Abstract
Stochastic plateau production functions provide improved fertilizer recommendations based on multi-year agronomic experiments where weather and other stochastic variables change over time. This research assesses the profitability of no-Tillage corn production in northeastern Colorado and determines economically optimal nitrogen fertilizer rates. It also proposes an alternative parameterization of the linear response stochastic plateau model which provides a robustness check against traditional parameterizations. Results show the current use of nitrogen fertilizer in the area exceeds estimated economically optimal levels. This suggests that a reduction in nitrogen use could increase expected profits and simultaneously reduce environmental costs.
Original language | English (US) |
---|---|
Pages (from-to) | 613-623 |
Number of pages | 11 |
Journal | Journal of Agricultural and Applied Economics |
Volume | 52 |
Issue number | 4 |
DOIs | |
State | Published - Nov 2020 |
Keywords
- Monte Carlo
- corn
- linear response stochastic plateau
- nitrogen
- no-Tillage
- non-linear mixed-effects models
- random parameters
- switching regression
ASJC Scopus subject areas
- Agricultural and Biological Sciences (miscellaneous)
- Economics and Econometrics