scholarly journals Determinan perempuan bekerja di Jawa Barat

2021 ◽  
Vol 16 (1) ◽  
pp. 55
Author(s):  
Karina Damayanti
Keyword(s):  
Labor Force ◽  
Capita Expenditure ◽  
Women's Participation ◽  
Primary Determinant ◽  
Individual Household ◽  
Household Members ◽  
Per Capita ◽  
The Individual ◽  
Status Of Women

This study aims to determine the characteristics of female labor force, women’s main employment, and the individual and contextual factors that influence those two situations in West Java Province. The data sources used for this study are National Social-Economic Survey on March 2018 as well as publications on Gross Domestic Product (GDP) and Statistics of Education. This study applies three-levels binary logistics (individual, household, and city/regency) for data analysis. The independent variables that significantly affects women’s employment status are age, education, marital status, household per capita expenditure, number of non-productive household members, household members, sex ratio, residence status, GDP per capita, agricultural contribution to GDP, and mean years schooling. However, access to information does not significantly influence the working status of women. This paper indicates that education is the primary determinant factor in regard to women’s participation in labor force. Education is suggested to improve women’s skills and knowledge that resulted in the advancement of the quality of female labors. 

scholarly journals FAKTOR INDIVIDUAL DAN KONTEKSTUAL PADA MIGRASI RISEN DI INDONESIA: ANALISIS DATA SURVEI PENDUDUK ANTAR SENSUS 2015

2021 ◽  
Vol 15 (2) ◽  
pp. 183
Author(s):  
Bety Atmani M ◽  
Agus Joko Pitoyo ◽  
Abdur Rofi
Keyword(s):  
Human Development Index ◽  
Population Survey ◽  
Binary Logistic Regression ◽  
Education Level ◽  
Gdp Per Capita ◽  
Work Status ◽  
Individual Household ◽  
Household Members ◽  
Per Capita ◽  
The Individual

Migration is a complex phenomenon influenced by various factors, including individual, household and contextual factors. The purpose of this study is to determine the factors that influence the decision to migrate, both at the individual and contextual level. The data used are the 2015 Intercensal Population Survey and official statistics of Indonesia published by Badan Pusat Statistik (BPS). The analytical method used is a multilevel binary logistic regression. The analysis results show that age, marital status, education level, work status, education level of the head of the household, number of household members, homeownership, and area of residence affect the decision to migrate among residents aged 15 years and older. Migrants tend to go to regions with higher Gross Domestic Product (GDP) per capita, provincial minimum wage, and Human Development Index (HDI), and lower unemployment rate.

scholarly journals The Measurement of Food Insecurity in High-Income Countries: A Scoping Review

2021 ◽  
Vol 18 (18) ◽  
pp. 9829
Author(s):  
Elena Carrillo-Álvarez ◽  
Blanca Salinas-Roca ◽  
Lluís Costa-Tutusaus ◽  
Raimon Milà-Villarroel ◽  
Nithya Shankar Krishnan
Keyword(s):  
Food Insecurity ◽  
Scoping Review ◽  
Grey Literature ◽  
High Income ◽  
Methodological Framework ◽  
Household Level ◽  
Individual Household ◽  
The Individual ◽  
Measurement Strategies

The measurement of food insecurity is essential to monitor the prevalence, risk factors, consequences and effects of food insecurity and the interventions and policies implemented to tackle it. Yet, how best to apply it remains an unsettled issue due to the multifaceted and context-dependent nature of food insecurity. We report a scoping review of measures of food insecurity at the individual and household level in high-income countries with the final purpose of facilitating a catalogue of instruments to be used by both researchers and practitioners. The scoping review was conducted following the methodological framework of Arksey and O’Malley and the Joanna Briggs Institute guidelines. We included all types of documents published between 2000–2020 using instruments that estimate food insecurity at both individual and household level in high-income countries, and with respondents including adolescents, adults, and elderly. We identified a total of 23 measurement strategies being used in 33 peer-reviewed publications and 114 documents from the grey literature. Our results show that most measures focus on the access dimension of food insecurity and that further research is required to develop measures that incorporate aspects of quality of dietary intake and relevant individual, household and social conditions related to food insecurity.

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 The Linkage of Employment to Poverty in Central Java at 2010-2017

2020 ◽  
Vol 9 (2) ◽  
pp. 195-206
Author(s):  
Sartika Andari Murti ◽  
Robert Kurniawan
Keyword(s):  
Labor Force ◽  
Minimum Wage ◽  
Labor Productivity ◽  
Labor Force Participation ◽  
Average Length ◽  
Spatial Error ◽  
Capita Expenditure ◽  
Central Java ◽  
Per Capita ◽  
The Relationship

In 2017, Central Java was the second largest contributor to the GDP in Java but still has poverty and employment problems. In this research, wellbeing can approach with per capita expenditure. Empirically per capita expenditure has spatial relevance. This study aims to determine the relationship between employment indicators and the spending spatially in Central Java. The variables used are expenditure, labor force participation, labor productivity, minimum wage of regency/city, and the average length of the school. The analytical method used to determine the relationship is spatial panel regression with the Spatial Error Model fixed effect. The results obtained are labor force participation, labor productivity, minimum wage of regency/city, and the average length of the school, and spatial error dependencies have a significant positive effect on expenditure. Suggestions proposed are to increase employment through investments, especially in education, and to increase cooperation between regencies/cities in poverty alleviation efforts.JEL Classification: E2, E22, I3, I32, I38, J2, J21, J23.How to Cite:Murti, S. A., & Kurniawan, R. (2020). The Linkage of Employment to Poverty in Central Java. Signifikan: Jurnal Ilmu Ekonomi, 9(2), 195-206. https:// doi.org/10.15408/sjie.v9i2.14466.

scholarly journals Restaurants and hotels expenditure in Polish households of the elderly

2016 ◽  
Vol 8 (1) ◽  
pp. 80-90 ◽  
Author(s):  
Marlena Piekut
Keyword(s):  
The Elderly ◽  
Factors Affecting ◽  
The People ◽  
The Family ◽  
Central Statistical ◽  
Central Statistical Office ◽  
Household Members ◽  
Per Capita ◽  
Source Of Information

Abstract The age of household members is an important factor for expenditures. The aim of the study is to investigate the level of expenditure on restaurants and hotels incurred in Polish households of the elderly in 2004-2013 and to identify the factors affecting such expenditures. The source of information used in the study was the household budget survey of the Central Statistical Office of Poland. The main methods used in this study were variance analysis and regression analysis. Restaurants and hotels expenditure increases every year together with their share in total household expenditure. The most important factors affecting the restaurants and hotels spending in Polish households of the elderly are: income per capita and the level of education of the head of the family. The study on consumption determinants at different groups leads to better understanding of consumer behavior circumstances and thereby ensuring a good quality of life for the people of the elderly.

scholarly journals Pengaruh Ketahanan Pangan terhadap Rata-Rata Pengeluaran Masyarakat di Jawa Tengah

2021 ◽  
Vol 21 (1) ◽  
pp. 96
Author(s):  
Anandhiya Anandhiya ◽  
Agus Arifin ◽  
Istiqomah Istiqomah
Keyword(s):  
Food Security ◽  
Rice Production ◽  
Income Per Capita ◽  
Capita Expenditure ◽  
Central Java ◽  
The Family ◽  
Development Goals ◽  
Per Capita ◽  
Central Java Province

Food security is included in the second Sustainable Development Goals (SDGs), namely to overcome poverty, improve quality of life and regional development. This study aims to analyze the effect of population, income  per capita, rice production and poverty on the average per capita expenditure in Central Java Province in 2015-2019. The research method uses multiple linear regression with the penel data model. The results showed that the population and rice production had a significant effect on the average per capita expenditure in Central Java Province in 2015-2019. Meanwhile, income per capita and poverty not significant effect on average per capita expenditure in Central Java Province in 2015-2019.. The implication of government policy is to maintain food security in Indonesia and be able to reduce the population by streamlining the family planning program. 

Determinants of Investment by the Norwegian Sovereign Wealth Fund: GDP vs. Institutions

2011 ◽  
Vol 11 (1) ◽  
pp. 1850218 ◽  
Author(s):  
Mehmet Caner ◽  
Turanay Caner ◽  
Thomas J. Grennes
Keyword(s):  
Capital Flows ◽  
Institutional Quality ◽  
Institutional Investor ◽  
International Capital ◽  
Sovereign Wealth Fund ◽  
Quality Of Institutions ◽  
Primary Determinant ◽  
Per Capita ◽  
Analyze Data

During the current episode of globalization, capital has flown primarily to high income countries. Attempts to explain this “Lucas Paradox” have focused on the quality of institutions. We analyze data from a major institutional investor, the Norwegian Sovereign Wealth Fund, to estimate the separate effects of income per capita and institutional quality on international capital flows. After controlling for institutional quality, GDP per capita remains the primary determinant of investment.

Assessing the Effect of Gender Equality before the Law on Female Labor Participation and GDP per capita in Central America Panama and the Dominican Republic

2021 ◽  
Author(s):  
Carlos Vladimir Rodríguez Caballero ◽  
Arnoldo López - Marmolejo
Keyword(s):  
Labor Market ◽  
Dominican Republic ◽  
Labor Force ◽  
Gender Equality ◽  
Central America ◽  
Gdp Per Capita ◽  
Female Labor ◽  
Women's Participation ◽  
Per Capita ◽  
The Law

Women's participation in the labor market in Central America is low for the international standard. Increase such participation is on the agenda of many policymakers who want to improve women's access to quality employment. In this paper, we use data from Central America, Panama, and the Dominican Republic to assess whether gender equality in the law helps increasing women's participation in the labor force and, therefore, boosts GDP per capita. The study is based on two econometric methodologies to evaluate distinct aspects of the economic mechanism.

scholarly journals Determinants of Stunted Children in Indonesia: A Multilevel Analysis at the Individual, Household, and Community Levels

2020 ◽  
Vol 15 (1) ◽  
pp. 48
Author(s):  
Febri Wicaksono ◽  
Titik Harsanti
Keyword(s):  
Sample Population ◽  
Slum Area ◽  
Individual Level ◽  
Research Survey ◽  
Professional Health ◽  
Individual Household ◽  
Multi Level ◽  
Per Capita ◽  
The Individual ◽  
Childhood Stunting

This study aimed to examine the risk factors of childhood undernutrition in Indonesia. Determinants of childhood stunting were examined by using the 2013Indonesia Basic Health Research Survey dataset. A total of 76,165 children aged under 5 years were included in this study. The analysis used multivariatemultilevel logistic regression to determine adjusted odds ratios (aORs). The prevalence of stunting in the sample population was 36.7%. The odds of stunting increased significantly among the under-five boys, children living in slum area, and the increase of household member (aOR = 1.11, 95 %CI: 1.06–1.15; 1.09, 95%CI: 1.04–1.15; and 1.03, 95%CI: 1.02–1.04 respectively). The odds of stunting decreased significantly among children whose parents more educated (aOR = 0.87, 95 %CI: 0.83–0.91 and 0.87, 95%CI: 0.83–0.9, respectively), who live in urban area, in a province with higher Gross Domestic Product (GDP) per capita, and in a province with higher ratio of professional health worker per 1,000 population aged 0-4 years (aOR = 0.85, 95%CI: 0.81–0.89; 0.89; 95%CI: 0.79–1.00; and 0.99; 95%CI: 0.99–1.00, respectively). The study found that stunting was resulted from a complex interaction of factors, not only at the individual level, but also at household and community levels. The study findings indicate that interventions should implement multi-level approaches to address various factors from the community to the individual level.

scholarly journals Development of Multifactor Index for Assessing Quality of Life of a Tribal Population of India: Multilevel Analysis Approach

2020 ◽  
Author(s):  
Bagavandas m
Keyword(s):  
Quality Of Life ◽  
Infrastructure Development ◽  
Tribal Population ◽  
Key Factors ◽  
Policy Makers ◽  
Multilevel Factor Analysis ◽  
The Social ◽  
Individual Household ◽  
The Individual

Abstract BackgroundThe main objective of this study is to develop multilevel multi-factor index to assess the quality of life of Malayali tribal population of India at the individual and village levels based on nine domains, namely, Demography, Economy, Health, Human Development, Infrastructure Development, Work Participation, Recreation, Social Capital and Self Perception. Also, an attempt is made to classify the individuals as well as villages on the basis of the overall scores of multifactor index within a community which will help policy makers to develop concrete policy recommendations for the improvement of quality of life of this tribal group.MethodMultilevel factor analysis is utilized to determine uncorrelated meaningful factors and their respective weights using Mplus software from the nested dataset consists of values of nine domains of 1096 individuals collected from 19 villages. Multilevel multifactor index is constructed using the weights of these factors. The qualities of lives of different households and of different villages are assessed using the scores of this index.ResultsThree different factors are identified at household as well as village levels. The quality of life at Households and at villages levels are classified as poor, low, moderate, good and excellent based on five quintiles of the scores of the multifactor index and the contribution of each domain in this classification is ascertained.DiscussionThis study finds that at household as well as at village levels, the quality of life of the individuals of this tribal population increases with increase in education, income and occupation status which make them to lead a healthy life and also make them to find time and money to spend on recreation. Infrastructure does not play a significant role at the house hold level whereas it is a matter at village level. ConclusionThe main purpose of developing this kind of multifactor index at different levels is to provide a tool for tribal development based on realistic data which can be used to monitor the key factors that encompass the social, health, environmental and economic dimensions of quality of lives at the individual/household and community levels of this tribal people.

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