Understanding Farmer Input Decision Making

t he m ore o n p rinciple w hy farmer use inputs n.w
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Explore the More-On Principle and its impact on farm input management in agriculture. Learn about the inelasticity of production levels, challenges in identifying optimal input use, and the tendency to overuse inputs due to low costs. Dive into the complexities of maximizing profit in crop production processes.

  • Farming
  • Agriculture
  • Input Management
  • Profit Maximization
  • Environmental Impact

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  1. THE MORE-ON PRINCIPLE: WHY FARMER USE INPUTS LIKE THEY DO AAE 320 Paul D. Mitchell Agricultural and Applied Economics, UW-Madison

  2. Main Point: Environmental Impacts of Agriculture 1) Inelastic (flat) production at or near optimal levels for many inputs, so small profit change over wide input range A wide range of input levels will seem consistent with maximizing profit 2) Impact of inputs on profit is hard to clearly identify with all the variability from other factors Even science has a hard time identifying what s economically optimal 3) Underuse of key inputs is obvious, but overuse is invisible, and inputs are relatively low cost A common human response in situations like these is to put a little more on, especially when inputs are low cost, hence the name: The More-On Principle

  3. Farming a Flat Function For many crop production processes, yield becomes relatively unresponsive to inputs when they are used at near optimal levels Yield Input

  4. Profit becomes Inelastic to Input Levels As a result, profit also has a flat response to the input Profit Input

  5. One Site-Year from Iowa (Mitchell 2004) 1.2 1.0 Yield (% max) 0.8 0.6 0.4 0.2 0.0 0 50 100 150 200 250 300 N Rate (lbs/ac)

  6. Average Corn Yield by N Rate (Mitchell 2004) 1.0 0.9 Average Yield (% Max) 0.8 0.7 0.6 0.5 0.4 0 50 100 150 200 250 300 Nitrogen Rate (lbs/A) PA Waseca MN IN IA Morris MN

  7. Current WI N Recommendations 100 N:Corn price ratio 0.05 0.10 0.15 0.20 Net return to N ($/a) 80 60 40 20 CC - High Yield Potential Soils 0 0 50 100 150 200 250 N rate (lb/a) Source: C. Laboski, UW Soil Science

  8. Corn Returns for Seeding Density (Lauer and Stanger 2006) Source: http://corn.agronomy.wisc.edu/AA/pdfs/A044.pdf

  9. Soybean Returns for Seeding Density and Seed Treatments (Gaspar et al. 2014) http://www.coolbean.info/library/documents/SoybeanTreatmentRisk_2014_FINAL.pdf

  10. Capture (bifenthrin) on Processing Sweet Corn (mean with 95% error bars) 350 300 250 Average Returns 200 150 100 50 0 0 1 2 3 4 5 # Sprays with Capture

  11. Capture (bifenthrin) on Fresh Market Sweet Corn (mean with 95% error bars) 3500 3000 2500 Average Returns 2000 1500 1000 How many sprays would you use? 500 0 0 1 2 3 4 5 6 7 8 9 10 # Sprays with Capture

  12. Summary: Why farmer use inputs like they do 1) Inelastic production at or near optimal levels for many key inputs, so small profit change over wide input range A wide range of input levels will seem consistent with maximizing profit 2) Impact of inputs on profit is hard to clearly identify with all the variability from other factors Even science has a hard time identifying what s economically optimal 3) Underuse of key inputs is obvious, but overuse is invisible, and inputs are relatively low cost A common human response in situations like these is to put a little more on, especially when inputs are low cost, hence the name: the More-On Principle

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