Do Foreign Remittances Matter in Attaining Zero Hunger?

2020 ◽  
pp. 197-215
Author(s):  
Oluwakemi Adeola Obayelu ◽  
Rebecca Funmi Akinmulewo
Keyword(s):  
Food Insecurity ◽  
Rural Households ◽  
Household Head ◽  
Farm Size ◽  
Living Standard ◽  
The North ◽  
Using Data ◽  
Zero Hunger ◽  
Female Headed Households ◽  
Food Insecurity Access

Foreign remittance has remained a major source of income and a means to reduce hunger for many poor people in developing countries. The contribution of foreign remittances to food insecurity status of rural households in Nigeria was assessed using data from 2015/2016 Living Standard Measurement Study-Integrated Surveys on Agriculture (LSMS-ISA). Food insecurity status was achieved using the household food insecurity access scale. Data were analysed using descriptive, ordered, and nested logit models. Female-headed households residing in south-east zone with 51 to 70 years old heads and more than six members had greater access to remittances but were severely food insecure. Drivers of food insecurity were age, gender, marital status, education of the household head, membership of cooperatives, access to extension, farm size and per capita income, and living in the north central geo-political zone. Foreign remittances had a positive effect on the food insecurity status of rural households.

scholarly journals Factors Influencing Food Insecurity in Nepal

2019 ◽  
Vol 24 (2) ◽  
pp. 22-29
Author(s):  
Hem Raj Regmi ◽  
Kedar Rijal ◽  
Ganesh Raj Joshi ◽  
Ramesh P. Sapkota ◽  
Sridhar Thapa
Keyword(s):  
Food Insecurity ◽  
Rural Areas ◽  
Dietary Diversity ◽  
Household Head ◽  
Logistic Models ◽  
Education Level ◽  
Farm Size ◽  
Living Standard ◽  
Household Assets ◽  
Using Data

 Nepal has been persistently encountering food insecurity and under-nutrition. It is therefore utmost important to determine the factors responsible for influencing food insecurity in Nepal. This study examines the factors determining food insecurity in Nepal applying binary logistic models for food poverty, household with inadequate food consumption and poor dietary diversity using data from Nepal Living Standard Survey 2010/11. Food security was determined to be strongly associated with education level and age of household head, household with higher female education level, larger farm size with higher ratio of irrigated land, better access to markets, roads and cooperatives, better household assets and remittance recipient households. Food insecure is relatively more prevalent in rural areas with higher dependent on rain-fed agriculture, higher dependency ratio and larger family size. Improving both physical and economic access to foods, together with investment in education and agriculture could help to reduce food insecurity and hunger from Nepal.

Dietary diversity status of rural households in Nigeria: A gendered perspective

2020 ◽  
pp. 613-636 ◽  
Author(s):  
Oluwakemi Adeola Obayelu ◽  
Olusayo Olubisi Idowu
Keyword(s):  
Urban Areas ◽  
Dietary Diversity ◽  
Diversity Index ◽  
Rural Households ◽  
Household Size ◽  
Farm Size ◽  
Living Standard ◽  
Rural And Urban Areas ◽  
Female Headed Households ◽  
Food Share

Evidence of upsurge in food insecurity incidence and its vulnerability of households in both rural and urban areas in Nigeria has led to enquiries about the richness of available food baskets and evenness of their consumption. The objective of this study was to examine the dietary diversity among rural households in Nigeria from a gender perspective. Data from the Living Standard Measurement Survey- Integrated Survey on Agriculture (lsms-isa) 2016 were analysed using Simpson Diversity Index, Cross tabulation and Oaxaca-Blinder decomposition. Most of the rural households were male-headed (85%) with an average age of 53 years old and had household size of 8 persons. Dietary diversity score was slightly higher in female-headed households than among their male counterparts. Fish and seafood had the highest food share expenditure among female-headed households while cereals had the highest in male-headed households. Low dietary diversity was predominant among households where the head was 31 to 40 years old male with at least 16 members, while the high dietary diversity was highest among households with 51 to 60 years old female heads and 11 to 15 members. Difference in mean of aggregate dietary diversity between male- and female-headed households revealed a gap of 0.0155 in favour of the female-headed households. There were significant gender differences in household endowments such as household size, income, tangible assets owned and farm size, which explained dietary diversity among rural households in Nigeria.

Food insecurity status and associated factors among rural households in the north of Iran

2021 ◽  
pp. 026010602199684
Author(s):  
Maryam Shakiba ◽  
Arsalan Salari ◽  
Marjan Mahdavi-Roshan
Keyword(s):  
Nutritional Status ◽  
Food Insecurity ◽  
Rural Households ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
The North ◽  
Food Security Status ◽  
Depression Status ◽  
North Of Iran ◽  
Food Insecurity Access

Background: Iran has been experiencing an accelerated change in the nutrition and health of its people, which has led to considerable variations in the country’s nutritional status. Little is known about the food insecurity status in the north of Iran. Aim: The present study aimed to investigate the food insecurity status and factors associated with it in a rural area in the north of Iran. Methods: This cross-sectional study was conducted among 573 rural households in Guilan Province in the north of Iran. The food insecurity status of the households was measured using the Household Food Insecurity Access Scale. Data on the demographic characteristics of the households and their depression status were collected by interviewing the heads of the households. The socioeconomic status index of the households was constructed using factor analysis, and a multivariate ordinal logistic regression model was used to estimate the adjusted odds ratio of the independent predictors of food insecurity. Results: The results indicated that approximately half of the households (50.8%) had experienced mild (43.2%), moderate (6.5%) or severe (1.1%) food insecurity. The multivariate model showed that sex, age, depression status of the head of the household and having a patient with a chronic condition in the household were independently associated with food security status. Conclusions: This study showed that food insecurity was highly prevalent among rural households in the north of Iran. The study concludes that interventions with the aim of reducing the prevalence of food insecurity, depression and chronic diseases in the area can be effective in improving the nutritional status of the households.

scholarly journals Gendered access to land and household food insecurity: Evidence from Nigeria

2021 ◽  
pp. 1-23
Author(s):  
Amaka Nnaji ◽  
Nazmun N. Ratna ◽  
Alan Renwick
Keyword(s):  
Food Insecurity ◽  
Arable Land ◽  
Household Head ◽  
Household Survey ◽  
Household Food Insecurity ◽  
Land Access ◽  
Household Food ◽  
And Gender ◽  
Using Data ◽  
Female Headed Households

Abstract In this article, we examine the joint influence of land access and gender of household head on household food insecurity by employing a logit model and using data from the 2015/2016 Nigerian General Household Survey. Our results show that female-headed households (FHHs) are more food insecure than male-headed households. However, with a 1-acre increase in their access to land, FHHs are 16 percent less likely to be food insecure. This finding provides policy insights into how improving access to arable land for land-poor FHHs can enhance food security in Nigeria.

Food insecurity transitions among rural households in Nigeria

2020 ◽  
Vol 39 (1) ◽  
Author(s):  
Oluwakemi Adeola Obayelu ◽  
Emem Ime Akpan
Keyword(s):  
Food Security ◽  
Secondary Education ◽  
Food Insecurity ◽  
Primary Education ◽  
Rural Households ◽  
Farm Size ◽  
Dependency Ratio ◽  
Male Adult ◽  
Access To Credit ◽  
Food Expenditure

Food insecurity dynamics of rural households in Nigeria was assessed using a panel data. Results showed that 44.4% of households that were food secure in the first panel transited into food insecurity in the second panel, while 32.5% that were mildly food insecure transited into food security. Furthermore, 25.7% transited from moderate food insecurity to food security, while 38.2% transited from severe food insecurity to food security. About 35.1% of households were never food insecure; 11.4% exited food insecurity 28.0% entered food insecurity; while 25.48% remained always food insecure. Having primary education, secondary education, dependency ratio, household size, share of non-food expenditure and farm size explained food insecurity transition. However, the likelihood of a household being always food insecure was explained by gender, female-to-male-adult ratio, marital status, primary education, secondary education, dependency ratio, share of non-food expenditure, farm size, access to credit and access to remittance.

scholarly journals Measurement and Decomposition of Consumption Inequality in Nepal

2019 ◽  
Vol 4 (2) ◽  
pp. 53-69
Author(s):  
Pravat Uprety
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Gini Index ◽  
Household Head ◽  
Living Standard ◽  
Rural And Urban Areas ◽  
Rural And Urban ◽  
Significant Difference ◽  
Female Headed Households ◽  
Measures Of Inequality

This study aims at computing, comparing and decomposing the different inequality indices by rural and urban areas, sex of household head and ecological belt, so that policy maker can make the policy to reduce the inequality in Nepal. This study is based on the raw data taken from the 3rd Nepal Living Standard Survey-2011 conducted by the Central Bureau of Statistics (CBS). The study has used real consumption as the main variable to measure the inequality. In most of the cases five measures of inequality; Coefficient of variation (CV), Quantile Ratio Index, Gini Index, Generalised Entropy Index with parameter 0 and 1 were computed. The Gini index, Theil’s L and Theil’s T indices are 0.328, 0.175 and 0.194, respectively. The study has found no significant difference in inequality between male- and female-headed households; and the inequality in urban areas is higher than that in the rural areas. By ecological belts, the inequality is highest in hills and lowest in mountains. The country should place focus on urban areas and hilly belt to reduce inequality.

scholarly journals Household level determinants of food insecurity in rural areas of Dire Dawa, eastern Ethiopia

2009 ◽  
Vol 9 (30) ◽  
pp. 1914-1926
Author(s):  
Ayalneh Bogale ◽  
◽  
Shimelis A ◽  
Keyword(s):  
Food Security ◽  
Food Insecurity ◽  
Survey Data ◽  
Rural Areas ◽  
Rural Households ◽  
Household Head ◽  
Household Food Insecurity ◽  
Household Level ◽  
Household Food ◽  
Dire Dawa

Even though the struggle to achieve food security at the household level in the rural areas of Ethiopia dates back a long period, it has remained as a challenging goal even today. Making their living on marginal, moisture stressed, heavily degraded and less productive land, households in rural areas of Dire Dawa face persistent food shortages. The design and implementation of effective measures to reduce household food insecurity in the region depends on in-depth understanding of its covariates. This study seeks to address these issues by assessing location specific socio-economic factors that influence food insecurity of households in rural areas of Dire Dawa Administrative region. The analysis is based on survey data gathered from randomly selected 115 sample rural households in the study area. A binary logit model was used to identify the factors influencing household level food insecurity. A total of thirteen explanatory variables were included in the empirical model. The empirical results estimated using the survey data to identify the determinants of food insecurity among rural households in the study area revealed mixed impressions. Among variables considered , family size, annual income, amount of credit received, access to irrigation, age of household head, farm size, and livestock owned showed theoretically consistent and statistically significant effect. However, estimated coefficients of number of oxen owned and dependency ratio showed theoretically inconsistent and statistically insignificant effect on the probability of household to be food insecure.. Estimated coefficients of sex of household head, total off-farm income, education of household head and amount of food aid received were not found to be statistically significant in determining household food insecurity in the study area. The findings imply that improvement in food security situation needs to build assets, improve the functioning of rural financial markets and promote family planning. These areas could provide entry points for policy intervention to reduce hunger and augment household and community livelihood opportunities.

Socio-economic and environmental barriers to increased agricultural production: New evidence from central Thailand

2020 ◽  
pp. 003072702096736
Author(s):  
Chidchanok Apipoonyanon ◽  
Sylvia Szabo ◽  
Takuji W Tsusaka ◽  
Kevin Leeson ◽  
Endro Gunawan ◽  
...  
Keyword(s):  
Agricultural Production ◽  
Local Population ◽  
Household Head ◽  
Household Survey ◽  
Farm Size ◽  
Farm Income ◽  
Small Scale ◽  
Farm Type ◽  
Household Heads ◽  
Female Headed Households

Thailand’s agricultural production has played a major role in enhancing the sustainability of domestic food supplies and successful international exports. However, agricultural production and farm productivity remain relatively low, especially in rapidly ageing high out-migration areas and among small-scale farmers. In this study, we use new household survey data from Prachinburi Province to examine the probability of facing six specific barriers to agricultural production. Data were analysed using descriptive statistics and a series of logistic regressions to identify the determinants. The results show that age of household head, off-farm income, farm size, and farm type were all associated with the likelihood of different productivity barriers. Gender of household heads was found to be associated with the probability of farm labour shortage, with female-headed households being at a disadvantage. We recommend that policies should be formulated to address these significant factors in order to overcome or circumvent the different barriers and enhance the livelihoods of the local population.

scholarly journals COMPOSITION AND DETERMINANTS OF RURAL NON-FARM INCOME DIVERSIFICATION IN NIGERIA

2020 ◽  
Vol 57 (3) ◽  
Author(s):  
Oluseyi Olutoyin Olugbire ◽  
Oluwatosin Esther Obafunsho ◽  
Titilope Omolara Olarewaju ◽  
Ruth Ibukun Kolade ◽  
Festus Abiodun Odediran ◽  
...  
Keyword(s):  
Poverty Reduction ◽  
Formal Education ◽  
Rural Households ◽  
Farm Size ◽  
Living Standard ◽  
Farm Income ◽  
National Bureau ◽  
Access To Credit ◽  
Poor Households ◽  
Reduction Strategies

Farming has been considered as main source of income for rural households in Nigeria, despite their involvement in other income generating activities. Focusing on income derivable from farming alone may be partially responsible for the ineffective poverty reduction strategies in Nigeria. Using the National Living Standard Survey data collected by the National Bureau of Statistics, this paper investigated the composition and determinants of non-farm incomes of rural households in Nigeria. The results show that the share of farm, non-farm wage (NFW)- and self-employment (NFS) incomes in total household incomes were 24.3%, 43.0% and 23.7% respectively. Households whose heads are male (0.647), had formal education (0.522), increased the likelihood of households’ participation in NFW activities, while access to credit (-0.307) and having larger farm size (-0.221) decreased it. Access to credit (0.379); community participation (0.103); larger family size (0.193) and possession of capital assets (0.069) increased the likelihood of participation in NFS-employment activities, while having larger farm size (-0.211) decreased it. The study concludes that policy targeting poverty reduction should focus on providing enabling environment for poor households’ access to non-farm activities in the study area.

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