In the past decades, risk management in the financial community has been dominated by data-intensive statistical … methods which rely on short historical time series to estimate future risk. Many observers consider this approach as a … least in principle. The authors suggest that the concept of Bayesian risk management may efficiently mobilize the knowledge …

of agent’s risk aversion. Also, uncertainty exhibits different effects on mitigation policy and capital investment … according to the availability of ecosystem services. Importantly, both the risk aversion and the availability of ecosystem …

model captures the feature that the effects of uncertainty are different with different levels of agent's risk aversion. A …

individuals’ attitudes toward risk. It challenges the conventional view that the random lottery incentive mechanism introduces no … biases in inducing risk preferences …