Assessment of production risk in grazing models |
| |
| Institution: | 1. Department of Agricultural and Resource Economics, University of New England, Armidale NSW 2351, Australia;2. Department of Farm and Horticultural Management, Lincoln University, Canterbury, New Zealand;1. INRA, UR143 Recherches Zootechniques, Domaine Duclos, F-97170 Petit bourg, Guadeloupe, France;2. Cabricoop, Rond Point Destrellan, F-97122 Baie mahault, Guadeloupe, France;1. Center for Global Health and Infectious Diseases Research, Department of Global Health, College of Public Health, University of South Florida, Tampa, FL 33612, USA;1. School of Mathematics and Statistics, Northeast Normal University, Changchun, 130024 Jilin, People’s Republic of China;2. Department of Mathematics, Shimane University, Matsue 690-8504, Japan;1. Department of Psychology, City University London, London, EC1V 0HB, UK;2. Department of Cognitive Sciences, 3151 Social Sciences Plaza, University of California, Irvine, CA 92697-5100, USA |
| |
| Abstract: | This paper presents a series of Monte Carlo computer experiments designed to determine the effect of irrigation, stocking rate and lamb drafting weight on the profitability and productivity of a sheep grazing enterprise. The experiments were performed on a hypothetical farm in the Canterbury Plains of New Zealand. Pasture growth parameters were estimated based on a 21-year series of monthly measurements and were used to introduce production risk into the model. The paper demonstrates that, independently of the risk atittude of the producer, it is important to account for the stochastic nature of the environment in an agricultural management model. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
