MULTINATIONAL PROGRAM FOR STATISTICAL CAPACITY BUILDING FOR MANAGING FOR DEVELOPMENT RESULTS (MFDR)
- Référence: P-Z1-K00-060
- Date d’approbation: 26/11/2014
- Date de début: 15/04/2015
- Date d'évaluation: 29/08/2014
- Statut: ApprouvéAPVD
- Agence d'implémentation: AFRICAN DEVELOPMENT BANK
- Emplacement: ALL OF AFRICA
Consonant with its Ten-Year Strategy (2013-2022),the Bank is committed to the Global Agenda on Managing for Development Results which calls for considerable efforts to strengthen capacity within the Bank and in regional member countries (RMCs) to monitor and report on development results that reflect country priorities. This has necessitated a new and more robust monitoring framework anchored on reliable statistics to measure results and address emerging issues such as inclusive and green growth.
While other development agencies contribute to development support mainly at the country level, the Bank had gained recognition for its focus on providing statistical development support in Africa at the sub-regional and regional levels, emphasizing regional public goods (RPGs). In particular, the Bank has gained peer recognition among RMCs as well as development partners as the leading provider of technical assistance and financial support necessary for addressing regional public good activities such as developing methodological approaches, assisting RMCs to adapt international standards and practices in data collection, management and dissemination, as well as training RMC officials on these matters. The AfDB is also the lead convener of RMCs and development partners on statistical development issues in Africa. In the case of the 2010 Round of Population and Housing Census, for instance, this has resulted in the highest participation rate ever by RMCs in the history of population census taking, with 50 countries scheduled to conduct population censuses during this period, as opposed to 38 countries in the 2000 round. With the Bank's Africa Information Highway (AIH) initiative, the Data Revolution, Open Data initiative, and the NSDS, the Bank is ensuring the publication of this population data in real time, as well as ensuring that the data is available to the general public. The Bank has also been the lead agency, in collaboration with the African Union and ECA, in elaborating the Strategy for the Harmonization of Statistics in Africa (SHaSA) and the African Charter for Statistics, both of which were endorsed by all stakeholders including the African Heads of State Summit in 2012 and upon which this program is anchored. This proposed fourth phase of the SCB program is intended to sustain the Bank's central position and move it further along in its quest to become the premier knowledge institution on the continent.
The Bank has established partnerships at the global, regional, and subregional levels and has assumed the leadership role in the technical and financial coordination, advocacy, and statistical development in Africa. The proposed statistical capacity-building program is therefore intended to sustain the Bank's leadership role and commitment to support statistical development efforts in RMCs to meet the data needs for MDGs, the post 2015 development agenda, as well as the Bank's own Ten-Year Strategy. Among others, the statistical capacity-building program occupies a critical catalytic role in mobilizing resources from other development partners and RMCs. Indeed, the resources approved by the Boards for the various phases of SCB will leverage contributions from other donors and RMCs, resulting in total resources many times the size of the Bank's own commitments. It is therefore expected that the current proposal of UA 10 million before the Board will generate over double the amount in contributions from other development partners and regional member countries.
The value added of the Bank is its leadership in Africa in coordinating statistical development activities and in playing a critical catalytic role in resource mobilization and advocacy for statistical development at the national, regional, and international levels. RMCs will benefit from the vast experience the Bank has accumulated in strengthening statistical capacity across Africa.
The Bank will facilitate cross-fertilization through the sharing of best practices and experiences; and by helping RMCs to adapt international standards and practices in data collection, management, and dissemination. In doing this, the Bank will leverage its large network of active partners at the regional, subregional, and country levels.
The beneficiaries will be all the producers and users of statistics, including: national statistical agencies; national policymakers; businesses and investors; researchers and analysts; citizens of RMCs; SROs; and development institutions at national and regional levels, including the Bank.
Availability of better statistics for improved policy and program design, implementation, monitoring and evaluation that facilitate more effective decision-making and good governance for better development outcomes, including poverty reduction. The open data system created will unlock tremendous amount of economic benefits.
NABALAMBA Alice Joy - ECST2