Assessing impacts of agricultural research for development: A systemic model focusing on outcomes
| Autor: | Marie-Hélène Dabat, Danielle Barret, Bernard Triomphe, Genowefa Blundo Canto, Aurélie Toillier, Syndhia Mathé, Etienne Hainzelin, Agathe Devaux-Spatarakis, Guy Faure, Ludovic Temple |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Knowledge management
media_common.quotation_subject Developing country Context (language use) Library and Information Sciences 050905 science studies Développement agricole Human capital Education Recherche agricole pour le développement A50 - Recherche agronomique 0502 economics and business Innovation media_common E10 - Économie et politique agricoles business.industry Impact assessment 05 social sciences Évaluation de l'impact Innovation system Agriculture 0509 other social sciences business 050203 business & management Social capital Diversity (politics) |
| Zdroj: | Research Evaluation |
| Popis: | Over the past decade, renewed societal demands on public research have been structured by various generic issues, while others are specific to the context of developing countries. In the first part of this article, after reviewing those issues, we examine how they reshape the analytical frameworks that structure the understanding of causal relationships between research activities, innovation processes, and the consequences of both for development. We used an impact pathway framework to assess innovation processes by looking at 13 case studies on research in agricultural and food sectors of developing countries. The results show the diversity of outcomes related to human capital, social capital, and knowledge infrastructure. Moreover, they show the systemic interaction between outputs, outcomes, and impacts. Based on this assessment, we demonstrate that the way impact pathways are framed and analysed needs to be improved to better consider the complex interactions between the diverse actors involved in innovation processes. Through a discussion of our results, we propose an analytical framework to help improve impact assessment methods for research activities. |
| Databáze: | OpenAIRE |
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