Discovering different patterns inside Sub-Saharan countries defining more homogeneous clusters to simulate specific trade policies
Free trade areas (FTA) initiatives (and/or academic simulations) to stimulate economic growth in African Sub-Saharan countries (SSC) have demonstrated wide heterogeneous results depending on the economic structure of each country. The value added chain structure plays a crucial role determining the real effect of such type of measures as economic triggers (see Mohan et Al, 2013). Additionally, the lack of statistical information is certainly a problem when trying to analyse the effect of these policies for the majority of the SSC. With the aim of use Computable General Equilibrium Models (CGE) for this goal (as usual), Social Accounting Matrices (SAM) are required and, unfortunately, they are not often available but for a reduced amount of countries in this subcontinent. In order to partially solve this problem, we propose a comparison between the data recorded in these SAMs and another database containing socioeconomic information.
Image: ©IRD - Luce, Arnaud