scholarly journals The global availability of n-3 fatty acids

2011 ◽  
Vol 14 (7) ◽  
pp. 1157-1164 ◽  
Author(s):  
Stefka Petrova ◽  
Plamen Dimitrov ◽  
Walter C Willett ◽  
Hannia Campos

AbstractObjectivesTo assess the validity of FAO data on the availability of fish and vegetable oils as an indicator of national n-3 fatty acid (FA) intake and to estimate the worldwide population living in countries with low n-3 FA intake.DesignLevels of the essential FA α-linolenic acid (ALA) and DHA, measured by GC in adipose tissue from participants in the present study and from published studies in eleven other countries, were used to validate ALA and fish availability estimated from FAO food balance sheets. On the basis of the validated FAO data for ALA and fish availability, we estimated the global prevalence of low n-3 FA availability.SettingRural and urban areas of Bulgaria.SubjectsFifty men and fifty-eight women.ResultsAdipose tissue ALA and DHA levels (0·34 % and 0·11 % of total FA, respectively) in Bulgaria were lower than those of the eleven other countries with available data. A strong positive correlation was found between adipose tissue DHA and fish availability (r = 0·88) and between adipose tissue ALA and ALA availability (r = 0·92). Approximately half of the world's population lived in middle- and low-income countries with limited access to n-3 FA (fish < 400 g/week and ALA < 4 % of total vegetable oils), with the largest proportion being in South-East Asia (53·6 %), followed by Africa (27·1 %) and Eastern Europe (8·5 %). Of this half, 33 % lived in countries such as Bulgaria where n-3 FA was almost unavailable (fish < 200 g/week and ALA < 2 % of total vegetable oils).ConclusionsVery low availability of n-3 FA is extensive worldwide.

Author(s):  
Remus Runcan

According to Romania’s National Rural Development Programme, the socio-economic situation of the rural environment has a large number of weaknesses – among which low access to financial resources for small entrepreneurs and new business initiatives in rural areas and poorly developed entrepreneurial culture, characterized by a lack of basic managerial knowledge – but also a large number of opportunities – among which access of the rural population to lifelong learning and entrepreneurial skills development programmes and entrepreneurs’ access to financial instruments. The population in rural areas depends mainly on agricultural activities which give them subsistence living conditions. The gap between rural and urban areas is due to low income levels and employment rates, hence the need to obtain additional income for the population employed in subsistence and semi-subsistence farming, especially in the context of the depopulation trend. At the same time, the need to stimulate entrepreneurship in rural areas is high and is at a resonance with the need to increase the potential of rural communities from the perspective of landscape, culture, traditional activities and local resources. A solution could be to turn vegetal and / or animal farms into social farms – farms on which people with disabilities (but also adolescents and young people with anxiety, depression, self-harm, suicide, and alexithymia issues) might find a “foster” family, bed and meals in a natural, healthy environment, and share the farm’s activities with the farmer and the farmer’s family: “committing to a regular day / days and times for a mutually agreed period involves complying with any required health and safety practices (including use of protective clothing and equipment), engaging socially with the farm family members and other people working on and around the farm, and taking on tasks which would include working on the land, taking care of animals, or helping out with maintenance and other physical work”


2019 ◽  
Author(s):  
efi rahmadhani

Economic growth essentially aims to improve the welfare of the community, so that increased economic growth is needed and more equitable income distribution. However, if the growth is followed by an improvement in income distribution, it will be difficult to create prosperity for the community in general, because the income distribution is uneven or does not run smoothly, so that it will automatically disrupt the Indonesian economy, and will be in poverty.But the high level of economic inequality in Indonesia has resulted in low income groups unable to access basic needs and services such as food, health and education. This can adversely affect the community and slow down the human development process, as measured by the Human Development Index (HDI). Sources of economic inequality, especially in Indonesia, are due to the implementation of the economic system of capitalism, differences in natural resource content, market fundamentalism that encourage rich people to reap the biggest profits from economic growth, increased political capture, gender inequality, low wages lifting itself from poverty, inequality of access between rural and urban areas to infrastructure, a taxation system that fails to play an important role in distributing income.One of the country's efforts to reduce inequality between regions or regions is of course through equitable development in the regions. This is related to regional development, where regional development is an integral part of national development. Thus, it is expected that the results of development will be distributed and allocated to regional levels.


2018 ◽  
Vol 15 (2) ◽  
pp. 38-42
Author(s):  
Marián Kováčik ◽  
Eva Žuffová

Abstract The focus of the following article was to study development of certain social and economic indicators in Slovakia. We focused this paper on two types of regions in Slovakia, urban and rural. For this purpose we decided to measure the development of inhabitants in rural and urban areas as well as median age of the population. We also partially focused on the sector of agriculture since it used to play an important role in rural areas as a key employer. We found that there is a trend of moving people from urban to rural areas and that agriculture is losing its key role because of decreasing employment trend. This can be caused by low attractiveness of this sector and low income which, nowadays, plays an important role in finding a job.


Agro Ekonomi ◽  
2006 ◽  
Vol 13 (2) ◽  
Author(s):  
Meliyanah Meliyanah ◽  
Suhatmini Hardyastuti ◽  
Djuwari Djuwari

This research diamed to: 1) knowing the selft-price elasticity, cross-price elasticity and income elasticity of consumption per food item on household level according to location and income level; and 2) knowing the reation between level of income and food consumption on household level according to location and income level.This research used data from SUSENAS of Lmapung Province in 2002 with number of sample of 2091 household, which being differed between rural and urban areas based on low, middle, and high level of income. The data analysis used tobit model and sensored regression.The result showed that: 1) the demand of rice and beeh for household consumption in every level of income in rural and urban areas were inelastic; 2) Coen only been consumed by low income level household in rural areas and the demand was inelastic; 3) the demand of cassava for household consumption on low income level in urban area was elastic, While in middle income level, high income level and every level of income in rural area, cassava demand was inelastic. Cassava was considered as inferior goods; 4) The demand of fish for household consumption an every level of income in rural and urban areas was elastic. Household in rural area on every level of income and in urban areas on middle and high income level consider fish as a main necessity. While on low income level  household in urban areas, it was considered as classy/exclusive good; 5) the demand of chicken; for household in rural areas on middle and high income level was inelastic. When in rural low income level and urban middle and high income level, was inelastic chicken meat was considend as classy/exclusive good the rural low income level household; 6) egg demand for household consumption in rural areas on every level of income was inelastic, while in urban area it was elastic for every level income; 7) the rural and urban household on every level of income considered rice as the stpale food; 8) Household in rural and urban areas on middle and high level of income considered beef as main necessity; 9) On household with middle income level in rural areas, egg was considere as inferior good; while an low income level in urban areas, egg was considere as expensive good.


Author(s):  
Joan Hamory ◽  
Marieke Kleemans ◽  
Nicholas Y Li ◽  
Edward Miguel

Abstract Recent research has pointed to large gaps in labor productivity between the agricultural and non-agricultural sectors in low-income countries, as well as between workers in rural and urban areas. Most estimates are based on national accounts or repeated cross-sections of microsurvey data, and as a result typically struggle to account for individual selection between sectors. This paper uses long-run individual-level panel data from two low-income countries (Indonesia and Kenya) to explore these gaps. Accounting for individual fixed effects leads to much smaller estimated productivity gains from moving into the non-agricultural sector (or urban areas), reducing estimated gaps by roughly 67%–92%. Furthermore, gaps do not emerge up to 5 years after a move between sectors. We evaluate whether these findings imply a re-assessment of the conventional wisdom regarding sectoral gaps, discuss how to reconcile them with existing cross-sectional estimates, and consider implications for the desirability of sectoral reallocation of labor.


Agro Ekonomi ◽  
2016 ◽  
Vol 14 (1) ◽  
pp. 50
Author(s):  
Cristovao R ◽  
Slamet Hartono ◽  
Jangkung Handoyo Mulyo

The objectives of the study were (1) to determine thefactors influencing rice consumption in urban and rural areas of Yogyakarta Special Province and (2) to determine the own price, cross price and income elasticity of rice consumption at different income levels in rural and urban areas. National Socio-Economic Survey (SUSENAS) data of 2005 Yogyakarta Special Province on rice consumption was used Totalrespondents 1990 households. Regression model used in the analysis was OLS. The result showed that thefactors that influence the consumption of rice are the price of the rice itself, price of the related household goods, income level, education of the mother, number offamily members, and location. Thefactors that individually influence rice consumption vary by kinds of rice, location, and income level. Therefore, the demand of rice in DIY is inelastic, the change of price did not significantly influence rice demand. Generally, rice is normal good at low income household level in the rural and urban areas andfor middle income in the rural, and in middle income and high income in the urban, rice is a inferior good. In other side, rice is Substituted for cassava and sweet potato. Rice is complementary for catfish, fermented soybean cake, cassava, egg, and tofu.Keywords: rice consumption, elasticity, substitution, complementary.


Agro Ekonomi ◽  
2016 ◽  
Vol 8 (1) ◽  
pp. 60
Author(s):  
Suslinawati Suslinawati ◽  
Masyhuri Masyhuri ◽  
Mas Soedjono

This research wanted to know the consumer behavior in demand of egg as source of animal protein in South Kalimantan. In particular, this research aimed to identify and to know the price elasticity, cross elasticity and income elasticity at low, middle and high income groups, which were divided into the rural and urban areas and also were divided into egg of layer, "buras" and duck.The data that was used in this research was SUSENAS data 1996, with 1698 surveyed households. The analysis used TOBIT model or the censored regression model. TOBIT model is a regression model that was used to estimate the qualitative difference between limit observation (zero) and non-limit observation (continuous).The result also showed that generally, the characteristic of demand of egg based on SUSENAS data 1996 in South Kalimantan was in-elastic except on demand of egg at low income stratum in rural area and on demand of egg of "buras", where the both of them were elastic. In accordance with SUSENAS data 1996, for South Kalimantan society, egg was normal good since all estimations showed that income elasticity was higher than zero and smaller than one


2021 ◽  
Vol 15 (1) ◽  
pp. 138-152
Author(s):  
Aneesh M.R.

Wide disparity exists in access to drinking water across social groups in rural and urban India. This article shows that the economically weaker sections or the lower quintile class does not have access to water within the premises both in rural and urban areas. This indicates that low income or wealth would mean poor access to basic amenities for households. Similarly, access to toilets and incidence of open defaecation reflect social disparities. The regression results show that an increase in the household income increases the predicted probability of maintaining an exclusive latrine. Further, compared to the ‘General Category’, the ‘Scheduled Castes’ and ‘Other Backward Classes’ have a lower probability of constructing an exclusive latrine facility, in the rural and urban areas.


2019 ◽  
Vol 17 ◽  
pp. 71-80
Author(s):  
Sadanu Sukkasame

This paper compares two contrasting processes of low-income community design in rural and urban areas in Thailand. The low-income Srabot community in the urban area is constructing a new settlement on newly purchased land. In parallel, the indigenous Banggloy community is located in the National Park as a community who were forcibly evicted from their village home to an allocated area where they constructed dwellings in the new village. Both cases were supported by housing loans and funding from the Thai Community Organizations Development Institute (CODI)1. The aim of this paper is to examine collaborative learning process based on low-income community design. Both cases employed participatory housing and planning design workshops. The urban community focused on designing the community masterplan. In contrast, the rural indigenous community concentrated on the housing design. In both projects, the occupants were encouraged to be the key actors and to decentralize the solution finding process. The outcome of workshops generated the activities and possible solutions that respect the need for the stakeholders and motivate them to continue to be active.


2015 ◽  
Vol 74 (10) ◽  
Author(s):  
Norazli Othman ◽  
Roslina Mohammad ◽  
Samira Albati Kamaruddin

The most fundamental element in planning electronic waste management is to acquire reliable data on the total volume of electronic waste generated from various sources such as residential premises, commercial buildings and industrial areas. Hence, a crucial aspect of electronic waste management is to predict the accumulation of electronic wastes in the future.  This study aims to predict electronic waste to be disposed of for the next 15 years, focusing only on electronic waste from residential areas. A few rural and urban areas of residential premises were randomly selected as a case study. The result for this study was deduced from the survey and interviews conducted in the vicinity of the study area. Thirty sets of questionnaire were distributed randomly at each selected area. The residential area was divided into three categories i.e. residents with low income (LI), residents with medium income (MI) and residents with high income (HI). The survey was done by distributing the questionnaire to investigate electronic equipment usage and its lifespan by users as well as the waste management option preferred by the residents. The findings of the study showed that approximately 51% of the generated electronic waste will go through four stages of waste management options i.e. reuse, repair, remanufacturing and recycling, while approximately 49% of the generated electronic waste will go through the disposal option i.e. landfill sites. The result of the study showed that the predicted lifespan for the electronic equipment used by residents in Malaysia is between the ranges of 0-15 years. On average, as much as 5% of used home electronic equipment will be disposed of after 6 years of usage, 41% after 9 years and 3% after 12 years. From the study, the information regarding the percentage of electronic waste that will be reused, repaired, remanufactured, recycled and disposed of for the next 15 years can be gained and is presented via scientific analysis.


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