Implementing the CAADP Results Framework at country level

In the framework of the 45th session of the UN Statistical Commission, a side-event was co-organized by the African Union Commission (AUC), the New Planning and Coordinating Agency (NPCA), FAO, USAID and the World Bank to discuss the CAADP Results Framework as the principal mechanism for coordinating demand for reform on agricultural statistics and to review the possibilities for collaboration with the Global Strategy to improve Agricultural and Rural Statistics.

The event was an opportunity to discuss both the demand (from CAADP) and supply (from the Global Strategy) aspects of agricultural statistics and to identify synergies between agricultural investment plans in the country on the one hand, and the strategic plans for developing agricultural and rural statistics (SPARS) on the other.

Representatives from AUC, World Bank and FAO identified the main possible next steps in taking this agenda forward as follows:

  1. Finalize the CAADP Results framework through a on-going consultative process resulting in a clarification of indicators and targets in line with the minimum set of core data of the Global Strategy.
  2. Integrate key indicators from the CAADP Results Framework as a basis for the development of SPARS at country level so as to ensure that the relevant data will become available.
  3. Forge a global partnership and put in place coordination mechanisms between the major players that function both at continental and country level.
  4. Develop and implement a continental network for capacity building and methodology development in statistics in the context of the MDTF2 (Multi Donor Trust Fund 2).
  5. Identify financing Instruments (grants, loans), either through regional International Development Association (IDA) and other potential donors, and/or through MDTF2 for design and implementation of the SPARS.
  6. Commence the design of SPARS in initial countries, based on in-depth country assessments requiring further in-depth country assessments for determining statistical priorities.

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