|
|
M. Maredia, D. Byerlee et J. AndersonDocument présenté lors de l’atelier sur « The Future of Impact Assessment in CGIAR: Needs, Constraints, and Options » (L’avenir de l'évaluation d'impact au CGIAR : besoins, contraintes et choix), Standing Panel on Impact Assessment (SPIA) (Formation permanente sur l’évaluation d’impact) du Comité consultatif technique, Rome, 3-5 mai, Rome, ItaliePour les innovations standard permettant d'accroître la productivité, telles que les cultivars améliorés et les méthodes optimisées d’élevage du bétail, il existe des méthodes relativement courantes et acceptées auxquelles les centres nationaux et internationaux de recherche agricole ont de plus en plus recours.
|
|
|
M. Maredia, D. Byerlee and J. AndersonPaper presented to the Workshop on “The Future of Impact Assessment in CGIAR: Needs, Constraints, and Options”, Standing Panel on Impact Assessment (SPIA) of the Technical Advisory Committee, Rome, May 3-5, Rome, Italy2000For relatively standard productivity-enhancing innovations such as improved cultivars, and improved livestock production methods, fairly standard and accepted methods are available, and are being increasingly applied by both IARCs and national AROs. However, we also conclude that there is much room to improve the quality of these applications. Simplistic assumptions about lags, costs, and supply shifts, together with failure to account for spill-ins, have biased estimated RORs, usually upward. In addition, the emphasis on evaluating individual technologies in an ad hoc manner, rather than research programs on a regular basis has undoubtedly favoured the selection of winners and elsewhere will probably be required to ensure reasonable chances of satisfactory progress on the methods front. For successful impact evaluation it is crucial to: (1) Define minimum data sets, (2) Combine quantitative and qualitative assessment, (3) Decentralize as far as possible (4) Build institutional capacity for ongoing evaluation and (5) Develop mechanisms to integrate information with decision making.
|
