Skip navigation

Strengthening decision-making on sustainable agricultural intensification through multi-stakeholder social learning in sub-Saharan Africa

Strengthening decision-making on sustainable agricultural intensification through multi-stakeholder social learning in sub-Saharan Africa

Lamboll, Richard, Nelson, Valerie ORCID: 0000-0003-1075-0238, Gebreyes, Million ORCID: 0000-0002-1827-6756, Kambewa, Daimon, Chinsinga, Blessings ORCID: 0000-0003-2310-5123, Karbo, Naaminong, Rukonge, Audax, Sekeleti, Martin, Litaba Wakun'uma, Wesley, Gutema, Tamene H., Henjewele, Magreth, Kampanje-Phiri, Jessica ORCID: 0000-0002-3712-7246, Masikati-Hlanguyo, Patricia, Quaye, Wilhelmina, Duah, Solomon, Kivuyo, Mbarwa, Nyanga, Progress, Akuffobea Essilfie, Mavis, Asafu-Adjaye, Nana Yamoah ORCID: 0000-0002-5916-745X, Clottey, Victor and Martin, Adrienne ORCID: 0000-0001-9305-7302 (2021) Strengthening decision-making on sustainable agricultural intensification through multi-stakeholder social learning in sub-Saharan Africa. International Journal of Agricultural Sustainability, 19 (5-6). pp. 609-635. ISSN 1473-5903 (Print), 1747-762X (Online) (doi:https://doi.org/10.1080/14735903.2021.1913898)

[img]
Preview
PDF (Publisher's PDF - Open Access)
34580 LAMBOLL_Strengthening_Decision-Making_on_Sustainable_Agricultural_Intensification_(OA)_2021.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (2MB) | Preview

Abstract

Increasing and competing demands on agriculture in sub-Saharan Africa mean that policy and investment decisions become more complex. Despite growing consensus on the need for sustainable agricultural intensification, there is limited agreement on how to achieve this in practice. Governments and societies face uncertainty and complex choices. This paper explores the potential of Multi-Stakeholder, Social Learning (MSL) approaches, facilitated by National Learning Alliances (NLAs), to improve policy and investment decisions. Comparative evidence from a donor-supported research and learning programme in Ethiopia, Ghana, Malawi, Tanzania and Zambia is used in a theory-based evaluation approach to assess the contribution of the NLAs to capacity and practice change amongst individuals, networks and senior decision-makers. Ten outcome cases are explored, including their contribution to systemic changes in the governance of evidence. Key lessons included: the value to decision-makers of engaging with informal networks; importance of combining dialogue, deliberation and experiential learning; the need to create safe spaces in national level MSL processes; the demanding combination of facilitation skills and commitment; and appropriately flexible support. This suggests a need not only for the production of quality research, but crucially support for MSL as a means of contributing to the good governance of evidence and sustainable change.

Item Type: Article
Additional Information: © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
Uncontrolled Keywords: Sustainable agricultural intensification; decision-making processes; policy; social learning; multi-stakeholder; agriculture; values; governance of evidence; sub-Saharan Africa
Subjects: S Agriculture > S Agriculture (General)
Faculty / School / Research Centre / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Natural Resources Institute
Faculty of Engineering & Science > Natural Resources Institute > Livelihoods & Institutions Department
Last Modified: 13 Dec 2021 15:27
URI: http://gala.gre.ac.uk/id/eprint/34580

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics