Determinants of Food Insecurity in Rural Households: The Case of the Paute River Basin of Azuay Province, Ecuador

Cordero-Ahiman, Otilia Vanessa; Vanegas, Jorge Leonardo; Beltrán-Romero, Pablo; Quinde-Lituma, María Elena

doi:10.3390/su12030946

Cited by 25 publications

(18 citation statements)

References 55 publications

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“…In all models, the presence of infected persons in the community (CI) and the existence of PIH were not significant, suggesting that these factors were not significantly associated with household food security. Similar to international studies on food insecurity in non-epidemic conditions (11,15,16), socio-demographic characteristics such as NIS, HP, and Hukou remain key variables associated with HFI even during an epidemic, suggesting that these factors underlie the impact on food security. But the epidemic brought about a complete restriction of mobility, with interlinking variables and cascading layers confounding simple solutions (38), and therefore, traditional access to food failed and household food security became more complex.…”

Section: Regression Estimation Resultsmentioning

confidence: 55%

“…Thus, food security is not only about food shortages and hunger but also about the broader issues of health and balanced diets (9). In terms of influencing factors, HFI is widely believed to be associated with social and demographic characteristics, such as gender, family location, income, main source of income, housing, education and household structure (10)(11)(12)(13)(14). As a comprehensive proxy for many factors, income (or poverty) is considered to be the strongest and most consistent variable affecting food security (6,9).…”

Section: 'Fmentioning

confidence: 99%

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Factors determining household-level food insecurity during COVID-19 epidemic: a case of Wuhan, China

Yang

Hou

Zhong

et al. 2021

Food & Nutrition Research

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Background: In coping with the coronavirus disease 2019 (COVID-19) epidemic, cities adopted social isolation and lockdown measures; however, little is known about the impacts of these restrictions on household food security. Objective: This study provides a timely assessment of household food insecurity (HFI) in the Chinese city of Wuhan during the COVID-19 epidemic period and also investigates its determinant factors. Design: We collected valid data on food insecurity from 653 households in Wuhan via an online questionnaire in March 2020. The Household Food Insecurity Access Scale Score (HFIASS) was used to measure HFI, and a multiple linear regression model was used to determine the HFIASS. Results: The mean HFIASS in Wuhan was 9.42 (standard deviation: 5.82), with more than 50% of the households had an HFIASS < 9. Compared with normal conditions, lockdown measures had a huge negative impact on household food security. The results revealed that socio-demographic characteristics remained the underlying determinants of HFIASS during the epidemic. Households in Wuhan with local Hukou (city household registration) and self-owned property had a lower risk of food insecurity. Discussion and conclusion: After the restriction of conventional food access channels, intermediary food purchase methods such as group purchasing, shopping with the help of neighborhood committees, property management agents, and volunteers became the most important or the only channel for residents to access food. There were similarities in the use of these intermediary channels. Based on the probability that the epidemic will continue and the probability of similar public health-related outbreaks in the future, the study calls for a more resilient and responsive sustainable food supply system by harnessing the capacity of communities, e-commerce and rapid logistics.

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Section: Regression Estimation Resultsmentioning

confidence: 55%

Section: 'Fmentioning

confidence: 99%

Factors determining household-level food insecurity during COVID-19 epidemic: a case of Wuhan, China

Yang

Hou

Zhong

et al. 2021

Food & Nutrition Research

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“…According to our results, most households are highly dependent on staple crops such as cereals and roots and tubers due to their low cost [ 57 ]. The food group least consumed in households is fish and shellfish, which is due to lack of income [ 43 , 60 , 61 , 62 , 63 , 64 ]. The current findings show that rural households have a high dietary diversity score, and the higher score could probably improve the quality of the diet.…”

Section: Discussionmentioning

confidence: 99%

Factors That Determine the Dietary Diversity Score in Rural Households: The Case of the Paute River Basin of Azuay Province, Ecuador

Cordero-Ahiman

Vanegas

Franco-Crespo

et al. 2021

IJERPH

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Inadequate food and nutrition affect human well-being, particularly for many poor subpopulations living in rural areas. The purpose of this research was to analyze the factors that determine the Household Dietary Diversity Score (HDDS) in the rural area of the Paute River Basin, Azuay Province, Ecuador. The sample size of 383 surveys was determined by a stratified random sampling method with proportional affixation. Dietary diversity was measured through the HDDS, with 12 food groups (cereals; roots and tubers; fruits; sugar/honey; meat and eggs; legumes or grains; vegetables; oils/fats; milk and dairy products; meats; miscellaneous; fish and shellfish) over a recall period of 7 days. A Poisson regression model was used to determine the relationship between the HDDS and sociodemographic variables. The results show that the average HDDS of food consumption is 10.89 foods. Of the analyzed food groups, the most consumed are cereals; roots and tubers; fruits; sugar/honey. In addition, the determinants that best explain the HDDS in the predictive model were housing size, household size, per capita food expenditure, area of cultivated land, level of education, and marital status of the head of household. The tools used in this research can be used to analyze food and nutrition security interventions. Furthermore, the results allow policymakers to identify applicable public policies in the fight against hunger.

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“…In this study, the target variable was the food insecurity levels in farming households with the status of food secure, mild food insecure (marginal food secure), moderate food insecure, and severe food insecure, which is ordinal in nature as the degree of severity increases. For investigating such ordinal data, literature employs an ordered logit and probit framework [48,49]. Nevertheless, selecting between the two approaches is primarily a matter of convenience and which method is more widely used in the particular field of study [50].…”

Section: Analytical Approachmentioning

confidence: 99%

Food Insecurity and Related Factors among Farming Families in Takhar Region, Afghanistan

Samim

Stępień

et al. 2021

Sustainability

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Improved food security remains a major challenge for policymakers in Afghanistan. The objective of this study is to investigate the prevalence and drivers of food insecurity among farming households in the Takhar region of Afghanistan. Household questionnaire survey datasets were obtained from 262 farmers via multi-stage sampling across four districts. The Household Food Insecurity Access Scale (HFIAS) was constructed to assess the prevalence of food insecurity, and an ordered probit econometric model was used to identify the factors influencing the prevalence rates in farming families. The findings indicate that 66.79% of the farming households were food insecure, whilst 30.53% were severely food insecure. After adjustment of socio-economic and demographic characteristics of families, the ordered probit results reveals that household head education, dependency ratio, farm income, access to non-agricultural income, livestock unit, group membership, borrowing, farm diseases, flood, and war significantly influenced farming households’ food insecurity in the study area. Our findings highlight the urgent requirement for policies and initiatives to support farmers to improve their overall food security. Such strategies should focus on introducing improved farming techniques, enhancing farmer education levels, livestock development programs, building and empowering farmers groups, creating credit access to households, and providing humanitarian food support.

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Determinants of Food Insecurity in Rural Households: The Case of the Paute River Basin of Azuay Province, Ecuador

Cited by 25 publications

References 55 publications

Factors determining household-level food insecurity during COVID-19 epidemic: a case of Wuhan, China

Factors determining household-level food insecurity during COVID-19 epidemic: a case of Wuhan, China

Factors That Determine the Dietary Diversity Score in Rural Households: The Case of the Paute River Basin of Azuay Province, Ecuador

Food Insecurity and Related Factors among Farming Families in Takhar Region, Afghanistan

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