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Simulating Potential Associated Socio-Economic Determinants With Sustainable Food Security (A Macro-Micro Spatial Quantitative Model)

Improving sustainable food security status, nowadays, is an important challenge globally, especially in developing countries. The policy goal should be equity—everyone has the same opportunity to be food secure—rather than equality—everyone gets the same subsidy. Since the culture and socioeconomic...

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Autores principales: Pakravan-Charvadeh, Mohammad Reza, Flora, Cornelia, Khan, Haider A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9333187/
https://www.ncbi.nlm.nih.gov/pubmed/35910863
http://dx.doi.org/10.3389/fpubh.2022.923705
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author Pakravan-Charvadeh, Mohammad Reza
Flora, Cornelia
Khan, Haider A.
author_facet Pakravan-Charvadeh, Mohammad Reza
Flora, Cornelia
Khan, Haider A.
author_sort Pakravan-Charvadeh, Mohammad Reza
collection PubMed
description Improving sustainable food security status, nowadays, is an important challenge globally, especially in developing countries. The policy goal should be equity—everyone has the same opportunity to be food secure—rather than equality—everyone gets the same subsidy. Since the culture and socioeconomic status within a country vary from region to region, collapsing all areas into a unique region may introduce errors and inaccurate results, as most studies carried out. This study assesses the geographical pattern of association between food security and socioeconomic factors in urban areas in Iran using a nationally and regionally representative household consumption-expenditure survey from 2010 to 2018. The logistic regression model and big data are used to achieve this goal. The results show that a substantial number of households face food insecurity in urban areas in Iran. Also, different geographic regions have various salient factors that affect food insecurity. Aggregation tests confirmed that researchers should estimate separate models for different provinces, states, and districts to assess and monitor the food security status of a country instead of estimating a unique model for the whole of the country. Geographical disparities should be considered as an important issue before suggesting any catch-all policies for a country. The geo-locational factor of households is a key determinant of the association between socioeconomic factors and food security in urban areas in Iran. In sum, the practical suggestions for improving Iranian households' food security in urban areas are as follows: (1) Developing job opportunities for the head of household. (2) Enhancing the potential for self-employment. (3) Facilitating the study of children within households including providing inexpensive uniforms, books, and materials, especially for poor households. (4) Supporting young couples in terms of accessing to financial resources and providing inexpensive essential equipment of home for them; and (5) Introduction of the importance of dietary diversity and different foods which can be cooked by using these food ingredients within a household. Comparative case studies using similar methodologies can test if our results are generalizable.
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spelling pubmed-93331872022-07-29 Simulating Potential Associated Socio-Economic Determinants With Sustainable Food Security (A Macro-Micro Spatial Quantitative Model) Pakravan-Charvadeh, Mohammad Reza Flora, Cornelia Khan, Haider A. Front Public Health Public Health Improving sustainable food security status, nowadays, is an important challenge globally, especially in developing countries. The policy goal should be equity—everyone has the same opportunity to be food secure—rather than equality—everyone gets the same subsidy. Since the culture and socioeconomic status within a country vary from region to region, collapsing all areas into a unique region may introduce errors and inaccurate results, as most studies carried out. This study assesses the geographical pattern of association between food security and socioeconomic factors in urban areas in Iran using a nationally and regionally representative household consumption-expenditure survey from 2010 to 2018. The logistic regression model and big data are used to achieve this goal. The results show that a substantial number of households face food insecurity in urban areas in Iran. Also, different geographic regions have various salient factors that affect food insecurity. Aggregation tests confirmed that researchers should estimate separate models for different provinces, states, and districts to assess and monitor the food security status of a country instead of estimating a unique model for the whole of the country. Geographical disparities should be considered as an important issue before suggesting any catch-all policies for a country. The geo-locational factor of households is a key determinant of the association between socioeconomic factors and food security in urban areas in Iran. In sum, the practical suggestions for improving Iranian households' food security in urban areas are as follows: (1) Developing job opportunities for the head of household. (2) Enhancing the potential for self-employment. (3) Facilitating the study of children within households including providing inexpensive uniforms, books, and materials, especially for poor households. (4) Supporting young couples in terms of accessing to financial resources and providing inexpensive essential equipment of home for them; and (5) Introduction of the importance of dietary diversity and different foods which can be cooked by using these food ingredients within a household. Comparative case studies using similar methodologies can test if our results are generalizable. Frontiers Media S.A. 2022-07-14 /pmc/articles/PMC9333187/ /pubmed/35910863 http://dx.doi.org/10.3389/fpubh.2022.923705 Text en Copyright © 2022 Pakravan-Charvadeh, Flora and Khan. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Pakravan-Charvadeh, Mohammad Reza
Flora, Cornelia
Khan, Haider A.
Simulating Potential Associated Socio-Economic Determinants With Sustainable Food Security (A Macro-Micro Spatial Quantitative Model)
title Simulating Potential Associated Socio-Economic Determinants With Sustainable Food Security (A Macro-Micro Spatial Quantitative Model)
title_full Simulating Potential Associated Socio-Economic Determinants With Sustainable Food Security (A Macro-Micro Spatial Quantitative Model)
title_fullStr Simulating Potential Associated Socio-Economic Determinants With Sustainable Food Security (A Macro-Micro Spatial Quantitative Model)
title_full_unstemmed Simulating Potential Associated Socio-Economic Determinants With Sustainable Food Security (A Macro-Micro Spatial Quantitative Model)
title_short Simulating Potential Associated Socio-Economic Determinants With Sustainable Food Security (A Macro-Micro Spatial Quantitative Model)
title_sort simulating potential associated socio-economic determinants with sustainable food security (a macro-micro spatial quantitative model)
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9333187/
https://www.ncbi.nlm.nih.gov/pubmed/35910863
http://dx.doi.org/10.3389/fpubh.2022.923705
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