Farm Management Optimization Under Uncertainty with Impacts on Water Quality and Economic Risk

dc.contributor.author Emirhüseyinoğlu, Görkem
dc.contributor.author Ryan, Sarah
dc.contributor.department Industrial and Manufacturing Systems Engineering
dc.date.accessioned 2022-02-01T23:08:28Z
dc.date.available 2022-02-01T23:08:28Z
dc.date.issued 2022-02-01
dc.description.abstract Farm management decisions under uncertainty are important not only for farmers trying to maximize their net income but also for policymakers responsible for incentives and regulations to achieve environmental goals. We focus on corn production as a significant contributor to the US Midwest economy. Nitrogen is one of the key nutrients needed to increase production efficiency, but its leaching and loss as nitrate through subsurface flow and agricultural drainage systems poses a threat to water quality. We build a novel two-stage stochastic mixed-integer program to find the annual farm management decisions that maximize the expected farm profit. A decomposition-based solution strategy is suggested to reduce the computational complexity resulting from the predominance of binary variables and complicated constraints. Case study results indicate that farmers may compensate for the additional risks associated with nutrient reduction strategies by increasing the planned nitrogen application rate. Significant financial incentives would be required for farmers to achieve substantial reductions in nitrate loss by fertilizer management alone. The complicated interactions between fertilizer management and crop insurance decisions observed in the numerical study suggest that crop insurance programs can affect water quality by influencing the adoption of environmentally beneficial practices.
dc.description.comments This is an Accepted Manuscript of an article published by Taylor & Francis in IISE Transactions on February 1, 2022. It is available online at DOI: 10.1080/24725854.2022.2031351. Copyright 2022 Taylor & Francis. Attribution-NonCommercial 4.0 International (CC BY-NC 4.0). Posted with permission.
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/KrZJbJXr
dc.language.iso en
dc.publisher Taylor & Francis
dc.source.uri https://doi.org/10.1080/24725854.2022.2031351 *
dc.subject farm management optimization
dc.subject stochastic programming
dc.subject nitrate loss
dc.subject crop insurance
dc.subject fertilizer application
dc.subject.disciplines DegreeDisciplines::Engineering::Operations Research, Systems Engineering and Industrial Engineering::Operational Research
dc.subject.disciplines DegreeDisciplines::Business::Business Administration, Management, and Operations
dc.subject.disciplines DegreeDisciplines::Social and Behavioral Sciences::Agricultural and Resource Economics
dc.subject.disciplines DegreeDisciplines::Physical Sciences and Mathematics::Environmental Sciences::Water Resource Management
dc.title Farm Management Optimization Under Uncertainty with Impacts on Water Quality and Economic Risk
dc.type Article
dspace.entity.type Publication
relation.isAuthorOfPublication 22d808f1-c309-4cb1-8d3e-14c57a6b96a9
relation.isOrgUnitOfPublication 51d8b1a0-5b93-4ee8-990a-a0e04d3501b1
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