scholarly journals Food Diversification in Java

2021 ◽  
Vol 3 (3) ◽  
pp. 382-389
Author(s):  
Roeskani Sinaga ◽  
Manuntun Parulian Hutagaol ◽  
Sri Hartoyo ◽  
Nunung Nuryartono
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Income Group ◽  
Food Prices ◽  
Capita Expenditure ◽  
Income Groups ◽  
Study Results ◽  
Household Members ◽  
Per Capita ◽  
Urban And Rural Areas

Differences in economic structure, differences in income levels, food price levels cause differences in household consumption patterns. This paper analyzes food diversification in Java. Households are grouped by income group to assess the level of food diversification of each group. Households whose income groups Q3 and Q4 have lower food diversification compared to households in groups Q1 and Q2. The study results show that the value of BI is greater than the value of MBI in both urban and rural areas. This indicates that the source of calories does not come from only one type of commodity. The increase in per capita expenditure does not increase food diversification (the dependent variable is BI) for households in groups Q1 and Q2, while it is positive for households in groups Q3 and Q4. Food prices generally affect diversification. An increase in the number of household members will reduce the level of diversification for Q1 households. In contrast, increasing the number of household members will increase food diversification for Q2, Q3 and Q4 households. The level of household diversification in urban areas is higher than in rural areas.

scholarly journals Rural and urban poverty models on Sumatra Island

2021 ◽  
Vol 9 (1) ◽  
pp. 107-114
Author(s):  
Candra Mustika ◽  
Rahma Nurjanah
Keyword(s):  
Panel Data ◽  
Rural Areas ◽  
Urban Areas ◽  
Urban Poverty ◽  
Poverty Level ◽  
Capita Expenditure ◽  
Rural And Urban ◽  
Study Results ◽  
Sumatra Island ◽  
Per Capita

This study aims to analyze rural and urban poverty on Sumatra Island, Indonesia, and its determinants. The variables tested in the model are HDI (Human Development Index), GRDP (Gross Regional Domestic Product), and per capita expenditure. The data used is panel data for the provinces on Sumatra Island in the period 2011 - 2019. The analysis tool uses a panel data regression model. The study results found that during the 2011 - 2019 period, the rural poverty rate on Sumatra Island was 11.68 percent, relatively higher than in urban areas, 9.22 percent. The poverty gap index and poverty severity index in rural areas are also relatively higher than in urban areas. The research results also found that the poverty level in rural areas is significantly affected by HDI, while the GRDP and per capita expenditure does not significantly affect.

scholarly journals Changing Food Consumption and Nutrition Intake in Kazakhstan

Nutrients ◽  
2022 ◽  
Vol 14 (2) ◽  
pp. 326
Author(s):  
Mengmeng Jia ◽  
Lin Zhen ◽  
Yu Xiao
Keyword(s):  
Energy Intake ◽  
Food Consumption ◽  
Rural Areas ◽  
Urban Areas ◽  
Food Resource ◽  
Human Beings ◽  
Temporal Perspective ◽  
Nutrition Intake ◽  
Per Capita ◽  
Urban And Rural Areas

Food resource is an important bond that connects human beings and nature. In this study, we investigated the changes in food consumption and nutrition intake in Kazakhstan from a spatial and temporal perspective, from 2001 to 2018. The data were obtained from the Bureau of Statistics, international organizations and our social interview work. After the start of the 21st century, it was found that per capita food consumption significantly increased; however, the consumption of crop, vegetables and milk decreased. Per capita meat consumption was similar in both urban and rural areas. However, some food consumption showed differences between urban and rural areas. Changes of food consumption quantity and structure also had some effects on nutrient intake and the proportion of nutrients. Per capita energy intake in the national, urban and rural areas all increased remarkably. The energy intake changes in eastern states increased much more than that in western states. Protein intake in rural and urban areas was similar; however, the gap between carbohydrates and fat intake in urban and rural areas increased. The intake of protein, carbohydrates and fat in different states showed the same trend. Food consumption and nutrition intake are affected by economic, social and ecological factors.

scholarly journals Dynamic Analysis and Prediction of Food Nitrogen Footprint of Urban and Rural Residents in Shanghai

2020 ◽  
Vol 17 (5) ◽  
pp. 1760
Author(s):  
Yuling Xia ◽  
Chengsong Liao ◽  
Dianming Wu ◽  
Yanzhuo Liu
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Moving Average ◽  
Rural Residents ◽  
Urban And Rural Residents ◽  
Total Food ◽  
Development Goals ◽  
Per Capita ◽  
Urban And Rural Areas ◽  
N Management

The food nitrogen (N) footprint reflects the amount of reactive N emission and its impact on the environment as a result of food production and consumption to satisfy the basic food demands of an urban population. The N-Calculator model was used to estimate the food N footprint and its dynamic changes in Shanghai from 2000 to 2017, and the auto regressive integrated moving average (ARIMA) time series model was used to predict the food N footprint in Shanghai from 2018 to 2027. The results show that the food N footprint was higher in urban areas (15.3–18.8 kg N/capita/yr) than rural areas (12.6–17.4 kg N/capita/yr) of Shanghai from 2000 to 2017. The change in the food N footprint was consistent with changes in food consumption in urban and rural areas, and the total food N footprint of urban and rural residents was positively correlated with the per capita disposable income and population whereas it was negatively correlated with the Engel’s Coefficient and price index. It was predicted that the per capita food N footprint will gradually decrease in 2018–2027 in urban areas of Shanghai, but it will generally increase in the rural areas. This study will help to initiate policy interventions for sustainable N management and contribute to the achievement of key sustainable development goals (SDGs).

scholarly journals Source of Inequality in Consumption Expenditure in India: A Regression Based Inequality Decomposition Analysis

2018 ◽  
pp. 1-34
Author(s):  
Sabyasachi Tripathi
Keyword(s):  
Rural Areas ◽  
Decomposition Analysis ◽  
Consumption Expenditure ◽  
Dwelling Unit ◽  
Inequality Decomposition ◽  
Level Of Education ◽  
Capita Expenditure ◽  
Per Capita ◽  
Urban And Rural Areas ◽  
Total Inequality

The present paper estimates the Regression based inequality decomposition for the years 2004-05 and 2011-12.The decomposition based regression analysis finds that household size, level of education, share of workers engaged in less productive jobs (such as, casual labour and agricultural worker), regular salary earning member of a household, higher level of land possessed by the households, and households having hired dwelling unit are responsible for the maximum share of inequality in the total inequality of the average monthly per capita expenditure (MPCE) and predicted MPCE in the both urban and rural areas.

scholarly journals Active Ageing Index in Siberian Regions

2021 ◽  
Vol 17 (1) ◽  
pp. 209-222
Author(s):  
Elena A. Frolova ◽  
Veronika A. Malanina
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Age Groups ◽  
Federal District ◽  
Active Ageing ◽  
Rural Settlements ◽  
Siberian Federal District ◽  
Percentage Points ◽  
Study Results ◽  
Urban And Rural Areas

Considerable inequality among Russian regions is rooted in social and economic disparities, territorial distribution of production and resources, fiscal capacity and ethno-cultural characteristics. Th e Siberia n Federa l Distric t include s regions with pronounced industry and demographic specificity, causing significant differences in the quality of life of the population in different age groups. We assess the parameters of active ageing depending on regional and territorial aspects to develop measures for establishing the active ageing policy, equalising the opportunities for the older generation to lead a productive life after reaching retirement age. We hypothesise that the differences in individual and social conditions shape the activities of older adults in urban and rural settlements. Based on the international methodology of the Active Ageing Index, we assessed the indicators of active ageing for urban and rural areas of the Siberian Federal District. We revealed some shortcomings of the original methodology and suggested relevant proxy indicators, compensating for the lack of data in Russian statistics. The mean Active Ageing Index for the Siberian Federal district is 26.41 for urban and 23.91 for rural areas. The maximum value of the Active Ageing Index among macro-regions of Russia is 32.2 in the Northwestern Federal District; the maximum among European countries is 44.9 in Sweden. The value of employment indicator in urban areas in Siberia exceeds the rural one by 8 percentage points. However, the parameter of participation in society is lower by 3.5 percentage points. In terms of opportunities for active ageing, this indicator is higher by 7 percentage points in urban areas, while values of the indicator of independent and secure living are almost the same in both areas. The study results may be applicable in the development of social policies promoting active ageing among rural population.

scholarly journals Patterns of Alcohol Consumption in the PURE Poland Cohort Study and Their Relationship with Health Problems

2021 ◽  
Vol 18 (8) ◽  
pp. 4185
Author(s):  
Katarzyna Zatońska ◽  
Piotr Psikus ◽  
Alicja Basiak-Rasała ◽  
Zuzanna Stępnicka ◽  
Maria Wołyniec ◽  
...  
Keyword(s):  
Cohort Study ◽  
Alcohol Consumption ◽  
Rural Areas ◽  
Urban Areas ◽  
Level Of Education ◽  
Adult Participants ◽  
Frequent Consumption ◽  
Urban And Rural Areas ◽  
Socio Demographic Factors ◽  
High Level

(1) Background: Alcohol is a leading risk factor of premature morbidity and mortality. The objective of this study was to investigate the patterns of alcohol consumption in the PURE Poland cohort study baseline. (2) Methods: A Polish cohort was enrolled in the baseline study in 2007–2010. The study group consisted of 2021 adult participants of urban and rural areas from the Lower Silesia voivodeship in Poland (747 men and 1274 women). (3) Results: In the overall study population, 67.3% were current drinkers, 10.3% were former drinkers, and 22.4% were abstainers. Current use of alcohol products was more prevalent in men (77.2%), people living in urban areas (73.0%), and people with a higher level of education (78.0%). The percentage of current drinkers decreased with increasing age (from 73.4% in 30- to 44-year-olds to 48.8% in participants aged 64 and more). The majority of participants (89.2%) declared a low level of alcohol intake. The chance of high level of intake of alcohol was four times higher in men than in women (OR 4.17; CI 1.64–10.6). The majority of participants (54.6%) declared most frequent consumption of low-alcohol drinks (beer, wine) and 21% declared most frequent consumption of spirits. Current drinkers had almost 1.5-fold higher odds of diabetes and cardiovascular diseases (CVD) than never drinkers (OR 1.49, CI 1.03–2.17; OR 1.66, CI 1.27–2.18, respectively). Former drinkers had higher odds for hypertension and CVD than never drinkers (1.73, CI 1.05–2.85; OR 1.76, CI 1.22–2.53, respectively). (4) Conclusions: In our cohort study, we observed several socio-demographic factors differentiating the patterns of alcohol consumption. The preventive programs should focus predominantly on men, people aged <45 years, and those with a higher level of education.

The Rural-Urban Continuum of Polarization: Understanding the Geography of the 2018 Midterms

The Forum ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Kenneth M. Johnson ◽  
Dante J. Scala
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Metropolitan Areas ◽  
Political Attitudes ◽  
The United States ◽  
Rural America ◽  
Rural Regions ◽  
Urban America ◽  
Urban And Rural Areas ◽  
The Continuum

Abstract This study of the 2018 congressional midterms demonstrates how voting patterns and political attitudes vary across a spectrum of urban and rural areas in the United States. Rural America is no more a monolith than is urban America. The rural-urban gradient is better represented by a continuum than a dichotomy. This is evident in the voting results in 2018, just as it was in 2016. We found that the political tipping point lies beyond major metropolitan areas, in the suburban counties of smaller metropolitan areas. Democrats enjoyed even greater success in densely populated urban areas in 2018 than in 2016. Residents of these urban areas display distinctive and consistent social and political attitudes across a range of scales. At the other end of the continuum in remote rural areas, Republican candidates continued to command voter support despite the challenging national political environment. Voters in these rural regions expressed social and political attitudes diametrically opposed to their counterparts in large urban cores.

scholarly journals Breastfeeding practice in China from 2013 to 2018: a study from a national dynamic follow-up surveillance

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Leni Kang ◽  
Juan Liang ◽  
Chunhua He ◽  
Lei Miao ◽  
Xiaohong Li ◽  
...  
Keyword(s):  
Psychological Health ◽  
Rural Areas ◽  
Urban Areas ◽  
Child Nutrition ◽  
Central Area ◽  
Mother And Child ◽  
Physical And Psychological Health ◽  
Urban And Rural Areas ◽  
Log Linear ◽  
Breastfeeding Practice

Abstract Background Breastfeeding is important for the physical and psychological health of the mother and child. Basic data on breastfeeding practice in China are out-of-date and vary widely. This study aimed to evaluate the progress of breastfeeding practice in China, as well as to explore the bottlenecks in driving better practice. Methods This was an observational study. We used data from the Under-5 Child Nutrition and Health Surveillance System in China for the period 2013–2018. The prevalence of early initiation of breastfeeding (EIBF) and exclusive breastfeeding (EBF) were calculated for each year for subgroups of China. The Cochran-Armitage test was used to explore the time trends. The annual percent of change (APC) were calculated by log-linear regression followed by exp transformation. Results The prevalence of EIBF increased significantly from 44.57% (95% CI: 44.07, 45.07) in 2013 to 55.84% (95% CI: 55.29, 56.38) in 2018 (Ptrend < 0.001), with an APC of 4.67% (95% CI: 3.51, 5.85). And the prevalence of EBF increased rapidly from 16.14% (95% CI: 15.10, 17.18) to 34.90% (95% CI: 33.54, 36.26) (Ptrend < 0.001), with an APC of 14.90% (95% CI: 9.97, 20.04). Increases were observed in both urban and rural areas, with urban areas showing greater APCs for EIBF (6.05%; 95% CI: 4.22, 7.92 v.s. 2.26%; 95% CI: 1.40, 3.12) and EBF (18.21%; 95% CI: 11.53, 25.29 v.s. 9.43%; 95% CI: 5.52, 13.49). The highest EBF prevalence was observed in the East, but the Central area showed the highest APC. The prevalence of EBF decreased with increasing age within the first 6 months, especially after 3 months. Conclusion The prevalence of both EIBF and EBF in China are improving in recent years. The rural and West China could be the key areas in the future actions. More efforts should be made to protect and promote breastfeeding to achieve near- and long-term goals for child health.

scholarly journals Green and Blue Space Availability and Self-Rated Health among Seniors in China: Evidence from a National Survey

2021 ◽  
Vol 18 (2) ◽  
pp. 545
Author(s):  
Chensong Lin ◽  
Longfeng Wu
Keyword(s):  
Rural Areas ◽  
Urban Areas ◽  
Empirical Studies ◽  
National Level ◽  
The Elderly ◽  
Coverage Ratio ◽  
Self Rated Health ◽  
Health Promoting ◽  
Major River ◽  
Urban And Rural Areas

Many empirical studies have shown evidence of multiple health benefits provided by green and blue spaces. Despite the importance of these spaces, investigations are scarce in details for blue spaces rather than green. Moreover, most research has focused on developed regions. A limited number of studies on blue spaces can be found in China with a focus on the city level. Outcomes have been mixed due to varying research scales, methodologies, and definitions. This study relies on a national-level social survey to explore how the self-rated health (SRH) of senior individuals is associated with local green and blue space availability in urban and rural areas. Results indicate that the coverage ratio of overall green spaces and waterbodies around a resident’s home have marginal effects on SRH status in both urban and rural areas. In urban areas, living close to a park can is marginally beneficial for older people’s health. Regarding different types of blue spaces, the presence of a major river (within 0.3–0.5 km) or coastline (within 1 km and 1–5 km) in the vicinity of home negatively affects SRH among the elderly in urban areas. Close proximity to lakes and other types of waterbodies with a water surface larger than 6.25 ha did not significantly influence SRH. These findings not only evaluate general health impacts of green/blue space development on senior populations across the county but inform decision makers concerning the health-promoting qualities and features of different green/blue spaces to better accommodate an aging population in the era of urbanization.

Influence of community satisfaction with individual happiness: comparative study in semi-urban and rural areas of Tikapur, Nepal

2017 ◽  
Vol 25 (3) ◽  
pp. 22-32 ◽  
Author(s):  
Myung-Bae Park ◽  
Chun-Bae Kim ◽  
Chhabi Ranabhat ◽  
Chang-Soo Kim ◽  
Sei-Jin Chang ◽  
...  
Keyword(s):  
Rural Areas ◽  
Physical Environment ◽  
Urban Areas ◽  
Positive Relationship ◽  
National Level ◽  
Medical Services ◽  
Community Satisfaction ◽  
Critical Factors ◽  
Urban And Rural Areas

Happiness is a subjective indicator of overall living conditions and quality of life. Recently, community- and national-level investigations connecting happiness and community satisfaction were conducted. This study investigated the effects of community satisfaction on happiness in Nepal. A factor analysis was employed to examine 24 items that are used to measure community satisfaction, and a multiple regression analysis was conducted to investigate the effects of these factors on happiness. In semi-urban areas, sanitation showed a positive relationship with happiness. In rural areas, edu-medical services were negatively related to happiness, while agriculture was positively related. Gender and perceived health were closely associated with happiness in rural areas. Both happiness and satisfaction are subjective concepts, and are perceived differently depending on the socio-physical environment and personal needs. Sanitation, agriculture (food) and edu-medical services were critical factors that affected happiness; however, the results of this study cannot be generalized to high-income countries.

Sign in / Sign up

Export Citation Format

Share Document