A decision analysis framework for development planning and performance measurement: application to land restoration investments

While the principles of sustainable development are widely accepted, considering these principles effectively during implementation planning and performance measurement remains a challenge. We argue that predominantly-used results-based approaches, which monitor performance against predefined targets and indicators, are ill-suited to performance management of complex systems, such as sustainable land management. These approaches tend to cause distortions and may even constrain performance. As an alternative, we propose a decision analysis framework, Stochastic Impact Evaluation (SIE), that considers multiple goals and trade-offs. This framework produces decision recommendations that are based on the current state of knowledge and designs measurements to reduce decision uncertainty. We describe how SIE can be used to prioritise measurements through value of information analysis and to evaluate impact and improve adaptive management.

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