A model of pollution control subject to two types of uncertainty is presented. First, the natural decay of the pollution stock follows stochastic dynamics that drives a diffusion pollution process (“stochastic uncertainty”). Moreover, the damage coefficient which determines the amount of...

The adaptation vs. mitigation dilemma is considered by analyzing a simple dynamic model of managing a polluting process subject to the risk of abrupt occurrences of harmful events. The occurrence hazard can be mitigated by reducing the polluting emissions, while the occurrence damage can be...

We develop a simple model of managing a system subject to pollution damage, such as climate change, under the risk of an abrupt and random jump in the damage function. The model allows the full dynamic characterization of the optimal emission policies under uncertainty. The results imply...

We develop a simple model of managing a system subject to pollution damage under risk of an abrupt and random jump in the damage coefficient. The model allows the full dynamic characterization of the optimal emission policies under uncertainty. The results, that imply prudent behavior due to...

We develop a simple model of managing a system subject to pollution damage under risk of an abrupt and random jump in the damage coefficient. The model allows the full dynamic characterization of the optimal emission policies under uncertainty. The results, that imply prudent behavior due to...