scholarly journals ANALISIS KONSUMSI PANGAN TINGKAT RUMAH TANGGA DI PROPINSI LAMPUNG

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.

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.


2020 ◽  
Author(s):  
Manoj Mohanan ◽  
Anup Malani ◽  
Kaushik Krishnan ◽  
Anu Acharya

AbstractAlthough the vast majority of confirmed cases of COVID-19 are in low- and middle-income countries, there are relatively few published studies on the epidemiology of SARS-CoV-2 in these countries. The few there are focus on disease prevalence in urban areas. We conducted state-wide surveillance for COVID-19, in both rural and urban areas of Karnataka between June 15-August 29, 2020. We tested for both viral RNA and antibodies targeting the receptor binding domain (RBD). Adjusted seroprevalence across Karnataka was 46.7% (95% CI: 43.3-50.0), including 44.1% (95% CI: 40.0-48.2) in rural and 53.8% (95% CI: 48.4-59.2) in urban areas. The proportion of those testing positive on RT-PCR, ranged from 1.5 to 7.7% in rural areas and 4.0 to 10.5% in urban areas, suggesting a rapidly growing epidemic. The relatively high prevalence in rural areas is consistent with the higher level of mobility measured in rural areas, perhaps because of agricultural activity. Overall seroprevalence in the state implies that by August at least 31.5 million residents had been infected by August, nearly an order of magnitude larger than confirmed cases.


Agro Ekonomi ◽  
2013 ◽  
Vol 24 (2) ◽  
pp. 169
Author(s):  
Fiska Rahmawati ◽  
Dwidjono Hadi Darwanto ◽  
Jangkung Handoyo Mulyo

This study aims to 1) determine factors that influenced the level of household consumption of rice 2) determinwe the elasticity of demand for rice at the household level, and 3) determine differnes of household rice consumption in rural and urban areas. This study used National Socio-Economic Survey (SUSENAS) data at household level from Central Bureau of Statistic (BPS) in 2011 for Yogyakarta Special Region. About 173 households out of 3200 households in rural and urban areas were chsen as sample in this research. The first and second objectives were analyzed by using OLS method, while the third objective was analyzed by using t-test. The result showed that households rice consumption was influenced by the prices of rice, sweet potato, instant noodles, beef, tempe, number of  members, income, and location of residence. Household consumption of rice in Yogyakarta was positively influenced by the price of instant noodles and the number of household members, but it was negatively affected by the rpice of rice, beef prices, and income. There was a difference between rice consumption in urban and rural areas. Based on the concept of price elasticity, it was known that households rice consumption was inelastic, instant noodles is substitute of rice and beef was complementing rice. The average household rice consumption in rural areas was higher than that of urban households.


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”


Author(s):  
Ruchika Agarwala ◽  
Vinod Vasudevan

Research shows that traffic fatality risk is generally higher in rural areas than in urban areas. In developing countries, vehicle ownership and investments in public transportation typically increase with economic growth. These two factors together increase the vehicle population, which in turn affects traffic safety. This paper presents a study focused on the relationship of various factors—including household consumption expenditure data—with traffic fatality in rural and urban areas and thereby aims to fill some of the gaps in the literature. One such gap is the impacts of personal and non-personal modes of travel on traffic safety in rural versus urban areas in developing countries which remains unexplored. An exhaustive panel data modeling approach is adopted. One important finding of this study is that evidence exists of a contrasting relationship between household expenditure and traffic fatality in rural and urban areas. The relationship between household expenditure and traffic fatality is observed to be positive in rural areas and a negative in urban areas. Increases in most expenditure variables, such as fuel, non-personal modes of travel, and two-wheeler expenditures, are found to be associated with an increase in traffic fatality in rural areas.


2019 ◽  
pp. 1-7
Author(s):  
Saad Alshahrani ◽  
Ahmed Hablas ◽  
Robert M. Chamberlain ◽  
Jane Meza ◽  
Steven Remmenga ◽  
...  

PURPOSE Uterine cancer is a top-ranking women’s cancer worldwide, with wide incidence variations across countries and by rural and urban areas. Hormonal exposures and access to health care vary between rural and urban areas, globally. Egypt has an overall low incidence of uterine cancer but variable rural and urban lifestyles. Are there changes in the incidence of uterine cancer in rural and urban areas in middle-income countries such as Egypt? No previous studies have addressed this question from a well-characterized and validated population-based cancer registry resource in middle-income countries. The aim of this study was to explore the differences in clinical and demographic characteristics of uterine cancer over the period of 1999 to 2010 in rural and urban Gharbiah province, Egypt. METHODS Data were abstracted for all 660 patients with uterine cancer included in the Gharbiah Population-based Cancer Registry. Clinical variables included tumor location, histopathologic diagnosis, stage, grade, and treatment. Demographic variables included age, rural or urban residence, parity, and occupation. Crude and age-adjusted incidence rates (IRs) and rate ratios by rural or urban residence were calculated. RESULTS No significant differences were observed in most clinical and demographic characteristics between rural and urban patients. The age standardized IR (ASR) was 2.5 times higher in urban than in rural areas (6.9 and 2.8 per 100,000 in urban and rural areas, respectively). The rate ratio showed that the IR in urban areas was 2.46 times the rate in rural areas. CONCLUSION This study showed that the disease IR in rural areas has increased in the past decade but is still low compared with the incidence in urban areas in Egypt, which did not show a significant increase in incidence. Nutritional transitions, obesity, and epidemiologic and lifestyle changes toward Westernization may have led to IRs increasing more in rural than in urban areas in Egypt. This pattern of increasing incidence in Egypt, which used to have a low incidence of uterine cancer, may appear in other middle-income countries that experience emerging nutritional and epidemiologic transitions. The rate of uterine cancer in urban areas in Gharbiah is almost similar to the corresponding rates globally. However, the rate in rural areas in this population has increased over the past decade but is still lower than the corresponding global rates. Future studies should examine the etiologic factors related to increasing rates in rural areas and quantify the improvement in rural case finding.


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.


2021 ◽  
Vol 66 ◽  
Author(s):  
Anna Marzà-Florensa ◽  
Daniel Boateng ◽  
Charles Agyemang ◽  
Erik Beune ◽  
Karlijn A. C. Meeks ◽  
...  

Objectives: Multimorbidity is a growing public health concern due to the increasing burden of non-communicable diseases, yet information about multimorbidity in low- and middle-income countries and migrant populations is scarce. We aimed to investigate the distribution and patterns of multimorbidity in rural and urban areas in Ghana and Ghanaian migrants in Europe.Methods: The RODAM cross-sectional study included 4,833 participants. Multimorbidity was defined as presence of multiple non-communicable chronic conditions. Patterns were determined from frequent combination of conditions. Prevalence ratios were estimated by logistic regression.Results: Prevalence of multimorbidity was higher in women and in urban Ghana and Europe. We observed a cardiometabolic pattern in all sites as well as circulatory-musculoskeletal and metabolic-musculoskeletal combinations in Ghana. Multimorbidity prevalence ratios were higher in Europe (men 1.47, 95% CI 1.34–1.59, women 1.18, 1.10–1.26) and urban Ghana (men 1.46, 1.31–1.59, women 1.27, 1.19–1.34).Conclusion: Distribution and patterns of multimorbidity differed by sex and site. With a higher burden of multimorbidity in urban areas, prevention strategies should focus on forestalling its increase in rapidly growing rural areas.


2019 ◽  
Vol 15 (2) ◽  
pp. 73-82
Author(s):  
Alok Pandey ◽  
Annapurna Dixit

In the present study an attempt has been made to estimate the responsiveness of prices and household expenditure on consumption of energy for cooking and lighting at household level in rural and urban areas of All India. Household level energy elasticities are estimated for the rural and urban areas with the help of dummy variable regression approach by using NSSO 66th quinnquenial rounds of unit level data.. The results reveal the fact that average expenditure recorded on energy for cooking and lighting in urban areas is higher than in rural areas at all India level. Majority of the households are using dirty fuel for cooking in rural areas while in urban areas clean fuel i.e. LPG is used for cooking. The expenditure on energy for cooking and lighting at household level is inelastic. The marginal budget share in rural and urban areas is the same. Result reveal the fact that hundred percent increase in prices of energy for cooking and lighting will increase the expenditure of households in rural region more than in urban region.


2007 ◽  
Vol 1 (1) ◽  
pp. 36
Author(s):  
Rina Yenrina ◽  
Yuliana Yuliana ◽  
Deddy Muchtadi

<p class="MsoNormal" style="margin: 0cm 12.6pt 6pt 18pt; text-align: justify; text-indent: 27pt;"><span lang="en-us" xml:lang="en-us">The study was aimed to get data on kind of processing and acceptance level of local soybean products in rural and urban areas in Java Island. The study locations were South Jakarta (Province of DKI Jakarta); Serang and Tangerang (Province of Banten); Bekasi, Bogor and Bandung (Province of West Java); Purwokerto, Semarang and Solo (Province of Central Java); Yogyakarta (Province of D.I.Yogyakarta); Malang, Jember and Surabaya (Province of East Java). The study was a part of a grand study on processing, acceptance, and consumption pattern of local soybean products at various socio-economic level of households in Java Island in 2005.  The data were obtained by interviewing and observing 2080 households (consisted of 1280 households in urban and 800 households in rural areas) selected randomly. Soybean products that mostly found in the market and consumed by households of Indonesian people, particularly in Java Island, were tempe, tauco, soy-sauce, tofu, tofu-flower, soy-sprout, and oncom.  The mostly ways to process the soy products were stir-frying, deep-frying, toasting, boiling, and ‘bacem’.  Besides, there were also some soy products that consumed directly at a household level after factorized processing, namely as soy-sauce and soy-milk. The average time used to process the soy-products varied, depended on the way of processing and  number of the product processed.  Stir-frying, especially for tempe, tofu, and tauge, was a frequent way done by poor and rich households, both in urban and rural areas.  The products that mostly processed by frying in rural household was tempe, tofu and soybean, meanwhile in urban areas were only tempe and tofu.  The everage time used by urban households to fry the soy-products was shorter than time used by rural households. It was found that more than 90% of households in rural and urban areas stated “like” and “like very much” tempe, tofu, and soy-sauce.  However, the acceptance level of household on tauco, soy-milk, and soy-flower was still low, namely less than 50%.</span></p>


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