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How do context variables affect food insecurity in Mexico? Implications for policy and governance

Bibliographic Data

ID15097648
AuthorsMireya Vilar-Compte (0000-0001-9047-1102, Ibero American University, corresponding author), Pablo Gaitán-Rossi (0000-0002-7617-6366, Ibero American University), Diana Flores (0000-0002-7945-5416, Ibero American University), Vanessa Pérez-Cirera (0000-0003-2933-0372, Ibero American University), Graciela Teruel (0000-0002-4768-8610, Ibero American University)
Year2020
Volume23
Issue13
Pages2445-2452
Publication date2020-09-01
Open AccessYes
TypeARTICLE
VenuePublic Health Nutrition (JOURNAL)
Journal identifiersISSN: 1368-9800 • E-ISSN: 1475-2727
PublisherCambridge University Press (CUP) (PUBLISHER)
DOI10.1017/s1368980019003082
PMID31760960
OpenAlexW2991525167
LanguageEN
Citations received4
References cited16

Objective: To assess, from a systems perspective, how climate vulnerability and socio-economic and political differences at the municipal and state levels explain food insecurity in Mexico. Design: Using a cross-sectional design with official secondary data, we estimated three-level multinomial hierarchical linear models. Setting: The study setting is Mexico’s states and municipalities in 2014. Participants: Heads of households in a representative sample of the general population. Results: At the municipal level, vulnerability to climate disasters and a poverty index were significant predictors of food insecurity after adjusting for household-level variables. At the state level, gross domestic product and the number of nutrition programmes helped explain different levels of food insecurity but change in political party did not. Predictors varied in strength and significance according to the level of food insecurity. Conclusions: Findings evidence that, beyond food assistance programmes and household characteristics, multiple variables operating at different levels – like climate vulnerability and poverty – contribute to explain the degree of food insecurity. Food security governance is a well-suited multisectoral approach to address the complex challenge of hunger and access to a nutritious diet

Agriculture · Business · Context (archaeology · Corporate governance · Development economics · Economic growth · Economics · Environmental health · Food insecurity · Food security · Geography · Population · Poverty · Socioeconomics · Vulnerability (computing · Agricultural risk and resilience · Food Security and Health in Diverse Populations · Medicine · Urban Agriculture and Sustainability

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Citations per year0.8
Citation span2021 - 2025 (5)
Highly citedNo

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