Evidence map›Paper›PMID 42883598›Full record

ArticleFoods (Basel, Switzerland)2026

Persistent Adaptation Policy and National Food Self-Sufficiency: Within- and Between-Country Evidence from a Global Panel.

Sagit Barel-Shaked, Erez Buda

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Sagit Barel-ShakedDepartment of Economics, Western Galilee College, Akko 2412101, Israel.ORCID 0000-0003-2776-4986
Erez BudaDepartment of Management, Western Galilee College, Akko 2412101, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate change affects domestic agricultural production, but national food self-sufficiency also depends on institutional and structural conditions that operate over different time horizons. This study examines these relationships using a balanced panel of 101 countries observed annually from 2012 to 2022 (1111 country-year observations). Food self-sufficiency is measured with the Food Self-Sufficiency Ratio (SSR), with SSR > 85% as the primary binary outcome. A pooled logistic regression with a within-between decomposition following the Mundlak approach separates persistent between-country differences from within-country changes, with country-clustered standard errors. The most consistent finding is a positive between-country association between long-run agricultural adaptation-policy status and high self-sufficiency (OR = 6.676, 95% CI: 1.502-29.668), whereas within-country changes in policy status are not statistically significant. This association reflects a persistent cross-country difference and should not be interpreted as a causal short-run effect of policy adoption. Within-country increases in climate-finance scores are negatively associated with the 85% threshold, but this result is sensitive to the outcome definition. Sensitivity analyses using 75%, 80%, and 90% thresholds show that the adaptation-policy association remains positive across all specifications and is the most stable result overall, although it is no longer statistically significant at the 90% threshold. The findings underscore the importance of distinguishing persistent institutional conditions from short-run policy changes when analyzing national food self-sufficiency.

Indexed as

agricultural adaptation policyclimate financeclimate governancefood self-sufficiencyMundlak decompositionpanel datawithin–between decomposition

Identifiers

PMID42883598
PMCPMC13665200

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.