Foreign economic-aid-related services

Tender description

SHARPE aims to strengthen the economies of refugee hosting populations in Ethiopia via long-term interventions to promote refugee self-reliance in protracted crises.The multi-year programme is expected to improve the quality of life and reduce vulnerability of refugees, host communities and migrants in underdeveloped, peripheral regions of Ethiopia. The supplier is to deliver large scale improvements to peoples’ lives by utilising local systems and facilitating improvements in those systems, working in co-operation with existing local actors including firms, government, NGOs and potentially others. The expected result includes increased self-reliance, gradually reduced dependency on external support, and enhanced sustainability of the response provision through livelihoods and vocational training linked to the market economy, and through increasing local government capacity to provide basic services. The contract will be awarded for up to 24 000 000 GBP (inclusive of VAT if applicable) for a period of 3,5 years expected to commence in 2019 and end in 2023. DFID may, in agreement with the supplier, extend the contract beyond 3,5 years for up to an additional 2 years (24 months) and up to an additional 12 000 000 GBP subject to programme and supplier performance, the need and situation on the ground. The programme will follow the Market systems development (MSD) approach. The objectives of this approach are to deliver large-scale, sustained improvements in people’s lives by utilising local systems and facilitating change in those systems to improve outcomes. The approach is characterised by: — focus on the supporting functions and rules which determine the terms of a transaction within a market system as the key area for intervention, — working with and through existing actors to change behaviour, — a facilitative approach leveraging the capacities and incentives of partners rather than providing the incentive as a development actor, seeking to ensure sustainable change, — a focus on the utilisation of data for adaptive management resulting in iterative and flexible intervention design.