Agri-environmental payments based on results from simulation models

From a theoretical perspective making agri-environmental payments based on results is preferable to action-based schemes. Results-based scheme have however two practical disadvantages: the costs of measuring results and payment uncertainty for farmers. In this project we investigate an alternative design for resolving these two hinders through using simulation models to predict results, rather than measuring them on all farms. The project will be finished in 2021.

Responsible: Mark Brady 


Mark Brady

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