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Table · dataset · 2026

Table 1_Frameworks and methodologies for food policy evaluation: a systematic review of the peer-reviewed literature (2015–2026).docx

Listed in HKU DataHub and figshare and Loughborough Research Repository — shown once because both records carry DOI 10.3389/fsufs.2026.1905853.s002

Description

Introduction<p>This systematic review examines the frameworks and methodologies used to evaluate food policy impacts, as reported in the English-language peer-reviewed literature published between 2015 and mid-2026, with the aim of synthesizing the state of the art for research and practice.</p>Methods<p>Following PRISMA guidelines, we searched Scopus and Web of Science, ultimately analysing 46 studies through a descriptive bibliometric overview (R bibliometrix) and qualitative content analysis (NVivo 12).

Each study was coded along four analytical dimensions (policy type, evaluation approach, impact domain, and type of indicators) and classified by primary evaluative purpose.</p>Results<p>Implementation and process evaluation (15 studies) and indicator or framework development (10) form the largest strata; only seven studies were primarily outcome- or effect-oriented, and only two used quasi-experimental or econometric identification strategies.

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Publication output increased overall during the review period, particularly after 2020. Methodologies are diverse yet fragmented: indicator-based frameworks (e.g., FAO’s Sustainability Assessment of Food and Agriculture Systems and the Milan Urban Food Policy Pact indicators) are widely used to measure environmental, economic, social, and governance outcomes, while participatory and co-design elements (e.g., SAEMETH) form a recurrent cross-cutting strand in which the study authors report gains in stakeholder relevance and policy acceptance.

Persistent challenges include limited data availability, difficulties integrating qualitative and quantitative metrics, and the need to tailor approaches to local contexts.</p>Discussion<p>The review highlights an urgent need for more user-friendly and adaptable evaluation tools to bridge the gap between academic frameworks and real-world policy implementation; policymakers are advised to invest in data collection capacity and stakeholder engagement.

Guidance documents and monitoring tools issued by governments, international organizations, and city networks enter the analysis through the included studies that apply, adapt, or assess them. This study contributes an analytical classification framework spanning the four coded dimensions and the purpose-based stratification, offering a replicable basis for future research toward more robust, inclusive, and evidence-based food policy assessments.</p>

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Inferred from text
Food sustainability 77% · Tabular 65%
Provenance · 3 source records, 31 field assertions
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HKU DataHuboai:figshare.com:article/340100528 d agoJSON v1
figshareoai:figshare.com:article/340100527 d agoJSON v1
Loughborough Research Repositoryoai:figshare.com:article/340100527 d agoJSON v1
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