Early value-for-money adaptation: Delivering VfM adaptation using iterative frameworks and low-regret options
Delivering VfM adaptation using iterative frameworks and low-regret options
As adaptation moves from theory to practice, there is a need to select, prioritise and implement adaptation interventions. At the same time, as DfID starts to finance large adaptation programmes, there is a need to ensure Value-for-Money (VfM). However, the identification and appraisal of options, and the identification of VfM adaptation, are challenging.
To provide support for these challenges, DFID has produced information notes on early adaptation and value for money, including:
- A Report on Early VfM Adaptation
- An Early VfM Adaptation Toolkit
The aim of the Early VfM Adaptation Report is to set out the latest thinking on how to maximise value for money from adaptation programming. It:
- Sets out the latest thinking on iterative adaptation and how to use this to maximise value for money.
- Outlines how to use these iterative frameworks for the early identification and framing of adaptation.
- Provides examples of early adaptation interventions that are likely to be priorities.
This report has been produced by Global Climate Adaptation Partnership (GCAP) for the UK Department for International Development (DFID) Adaptation Knowledge and Tools programme and published through Evidence on Demand.
The Adaptation Knowledge and Tools programme is a DFID-funded programme intended to maximise the effectiveness of UK and international investment in climate change adaptation and resilience. The knowledge and tools generated through this programme are expected to promote greater understanding of what constitutes best practice in adaptation, as well as better international cohesion and coordination around adaptation. Through these entry points the programme expects to increase the quality of international and UK adaptation programming and reduce its risk.
Watkiss, P.; Hunt, A.; Savage, M. Early value-for-money adaptation: Delivering VfM adaptation using iterative frameworks and low-regret options. Evidence on Demand, UK (2014) 57 pp. [DOI: 10.12774/eod_cr.july2014.watkisspetal]