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Cuevas, Soledad (2016) 'Integrated mixed methods policy analysis for sustainable food systems: trends, challenges and future research.' Public Health Reviews, 37 (24).

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Abstract

Agriculture is a major contributor to greenhouse gas emissions, an important part of which is associated to deforestation and indirect land use change. Appropriate and coherent food policies can play an important role in aligning health, economic and environmental goals. From the point of view of policy analysis, however, this requires multi-sectoral, interdisciplinary approaches which can be highly complex. Important methodological advances in the area are not exempted from limitations and criticism. We argue that there is scope for further developments in integrated quantitative and qualitative policy analysis combining existing methods, including mathematical modelling and stakeholder analysis. We outline methodological trends in the field, briefly characterise integrated mixed methods policy analysis and identify contributions, challenges and opportunities for future research. In particular, this type of approach can help address issues of uncertainty and context-specific validity, incorporate multiple perspectives and help advance meaningful interdisciplinary collaboration in the field. Substantial challenges remain, however, such as the integration of key issues related to non-communicable disease, or the incorporation of a broader range of qualitative approaches that can address important cultural and ethical dimensions of food.

Item Type: Journal Article
Keywords: Food policy, Food systems, Land use change, Palm oil, Mixed methods, Sustainability, Greenhouse gas emissions, Economics, Nutrition transition
SOAS Departments & Centres: Departments and Subunits > Interdisciplinary Studies > Centre for Development, Environment and Policy
ISSN: 21076952
Copyright Statement: © The Author(s). 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/ publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
DOI (Digital Object Identifier): https://doi.org/10.1186/s40985-016-0040-5
Date Deposited: 11 Jan 2019 11:33
URI: https://eprints.soas.ac.uk/id/eprint/30160

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