Optimal grazing management rules in semi-arid rangelands with uncertain rainfall
Publikation: Arbeits- oder Diskussionspapiere und Berichte › Arbeits- oder Diskussionspapiere
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Lüneburg: Institut für Volkswirtschaftslehre der Universität Lüneburg, 2011. (University of Lüneburg Working Papers Series in Economics; Nr. 193).
Publikation: Arbeits- oder Diskussionspapiere und Berichte › Arbeits- oder Diskussionspapiere
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TY - UNPB
T1 - Optimal grazing management rules in semi-arid rangelands with uncertain rainfall
AU - Quaas, Martin F.
AU - Baumgärtner, Stefan
PY - 2011/1
Y1 - 2011/1
N2 - We study optimal adaptive grazing management under uncertain rainfall in a discrete-time model. As in each year actual rainfall can be observed during the short rainy season, and grazing management can be adapted accordingly for the growing season, the closed-loop solution of the stochastic optimal control problem does not only depend on the state variable, but also on the realization of the random rainfall. This distinguishes optimal grazing management from the optimal use of most other natural resources under uncertainty, where the closed-loop solution of the stochastic optimal control problem depends only on the state variables. Solving this unusual stochastic optimization problem allows us to critically contribute to a long-standing controversy over how to optimally manage semi-arid rangelands by simple rules of thumb.
AB - We study optimal adaptive grazing management under uncertain rainfall in a discrete-time model. As in each year actual rainfall can be observed during the short rainy season, and grazing management can be adapted accordingly for the growing season, the closed-loop solution of the stochastic optimal control problem does not only depend on the state variable, but also on the realization of the random rainfall. This distinguishes optimal grazing management from the optimal use of most other natural resources under uncertainty, where the closed-loop solution of the stochastic optimal control problem depends only on the state variables. Solving this unusual stochastic optimization problem allows us to critically contribute to a long-standing controversy over how to optimally manage semi-arid rangelands by simple rules of thumb.
KW - Sustainability sciences, Management & Economics
KW - environmental risk
KW - risk management
KW - stochastic optimal control
KW - grazing management
KW - rules of thumb
KW - Economics
KW - environmental risk
KW - risk management
KW - stochastic optimal control
KW - grazing management
KW - rules of thumb
M3 - Working papers
T3 - University of Lüneburg Working Papers Series in Economics
BT - Optimal grazing management rules in semi-arid rangelands with uncertain rainfall
PB - Institut für Volkswirtschaftslehre der Universität Lüneburg
CY - Lüneburg
ER -