countries. To examine the effects of public risk management programs onoptimal nitrogen fertilizer use and land allocation to …

management.The second chapter (Hoyle and Cameron 2003, published in Fisheries Management and Ecology) focuses on uncertainty in … modelling to integrated Bayesian modelling using MCMC, via bootstrapping and stochastic simulation. It also covers a broad range … path by looking at genetic mark-recapture in a fisheries management context. Genetic mark-recapture was developed for …

Risk and uncertainty in a water market will generate trading patterns that differ from those expected under conditions … generated by differences in risk. Some farmers will choose to reduce relative risk by purchasing additional water rights whereas … permanent rights markets, farmers who are better able to bear risk are more likely to participate in the spot market than those …

broadacre agriculture using non-linear three-stage least squares. This gives a new method of estimating risk aversion … situations. Australian farmers are found to be risk averse, and the partial coefficient of risk aversion decreases with wealth … using a completely different method. This consistency suggests that the partial risk aversion coefficient is a relatively …

qualities).Due to this lack of market transparency buyers run the risk to paypremium prices for inferior products (quality risks …); furthermore,they run the risk to use or consume substances which are harmful(health risks). Therefore, they will want to design … opportunistic behaviour. We identify abinary stochastic moral hazard model which is able to represent themicroeconomic situation of …

implication to the risk management is the yield risk may be underestimated under the common selection -- Beta distribution. A …

Options on agricultural futures are popular financial instruments used for agricultural price risk management and to … resolution of uncertainty in corn supply is resolved between late June and middle of October, i.e. during corn growth phases that …