Agent-based model of repeated conservation auctions in low-income countries (1.0.0)
Our model allows simulating repeated conservation auctions in low-income countries. It is designed to assess policy-making by exploring the extent to which non-targeted repeated auctions can provide biodiversity conservation cost-effectively, while alleviating poverty. Targeting landholders in order to integrate both goals is claimed to be overambitious and underachieving because of the trade-offs they imply. The simulations offer insight on the possible outcomes that can derive from implementing conservation auctions in low-income countries, where landholders are likely to be risk averse and to face uncertainty.
Release Notes
The model is written in Java using the ABM framework Repast Symphony. There are no external dependencies needed to run the model
Associated Publications
Agent-based model of repeated conservation auctions in low-income countries 1.0.0
Submitted by
Sebastian Rasch
Published Mar 22, 2020
Last modified Mar 22, 2020
Our model allows simulating repeated conservation auctions in low-income countries. It is designed to assess policy-making by exploring the extent to which non-targeted repeated auctions can provide biodiversity conservation cost-effectively, while alleviating poverty. Targeting landholders in order to integrate both goals is claimed to be overambitious and underachieving because of the trade-offs they imply. The simulations offer insight on the possible outcomes that can derive from implementing conservation auctions in low-income countries, where landholders are likely to be risk averse and to face uncertainty.
Release Notes
The model is written in Java using the ABM framework Repast Symphony. There are no external dependencies needed to run the model