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Stochastic Rangeland Use under Capital Constraints
Authors:Mimako  Kobayashi  Richard E  Howitt  Lovell S  Jarvis  Emilio A  Laca
Institution:Mimako Kobayashi is agricultural economist, Center for Animal Disease Modeling and Surveillance (CADMS), School of Veterinary Medicine, University of California, Davis;Richard E. Howitt and Lovell S. Jarvis are professors, Department of Agricultural and Resource Economics, University of California, Davis;and Emilio A. Laca is associate professor, Department of Plant Sciences, University of California, Davis.
Abstract:The stocking density on Kazakhstan's extensive rangelands is well below traditional levels. To analyze dynamic flock performance, we develop a stochastic dynamic programming model for livestock systems with stochastic forage production. The model contains continuous five state and 12 control variables, allowing improved characterization of the biophysical relationships and economic tradeoffs inherent in such systems. Most Kazakhstan herders have restricted access to capital. The model indicates that the cost of capital strongly affects flock size and productivity. We conclude that capital constraints are important to explaining the current low stocking density. Improving capital markets in rural areas warrants policy attention.
Keywords:extensive livestock production  Kazakhstan  stochastic dynamic programming  transition economies
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