Participatory Forest Management (PFM) in Tanzania aims to improve forest condition, livelihoods for local people and natural resources governance at the village level. Using data collected from 12 villages and forest areas with (n=10) and without (n=2) participatory forest management across...

This paper investigates the use of Artificial Neural Networks (NN) to forecast volatility. In particular, we assess the dynamic behaviour of market volatility by forecasting the volatility implied in the transaction prices of the Ibex35 index options. The use of the NN technique is done within...

Around 20 years ago, Tanzania adopted the policy of participatory forest management (PFM) to create incentives for increasing villagers’ participation in forest management. The timing is thus fitting to reflect on the achievements and challenges of the PFM process so far. There have certainly...

We apply Bayesian updating theory to model how decision-makers may gradually learn about climate change and make use of this information in making adaptive forest management decisions. We develop modelling steps to i) simulate observation of a multi-dimensional climate system, ii) apply updating...