有相当大的程度被迫转向抗麦草畏种子。漂移对损害和种子选择的相对重要性在一系列经济和网络假设中都是成立的。在缺乏政策的情况下，这种损害可能导致抗麦草畏大豆种子的区域采用率增加。

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Modeling Soybean Planting Decisions with Network Diffusion: Does Herbicide Drift Affect Farmer Profitability and Seed Selection?

U.S. soybean farmers are currently grappling with dicamba herbicide drift. Using a network diffusion framework that accommodates key features of soybean farmer networks, we estimate the damages incurred from dicamba drift across different regions. Under our baseline assumptions, we estimate an average yield loss of 3% and predict sizable levels of forced switching to dicamba-resistant seed in response to drift. The relative importance of drift on damage and seed choice holds across a range of economic and network assumptions. In the absence of policy, this damage may cause regional adoption rates of dicamba-resistant soybean seed to increase.

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来源期刊

Journal of Agricultural and Applied Economics AGRICULTURAL ECONOMICS & POLICY-

CiteScore

3.30

自引率

5.30%

发文量

审稿时长

8 weeks

期刊介绍： Published on behalf of the Southern Agricultural Economics Association, the Journal of Agricultural and Applied Economics is a forum for creative and scholarly work in agricultural economics and related areas. Contributions on methodology and applications in business, extension, research, and teaching phases of agricultural and applied economics are equally encouraged. As of 2015 (Vol 47), articles are published on an open access basis.