scholarly journals Do agri-food market incentives improve food security and nutrition indicators? a microsimulation evaluation for Kenya

Food Security ◽  
2021 ◽  
Author(s):  
María Priscila Ramos ◽  
Estefanía Custodio ◽  
Sofía Jiménez ◽  
Alfredo J. Mainar-Causapé ◽  
Pierre Boulanger ◽  
...  
Keyword(s):  
Rural Areas ◽  
Market Access ◽  
National Level ◽  
Economic Policies ◽  
The Sustainable Development ◽  
Household Level ◽  
Poor Households ◽  
Per Capita ◽  
Food Security And Nutrition ◽  
Nutrition Sensitive

AbstractThe sustainable development goal #2 aims at ending hunger and malnutrition by 2030. Given the numbers of food insecure and malnourished people on the rise, the heterogeneity of nutritional statuses and needs, and the even worse context of COVID-19 pandemic, this has become an urgent challenge for food-related policies. This paper provides a comprehensive microsimulation approach to evaluate economic policies on food access, sufficiency (energy) and adequacy (protein, fat, carbohydrate) at household level. The improvement in market access conditions in Kenya is simulated as an application case of this method, using original insights from households’ surveys and biochemical and nutritional information by food item. Simulation’s results suggest that improving market access increases food purchasing power overall the country, with a pro-poor impact in rural areas. The daily energy consumption per capita and macronutrients intakes per capita increase at the national level, being the households with at least one stunted child under 5 years old, and poor households living areas outside Mombasa and Nairobi, those which benefit the most. The developed method and its Kenya's application contribute to the discussion on how to evaluate nutrition-sensitive policies, and how to cover most households suffering food insecurity and nutrition deficiencies in any given country.

scholarly journals Seasonality and household diets in Ethiopia

2015 ◽  
Vol 19 (10) ◽  
pp. 1723-1730 ◽  
Author(s):  
Kalle Hirvonen ◽  
Alemayehu Seyoum Taffesse ◽  
Ibrahim Worku Hassen
Keyword(s):  
Food Security ◽  
Energy Intake ◽  
Rural Areas ◽  
Urban Areas ◽  
Dietary Diversity ◽  
Rural Households ◽  
Household Level ◽  
Rural And Urban ◽  
Per Capita ◽  
Nationally Representative

AbstractObjectiveTo revisit seasonality by assessing how household diets vary across agricultural seasons in rural and urban Ethiopia. The role of seasonality on the sources and intake of energy (per capita) and household dietary diversity score (HDDS) was analysed.DesignThe use of nationally representative household-level data collected each month over one year to study the seasonal changes in the sources and intake of energy and HDDS.SettingEleven regions of Ethiopia, including rural and urban settings.SubjectsTotal of 27 835 households were interviewed between July 2010 and July 2011 in all eleven regions of the country. On average each month saw 2300 household interviews, yielding nationally representative data for each calendar month.ResultsFor rural households, the mean daily per capita energy intake was 10 288 kJ (2459 kcal) in February (post-harvest period) and lower in the lean season: 9703 kJ (2319 kcal) in June (P<0·05) and 9552 kJ (2283 kcal) in July (P<0·001). HDDS for rural households was highest in February (6·73) and lowest in June (5·98; P<0·001) but high again in July (6·57). Urban energy intake was also lower in the lean season but HDDS varied less by season. Considerable seasonal variation was also found in energy sources in rural areas, less so in urban areas.ConclusionsHousehold diets in Ethiopia remain subjected to significant seasonal stress. HDDS and food security measured using energy intake do not always agree. Preferably, HDDS and energy intake data should be used together to assess food security.

The impact of domestic water on household enterprises: evidence from Vietnam

Water Policy ◽  
2009 ◽  
Vol 12 (2) ◽  
pp. 237-247 ◽  
Author(s):  
Stacey Noel ◽  
Hoang Thi Phuong ◽  
John Soussan ◽  
Jon C. Lovett
Keyword(s):  
Rural Areas ◽  
Small Scale ◽  
Domestic Water ◽  
Waste Products ◽  
Household Level ◽  
Piped Water ◽  
Poor Households ◽  
Using Data ◽  
The Impact ◽  
Micro Enterprises

A number of rural household-based productive activities, such as kitchen gardens, livestock rearing and micro enterprises, are dependent on adequate supplies of domestic water to operate. This paper examines whether improved access to piped water can facilitate these types of activities, particularly for poor households. Using data from rural Vietnam, we find that most household enterprises use non-metered water and have very small profit margins. Thus, the evidence suggests that these enterprises may be better supported by a household-level water supply infrastructure, such as well pumps and rainwater catchment tanks, rather than by piped systems in rural areas. We also found an unanticipated link between operating small-scale food production businesses and raising livestock: for many households, waste products from food-based micro enterprises were used for rearing pigs, and this enabled business owners to expand their pork production, a significant source of income and prosperity in rural Vietnam.

scholarly journals The Impacts of Spatial Interaction on Agricultural Productivity and Average Income: A Case of Vietnam

2021 ◽  
Vol 2 (2) ◽  
pp. 12-20
Author(s):  
Bac Truong Cong ◽  
Tran Quang Van
Keyword(s):  
Spatial Interaction ◽  
Panel Data Analysis ◽  
National Level ◽  
Agricultural Productivity ◽  
Transportation Systems ◽  
Living Standards ◽  
Economic Policies ◽  
Average Income ◽  
Per Capita ◽  
The Impact

Agricultural productivity plays a crucial role in sustainable development while income is one of the most critical indicators that manifest the living standards; therefore, both of these aspects have attracted much attention from the national level to the provincial level. Yet, for various reasons, the importance of regional linkages, especially spatial interaction in the analysis of agricultural productivity and the average income, is not recognized and thus ignored in economic policies. Taking Vietnam as the study area, this paper examines the impact of spatial interaction between metropolises and provinces on agricultural productivity and income per capita of provinces.  In order to evaluate the impacts, this paper uses a gravity model to estimate the spatial interaction then panel data analysis is employed to interpret the influences. The data used in this study is collected from the General Statistics Office of Vietnam in the period from 2015-2018. The results show a positive correlation between spatial interaction between metropolis and provinces to provincial change, including agricultural productivity and average income. As such, stronger linkages with metropolises through improving transportation systems could enhance agricultural productivity and income in the province.

scholarly journals Factors Affecting Human Capital in Southern Punjab: An Empirical Analysis

2021 ◽  
Vol 4 (1) ◽  
pp. 179-191
Author(s):  
Salyha Zulfiqar Ali Shah ◽  
Imran Sharif Chaudhry ◽  
Fatima Farooq
Keyword(s):  
Human Capital ◽  
Rural Areas ◽  
Household Head ◽  
Household Survey ◽  
Ordinary Least Squares ◽  
Primary Data ◽  
Factors Affecting ◽  
Household Level ◽  
Annual Budget ◽  
Per Capita

Analyzing the factors affecting human capital at household level increases the productivity of people living in developing countries. A primary data was collected through a household survey to study the factors affecting human capital in Southern Punjab using Ordinary Least Squares (OLS) regression technique. The findings show that the location of the household in rural areas, occupation of the household head in the primary sector, household size, household poverty and female/male ratio shows significant and negatively affecting the human capital of the households in Southern Punjab. Moreover, per capita income, number of earners in the household, remittances are significant and positively affecting the human capital of the households in Southern Punjab. The annual budget allocation for education in Pakistan is very low, so Government should allocate a significant amount of funds to the education sector.

scholarly journals SDG3-related inequalities in women’s, children’s and adolescents’ health: an SDG monitoring baseline for Latin America and the Caribbean using national cross-sectional surveys

BMJ Open ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. e047779
Author(s):  
Antonio Sanhueza ◽  
Liliana Carvajal-Vélez ◽  
Oscar J Mújica ◽  
Luis Paulo Vidaletti ◽  
Cesar G Victora ◽  
...  
Keyword(s):  
Latin America ◽  
Health Inequalities ◽  
Rural Areas ◽  
Urban Areas ◽  
National Level ◽  
Demographic And Health Surveys ◽  
Cross Sectional ◽  
The Sustainable Development ◽  
The Caribbean ◽  
Nationally Representative

ObjectivesLatin America and the Caribbean (LAC) countries have made important progress towards achieving the Sustainable Development Goal (SDG) targets related to health (SDG3) at the national level. However, vast within-country health inequalities remain. We present a baseline of health inequalities in the region, against which progress towards the SDGs can be monitored.SettingWe studied 21 countries in LAC using data from Demographic and Health Surveys and Multiple Indicator Cluster Survey carried out from 2011 to 2016ParticipantsThe surveys collect nationally representative data on women and children using multistage sampling. In total, 288 207 women and 195 092 children made part of the surveys in the 21 countries.Outcome measuresFive health intervention indicators were studied, related to reproductive and maternal health, along with adolescent fertility and neonatal and under-five mortality rates. Inequalities in these indicators were assessed through absolute and relative measures.ResultsIn most countries, subnational geographical health gradients were observed for nearly all women, child, and adolescent (WCA) indicators. Coverage of key interventions was higher in urban areas and among the richest, compared with rural areas and poorer quintiles. Analyses by woman’s age showed that coverage was lower in adolescent girls than older women for family planning indicators. Pro-urban and pro-rich inequalities were also seen for mortality in most countries.ConclusionsRegional averages hide important health inequalities between countries, but national estimates hide still greater inequalities between subgroups of women, children and adolescents. To achieve the SDG3 targets and leave no one behind, it is essential to close health inequality gaps within as well as between countries.

scholarly journals Solar Microgrids in Rural India

2021 ◽  
Vol 4 (2) ◽  
pp. 65-93
Author(s):  
Debalina Chakravarty ◽  
Joyashree Roy
Keyword(s):  
Time Allocation ◽  
Rural Areas ◽  
Energy Efficient ◽  
Rural Households ◽  
Rebound Effect ◽  
Study Data ◽  
Western India ◽  
Household Level ◽  
Poor Households ◽  
The Village

This study evaluates the benefits that rural households in India derive from dedicated solar microgrid service systems. A case study was conducted in Lakshmipura-Jharla, Rajasthan, a village in western India with significant potential for producing solar energy. In 2013, a private investor set up a solar microgrid in the village and distributed energy-efficient appliances. Its goal was to give poor households access to modern energy services. The study data were collected through a survey conducted among randomly selected households in the village. The survey found that such an electricity provision service had multidimensional benefits: flexible use of the energy service, more effective time allocation among women, more study time for students, improved indoor air quality, and safer public places. Given the initial unmet demand for modern energy in the village, technological interventions supported by policy has helped to expand consumption possibilities and new demand for services has emerged. The household-level frontier rebound effect is estimated to be more than 100%, reflecting a one-and-a-half times increase in the demand for illumination services among rural households. Frontier rebound effect estimates help quantify the benefits of solar microgrids and energy-efficient appliances for households in rural areas...

scholarly journals Demand Supply Gap in Urban Water Supply and Sanitary Services- A Case Study of Mangalore City Corporation Area

2009 ◽  
Vol 5 (2) ◽  
pp. 103-124
Author(s):  
Nagendra ◽  
Suresh
Keyword(s):  
Rural Areas ◽  
Sub Saharan Africa ◽  
Double Burden ◽  
Household Level ◽  
Human Needs ◽  
Poor Households ◽  
Slum Dwellers ◽  
Access To Water ◽  
Political Choices ◽  
Sub Saharan

Today, some 1.1 billion people in developing countries have inadequate access to water, and 2.6 billion lack basic sanitations. These twin deficits were rooted in institutions and political choices, not in water’s availability. Household water requirements represent a tiny fraction of water use, usually less than 5% of the total, but there is tremendous inequality in access to clean water and to sanitation at a household level. In high-income areas of cities in Asia, Latin America and Sub-Saharan Africa people enjoy access to several hundred litres of water a day delivered into their homes at low prices by public utilities. Meanwhile, slum dwellers and poor households in rural areas of the same countries have access to much less than the 20 litres of water a day per person required to meet the most basic human needs. Women and young girls carry a double burden of disadvantage, since they are the ones who sacrifice their time and their education to collect water.

scholarly journals Socioecologically informed use of remote sensing data to predict rural household poverty

2019 ◽  
Vol 116 (4) ◽  
pp. 1213-1218 ◽  
Author(s):  
Gary R. Watmough ◽  
Charlotte L. J. Marcinko ◽  
Clare Sullivan ◽  
Kevin Tschirhart ◽  
Patrick K. Mutuo ◽  
...  
Keyword(s):  
Satellite Data ◽  
Rural Areas ◽  
Agricultural Land ◽  
Remote Sensing Data ◽  
Household Survey ◽  
Household Wealth ◽  
Multilevel Approach ◽  
The Sustainable Development ◽  
Household Level ◽  
Development Goals

Tracking the progress of the Sustainable Development Goals (SDGs) and targeting interventions requires frequent, up-to-date data on social, economic, and ecosystem conditions. Monitoring socioeconomic targets using household survey data would require census enumeration combined with annual sample surveys on consumption and socioeconomic trends. Such surveys could cost up to $253 billion globally during the lifetime of the SDGs, almost double the global development assistance budget for 2013. We examine the role that satellite data could have in monitoring progress toward reducing poverty in rural areas by asking two questions: (i) Can household wealth be predicted from satellite data? (ii) Can a socioecologically informed multilevel treatment of the satellite data increase the ability to explain variance in household wealth? We found that satellite data explained up to 62% of the variation in household level wealth in a rural area of western Kenya when using a multilevel approach. This was a 10% increase compared with previously used single-level methods, which do not consider details of spatial landscape use. The size of buildings within a family compound (homestead), amount of bare agricultural land surrounding a homestead, amount of bare ground inside the homestead, and the length of growing season were important predictor variables. Our results show that a multilevel approach linking satellite and household data allows improved mapping of homestead characteristics, local land uses, and agricultural productivity, illustrating that satellite data can support the data revolution required for monitoring SDGs, especially those related to poverty and leaving no one behind.

POOR HOUSEHOLDS EXPENDITURE FOR PREVENTIVE AND CURATIVE HEALTH NEEDS

2020 ◽  
Vol 11 (1) ◽  
pp. 197-208
Author(s):  
Johannes Simatupang ◽  
Junaidi Junaidi
Keyword(s):  
Rural Areas ◽  
Local Governments ◽  
Health Expenditure ◽  
Health Expenditures ◽  
Multiple Regression Model ◽  
Health Needs ◽  
Capita Expenditure ◽  
Statistical Measures ◽  
Poor Households ◽  
Per Capita

The purpose of this research is to analyze: 1) patterns and allocation of household expenditure in poor urban and rural areas for preventive and curative health needs in Jambi Province; 2) socio-economic factors that affect their expenditure. Data is gath-ered thorough poor households at the locus of chosen village. To analyze the patterns and allocation of household expenditures, descriptive statistical measures as well as single and cross frequency tables is used. Furthermore, to analyze the factors influenc-ing, multiple regression model is used. The results found that: 1) the average health expenditure per capita per year of was IDR 67,391. It is 1.37 percent of the total annu-al expenditure per capita, or only 3.56 percent of the total per capita annual expendi-ture for non-food needs. Furthermore, detailed health expenditures for curative and preventive, it was found that 73.36 percent of health expenditures for poor households were for curative needs and only 26.64 percent were allocated for preventive health needs; 2) socioeconomic factors that significantly influence health expenditure are: family head age, head of the family education, field and business status, per capita expenditure, and structure of household members according to age, education and main activities. Therefore to improve health poor household service requires a massive campaign to encourage them to go to service center. This service is granted by local governments, though it still have difficulties to be implemented on health insurance scheme in Indonesia (BPJS).

scholarly journals Trends in Houshold Employment Inequality

1970 ◽  
Author(s):  
Susan Singley ◽  
Paul Callister
Keyword(s):  
New Zealand ◽  
Geographic Location ◽  
Oecd Countries ◽  
Future Research ◽  
Economic Policies ◽  
Household Level ◽  
Poor Households ◽  
Employment Rates ◽  
International Comparative ◽  
Employment Inequality

Since at least the mid-1980s there has been a growth both "work-rich" and "work-poor" households across a range of OECD countries, including New Zealand, Australia, and Britain. In this paper, we present initial results from the New Zealand component of an international comparative study on trends in household employment inequality. Using annual household-level HLFS data for 1986 through 2001, we find that household employment inequality increased dramatically during the late 1980s and early 1990s but has since declined to about the 1986 level. The composition of jobless households changed significantly over the period, with joblessness becoming more concentrated among childrearing households. Changes in the employment rates of specific household types were much more important than changes in household structure in shaping the observed trends in household employment inequality. Future research will examine the role of age, education, gender, ethnicity and geographic location in stratifying employment both within and across different household types, and will explore differences between New Zealand and several OECD countries in household employment inequality and associated social and economic policies.

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