The experience of the last 50 years of international cooperation indicates that improving the understanding of the inter-relations among different variables linked with economic and human development can be an essential baseline in the design of development cooperation policies and strategies at national, regional and continental levels. In this way, understanding the Water sector in developing countries relies on complex interactions between different environmental, socio-economic, governance and other human development factors.
In this preliminary phase, this research focuses geographically on Africa. Data have been processed using the EM algorithm, hot deck imputation methods, logarithmic or square roots normalization to get a coherent dataset, baseline for performing statistical analyses.
Through this first analysis, this approach and methods showed their interest and capacity to quickly bringing to results. In fact, using Principal Component Analysis and linear regression analysis, we have explained a major part of behaviour of two variables: water services access level at 70% and sanitation services access level at 53%.
Main outputs are the ranking and weighting of variables according to their influence on the targeted variable. For water supply access level, the key elements are the governance aspects, in particular, the capacity of being effective in delivering services, the capacity of regulation through police, courts, property right respect¿.. and, finally, the control of the corruption in the country. For sanitation access level, the key elements are respectively education of girls far ahead the governance aspects. Concerning the latter, special attention should be taken first to the control of the corruption, then to reinforcement of governance effectiveness in delivering services and finally, the capacity of regulation of the country through police, courts, property right respect.
This study allows us to move forward to more complex and detailed analysis having shown that data are enough coherent and reliable.
DONDEYNAZ Celine;
CARMONA MORENO Cesar;
LEONE Andrea;
CHEN Daoyi;
2010-11-19
Publications Office of the European Union
JRC59047
978-92-79-18410-9,
1018-5593,
EUR 24605 EN,
OP LB-NA-24605-EN-C,
https://publications.jrc.ec.europa.eu/repository/handle/JRC59047,
10.2788/43519,
