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Assessing impacts of agricultural research for development: A systemic model focusing on outcomes

Author

Listed:
  • Ludovic Temple
  • Danielle Barret
  • Genowefa Blundo Canto
  • Marie-Hélène Dabat
  • Agathe Devaux-Spatarakis
  • Guy Faure
  • Etienne Hainzelin
  • Syndhia Mathé
  • Aurelie Toillier
  • Bernard Triomphe

Abstract

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.

Suggested Citation

  • Ludovic Temple & Danielle Barret & Genowefa Blundo Canto & Marie-Hélène Dabat & Agathe Devaux-Spatarakis & Guy Faure & Etienne Hainzelin & Syndhia Mathé & Aurelie Toillier & Bernard Triomphe, 2018. "Assessing impacts of agricultural research for development: A systemic model focusing on outcomes," Research Evaluation, Oxford University Press, vol. 27(2), pages 157-170.
    • Handle: RePEc:oup:rseval:v:27:y:2018:i:2:p:157-170.
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    File URL: http://hdl.handle.net/10.1093/reseval/rvy005
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    Citations

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    Cited by:

    1. Marina Apgar & Mieke Snijder & Grace Lyn Higdon & Sylvia Szabo, 2023. "Evaluating Research for Development: Innovation to Navigate Complexity," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 35(2), pages 241-259, April.
    2. Nlend Nkott, Anny Lucrèce & Temple, Ludovic, 2021. "Societal acceptability conditions of genome editing for upland rice in Madagascar," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    3. Taratula Ruslana & Kovalyshyn Oleksandra & Ryzhok Zoriana & Malakhova Svitlana, 2019. "Application of Mathematical Modelling for Optimization of Land-Use Management," Real Estate Management and Valuation, Sciendo, vol. 27(3), pages 59-68, September.
    4. van der Heijden, Jeroen, 2024. "Unravelling programme success and complex causation in Agricultural Research for Development (AR4D): A systematic and comprehensive literature review," Agricultural Systems, Elsevier, vol. 215(C).
    5. Thornton, Philip & Dijkman, Jeroen & Herrero, Mario & Szilagyi, Lili & Cramer, Laura, 2022. "Viewpoint: Aligning vision and reality in publicly funded agricultural research for development: A case study of CGIAR," Food Policy, Elsevier, vol. 107(C).
    6. vom Brocke, Kirsten & Kondombo, Clarisse Pulcherie & Guillet, Marion & Kaboré, Roger & Sidibé, Adama & Temple, Ludovic & Trouche, Gilles, 2020. "Impact of participatory sorghum breeding in Burkina Faso," Agricultural Systems, Elsevier, vol. 180(C).
    7. Marina Apgar & Guillaume Fournie & Barbara Haesler & Grace Lyn Higdon & Leah Kenny & Annalena Oppel & Evelyn Pauls & Matthew Smith & Mieke Snijder & Daan Vink & Mazeda Hossain, 2023. "Revealing the Relational Mechanisms of Research for Development Through Social Network Analysis," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 35(2), pages 323-350, April.

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