A Beta Regression Approach to Modelling Country-Level Food Insecurity.

Anamaria Roxana Martin, Tabita Cornelia Adamov, Iuliana Merce, Ioan Brad, Marius-Ionuț Gordan, Tiberiu Iancu

Abstract read

In one paragraph

Article in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Anamaria Roxana MartinDoctoral School Engineering of Plant and Animal Resources, University of Life Sciences "King Mihai I" from Timisoara, Calea Aradului No. 119, 300645 Timisoara, Romania.

Tabita Cornelia AdamovFaculty of Management and Rural Tourism, University of Life Sciences "King Mihai I" from Timisoara, Calea Aradului No. 119, 300645 Timisoara, Romania.

Iuliana MerceFaculty of Management and Rural Tourism, University of Life Sciences "King Mihai I" from Timisoara, Calea Aradului No. 119, 300645 Timisoara, Romania.ORCID 0000-0002-1287-2514

Ioan BradFaculty of Management and Rural Tourism, University of Life Sciences "King Mihai I" from Timisoara, Calea Aradului No. 119, 300645 Timisoara, Romania.

Marius-Ionuț GordanFaculty of Management and Rural Tourism, University of Life Sciences "King Mihai I" from Timisoara, Calea Aradului No. 119, 300645 Timisoara, Romania.ORCID 0000-0002-1638-3371

Tiberiu IancuFaculty of Management and Rural Tourism, University of Life Sciences "King Mihai I" from Timisoara, Calea Aradului No. 119, 300645 Timisoara, Romania.

Funding

Univesity of Life Science "King Mihai I" from Timisoara

6 · The paper itself

Abstract

Food insecurity remains a persistent global challenge, despite significant advancements in agricultural production and technology. The main objective of this study is to identify and quantitatively assess some of the structural determinants influencing country-level food insecurity and provide an empirical background for policy-making aimed at achieving the Sustainable Development Goal of Zero Hunger (SDG 2). This study employs a beta regression model in order to study moderate or severe food insecurity across 153 countries, using a cross-sectional dataset that integrates economic, agricultural, political, and demographic independent variables. The analysis identifies low household per capita final consumption expenditure (β = -9 × 10

Indexed as

beta regressionfood insecurityfood insecurity determinantsSustainable Development GoalsZero Hunger

Identifiers

PMID40941109

DOI10.3390/foods14172997

PMCPMC12428468

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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.