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| | | Title | Africa Capacity Indicators Data Tool | | Author | ACBF | | Subject | Capacity Development | | Date of Publication | 2013 | | Language | English | | Geographical Coverage | Africa, Angola, Benin, Botswana, Burkina Faso, Burundi, Cameroon, Cape Verde, central Africa Republic, Chad, Congo DRC, Congo-Brazzaville, Cote d'voire, Djibouti, Ethiopia, Gabon, Gambia, Ghana, Guinea, kenya, Lesotho, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mozambique, Namibia, Niger, Nigeria, Rwanda, Senegal, Sierra Leone, South Africa, Swaziland, Tanzania, Togo, Uganda, Zambia, Zimbabwe | | Keywords | Statistical Indices, Aid Effectiveness, Gender Equality, Agriculture, Food Security, Natural Resource Management | | Abstract | The African Capacity Building Foundation (ACBF) launched the inaugural version of its Africa Capacity Indicators Flagship Report in 2011. The Africa Capacity Indicators Report (ACIR) measures and empirically assesses capacity in relation to the development agenda in African countries. The ACIR also highlights key determinants and components of capacity for development. To this end, the ACIR maps out the capacity development landscape in Africa with the goal of sharpening the focus on capacity deficits as a major development policy issue. The ACI (Africa Capacity Index) is the report’s primary index, and the signature trademark of the ACI Report, which is published annually. The Africa Capacity Index (ACI) is a composite index computed from four sub-indices, each of which is an aggregated measure calculated on the basis of both a quantitative and a qualitative assessment of various components that form a cluster. Cluster analysis was used to generate the sub measures. The clusters cover the following dimensions: policy environment; processes for implementation; development results at country level; and capacity development outcomes. The ACI index is a harmonically-weighted aggregation of the four clusters sub-indices. The four clusters indices are the arithmetic mean of their underlying variables. There are also seven thematic indices. They are based on the same dataset as the primary ACI index, but these are grouped in different combinations according to the thematic area. They are the following: i) Policy choices for capacity development; ii) Aid effectiveness related to capacity development; iii) Gender equality and social inclusion; iv) Partnering for capacity development; v) Capacity profiling and capacity needs assessment; vi) Inputs related to capacity development; and vii) Outputs related to capacity development. Additional independent composite indices are computed annually. They relate to the ACIR annual theme. Each of the additional independent indices is calculated the same way as the main ACI index; however with different variables. So far, two additional independent indices have been launched: the agricultural transformation and food security index (ACIAgric) in 2012; and the natural resource management index (ACI NRM) in 2013. The Economist Intelligence Unit (EIU) assisted the African Capacity Building Foundation (ACBF) in developing and building this interactive dashboard in Microsoft Excel. All content - including the data, index methodology and text - was devised by the ACBF. ACIR interactive dashboard is a high-impact data visualization tool that seeks to assist practitioners, knowledge workers, policy makers, etc., access the right information at the appropriate time to undertake evidence-based decision. The graphical interface simplifies the 2011-2013 ACIR data such that one can see what's happening at a glance. It also provides the complete data base of statistics for the three years. The ACIR interactive dashboard does more than just provide a read-out – it is highly interactive, enabling you to perform point-and-click analysis, country and RECs comparisons, scatter plots, etc., easily predicting the outcome of changing variables or circumstances with greater accuracy. | | Copyright Holder | ACBF | | Copyright URL | http://www.acbf-pact.org | | Filesize | 5079040 MB | | File Format | XLS | | [ View / download original document ] |
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