In a continuous-time framework we study the technology and investment choice problem of a continuous co-digestion biogas plant dealing with randomly fluctuating relative convenience of input factor costs. Input factors enter into the productive process together mixed according to a given initial...

In this paper, we use stochastic dynamic programming to model the choice of a municipality which has to design an optimal waste management program under uncertainty about the price of recyclables in the secondary market. The municipality can, by undertaking an irreversible investment, adopt a...

In this paper stochastic dynamic programming is used to investigate land conversion decisions taken by a multitude of landholders under uncertainty about the value of environmental services and irreversible development. We study land conversion under competition on the market for agricultural...

In this article we study the long-run average rate of forest conversion in Brazil. Deforestation results from the following trade-off: on the one hand, the uncertain value of benefits associated with forest conservation (biodiversity, carbon sequestration and other ecosystem services), on the...

In a competitive industry where production entails a negative externality, a welfare-maximizing regulator considers, as control instruments, setting a cap on the industry output or levying an output tax. We embed this scenario within a dynamic setup where market demand is stochastic and market...

Climate change and emerging pest and diseases may negatively affect coffee yields and revenues in some Ethiopian regions. Hence, the relocation of coffee farms to other areas has been suggested. In this paper, we study how sunk establishment costs, uncertain net returns, and policy induced...

In a competitive industry where production entails a negative externality, a welfare-maximizing regulator considers, as control instruments, setting a cap on the industry output or levying an output tax. We embed this scenario within a dynamic setup where market demand is stochastic and market...

In this paper we study the optimal forest conservation policy by a hyperbolically discounting society. Society comprises a series of non-overlapping imperfectly altruistic generations each represented by its own government. Under uncertainty about future pay-offs we determine, as solution of an...

In this paper stochastic dynamic programming is used to investigate habitat conservation by a multitude of landholders under uncertainty about the value of environmental services and irreversible development. We study land conversion under competition on the market for agricultural products when...