Positive Mathematical Programming to Model Regional or Basin-Wide Implications of Producer Adoption of Practices Emerging from Plot-Based Research

Nicolas Quintana-Ashwell; Gurpreet Kaur; Gurbir Singh; Drew M. Gholson; Chris Delhom; L. Jason Krutz; Shraddha Hegde

doi:10.20944/preprints202109.0297.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 15 September 2021 / Approved: 16 September 2021 / Online: 16 September 2021 (17:50:37 CEST)

A method for calibrating models of agricultural production and resource use presented by Howitt [1] for policy analysis is proposed to leverage multidisciplinary agricultural research at the National Center for Alluvial Aquifer Research (NCAAR). An illustrative example for Sunflower County, MS is presented to show how plot-level research can be extended to draw systemic region or basin wide implications. A hypothetical improvement in yields for dryland soybean varieties is incorporated to the model and shown to have a positive impact on aquifer outcomes and producer profits. The example illustrates that a change in one practice-crop combination can have system-wide impacts as evidenced by the change in acreages for all crops and practices.

Positive mathematical programming; Integrated multidisciplinary research; Aquifer depletion; Land use allocations; Groundwater use; Irrigation; Conservation; Profitability; Water economics; Groundwater; Alluvial aquifer; Row crops; Mississippi Delta; Lower Mississippi River Valley

Business, Economics and Management, Economics

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Positive Mathematical Programming to Model Regional or Basin-Wide Implications of Producer Adoption of Practices Emerging from Plot-Based Research

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