scholarly journals ANALISIS DETERMINAN KESEJAHTERAAN ANAK DI INDONESIA

2019 ◽  
Vol 1 (2) ◽  
pp. 589
Author(s):  
Rilla Mariska ◽  
Dewi Zaini Putri
Keyword(s):  
Child Welfare ◽  
Income Distribution ◽  
Health Sector ◽  
Secondary Data ◽  
Least Square ◽  
Literacy Rate ◽  
Income Per Capita ◽  
Library Studies ◽  
Per Capita ◽  
Female Literacy

This study aims to find out determine of child welfare in Indonesia by using Composite Children Welfare Index. The data used are secondary data in the form of cross section in 2015, with documentation data collection techniques and library studies obtained from relevant institutions and agencies. The variables used are Child Welfare, Income per capita, Income Distribution, Female Literacy Rate, Goverment Expenditure in education and health sector. The research methods used are: (1) Ordinary Least Square (OLS) Analysis, (2) Classical Assumption Test. The results of the study show that (1) Income per capita is positive and not significant on the child welfare in Indonesia. (2) Income distribustion is positive and significant on the child welfare in Indonesia. (3) Female Literacy Rate is positive and significant on the child welfare in Indonesia. (4) Goverment expenditure in education sector is negative and not significant on the child welfare in Indonesia(5) Goverment expenditure in health sector is negative and not significant on the child welfare in Indonesia(5) Income per capita, distribution income, female literacy rate, and goverment expenditure in eduacation and health statistically significant on the child welfare. So, only income distribution and female rate literacy is significant on the child welfare.

scholarly journals ANALISIS PENGARUH SOSIAL EKONOMI TERHADAP PENGELOLAAN SAMPAH DI SUMATERA BARAT (STUDI KASUS DAERAH PERKOTAAN)

2020 ◽  
Vol 2 (1) ◽  
pp. 107
Author(s):  
Nesyana Dewi ◽  
Melti Roza Adry
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Waste Management ◽  
Cross Section ◽  
Urban Areas ◽  
Secondary Data ◽  
Cross Section Data ◽  
Income Per Capita ◽  
Section Data ◽  
Per Capita

This study aims to determine the effect of education, income per capita, age and knowledge on waste management in urban areas West Sumatera. This study uses secondary data in the form of cross section data of urban West Sumatera. Data obtained from BPS- Susenas West Sumatera. This study uses logistic regression analysis. The result of this study indicate that (1) education has not significant effect on waste management in urban areas West Sumatera (2) income per capita has not significant effect on waste management  in urban areas West Sumatera (3) age has not significant effect on waste management in urban areas West Sumatera (4) knowledge has a significant effect on waste management in urban areas West Sumatera

scholarly journals ANALISIS PERTUMBUHAN EKONOMI DAN KETIMPANGAN DISTRIBUSI PENDAPATAN PROVINSI BALI

2020 ◽  
Vol 3 (2) ◽  
pp. 335-344
Author(s):  
Rendi Kurniawan ◽  
Syamsul Huda
Keyword(s):  
Income Distribution ◽  
Calculation Result ◽  
Capita Income ◽  
Secondary Data ◽  
Strong Relationship ◽  
Kuznets Curve ◽  
Per Capita ◽  
Typology Analysis ◽  
The Relationship ◽  
Index Calculation

This study aims to determine the Regency / City Classification in Bali Province based on the Klassen Typology, the condition of income distribution inequality between districts / cities, the relationship between income distribution inequality with per capita income, and whether the relationship forms the U-Reverse Kuznets Curve. This research is an analysis of secondary data obtained from BPS Bali Province. The analytical model used is Klassen Typology analysis, Williamson Index, Product Moment Correlation (Pearson). Klassen's Typology Results, Badung Regency and Denpasar City are included in Quadrant I area, Gianyar Regency is included in Quadrant III area, and the remaining 6 Regencies are included in Quadrant IV area. Furthermore, the Williamson Index Calculation in the Year of Observation shows that there is an imbalance in the Province of Bali which shows a downward trend. While the calculation result of Product Moment Correlation (Pearson) shows a very strong relationship between the Williamson Index and the Per capita GRDP and is negative, but the relationship does not form the Kuznets Curve to be a U-Reverse letter.

scholarly journals PENGARUH KETIMPANGAN PENDAPATAN, PENDAPATAN PER KAPITA, DAN PENGELUARAN PEMERINTAH DI BIDANG KESEHATAN TERHADAP SEKTOR KESEHATAN DI INDONESIA

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Uswatun Hasanah
Keyword(s):  
Income Inequality ◽  
Capita Income ◽  
Health Effect ◽  
Government Expenditure ◽  
Health Sector ◽  
Research Area ◽  
External Factors ◽  
Per Capita Income ◽  
Income Per Capita ◽  
Per Capita

AbstractHuman resource is one of capital importance in the development of a nation. One of the important aspects that affect human resources are a public health level, where health sector has an important role. The status of one's health is the result of the interaction of various factors, namely internal and external factors. Internal factors consist of physical and psychological factors, while external factors consist of economic factors, education, environment and cultureThis research aims to examine and analyze the effect of income inequality as measured by the Gini Ratio against the health sector as measured by life expectancy in Indonesia in 2005-2013. On the research of regression equation using data panels with Random Effects Model approach. The results of this research is the inequality of income, per capita income, and Government expenditure in the health effect simultaneously against health sector in Indonesia in 2005-2013 and is partial, inequality of income, per capita income, and Government expenditure in the health sector impact health sector in Indonesia in 2005-2013. Keywords : Health sector, income inequality, income per capita, Government expenditure in health sector. Research Area: Indonesia

scholarly journals ANALISIS KETERKAITAN ANTARA INDEKS PEMBANGUNAN MANUSIA DAN PDRB PER KAPITA DI INDONESIA

2018 ◽  
Vol 2 (1) ◽  
pp. 14-29
Author(s):  
Ryan Ezkirianto ◽  
Muhammad Findi Alexandi
Keyword(s):  
Economic Growth ◽  
Income Distribution ◽  
Human Development ◽  
Government Spending ◽  
Government Expenditure ◽  
Least Square ◽  
Development Economic ◽  
Strong Positive Relationship ◽  
Per Capita ◽  
Total Government Expenditure

This paper attempts to analyse the two-way relationship between human development and economic growth for 33 provinces in Indonesia during six years period: 2006–2011. The various links in each variabel were analyzed with description analysis, such education, government spending on health and education, total government expenditure, income distribution, and density. The quantitatif analysis used two-stage least square (2SLS) method.  The result shows that there is a strong positive relationship between human development index and GDRP per capita, while education, government spending on health and education, total government expenditure, and income distribution are the important links determining the strength of relationship between human development and economic growth. Keywords: human development, economic growth

scholarly journals ANALISIS PERMINTAAN TELUR DI KABUPATEN SLEMAN (Analysis of Egg Demand in Sleman District)

2010 ◽  
Vol 9 (2) ◽  
pp. 197-209
Author(s):  
Ani Suryani
Keyword(s):  
Time Series Data ◽  
Descriptive Analysis ◽  
Multiple Regression Model ◽  
Least Square ◽  
Series Data ◽  
Factors Affecting ◽  
Ordinary Least Square ◽  
Income Per Capita ◽  
Egg Consumption ◽  
Per Capita

The objectives of this research are to determine factors affecting egg demand during the period of 1991 to 2007, and to examine the prospect of egg as inferior, normal or superior commodity in Sleman District. The research location is determined purposively. The method used in this research is descriptive analysis with time series data (1991-2007). This study uses demand function approach by applying multiple regression model estimated using OLS (ordinary least square).The result of estimation shows that the partial demand of egg in Sleman District is caused by the price of fish, rice, population, income per capita and economical crisis. The elasticity of egg demand toward price elasticity is inelastic in the scale of 0.59. Egg in this district is categorized as a normal goo. This conclusion is based on finding that income per capita is positively correlated toward egg demand with the coefficient of regressionof 0.36. Egg consumption at Sleman district from time to time tends to increase coinciding with the growth of income per capita.Key words : Demand, Egg, Elasticity, Forecasting, Normal Good. 

scholarly journals ANALISA PEMBANGUNAN MANUSIA DAN PENGARUHNYA TERHADAP KESEJAHTERAAN MASYARAKAT DI PROVINSI PAPUA

2020 ◽  
Vol 4 (3) ◽  
Author(s):  
Charley M. Bisai ◽  
Maria Kbarek ◽  
Achmad Riyadi Pajeru
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Secondary Data ◽  
Strong Relationship ◽  
Analysis Techniques ◽  
Income Per Capita ◽  
Correlation And Regression Analysis ◽  
Per Capita ◽  
The Government ◽  
Poverty Levels

Human development in Papua is still a central issue and is a concern of the government at the national and regional levels. If human development is in its actual position, it will have an impact on the welfare of its people. Human development uses the HDI indicator (Human Development Index) while the welfare of the community uses indicators of income per capita and poverty. Some of the objectives to be achieved from this study include to analyze: (1.) the correlation of the forming components with HDI; (2.) what components form the largest HDI; and (3.) the effect of HDI on income per capita, and poverty. This study uses secondary data with the analysis period 2010 - 2018. Data analysis was performed using correlation and regression analysis techniques. The analysis shows that: (1) All components of HDI are positively and significantly related to HDI. The AHH component has a strong relationship, while the other components are very strong. The HLS and RLS components (education index) have the greatest magnitude of the correlation coefficient so they form the dominant HDI compared to AHH and Per capita Expenditures. (2) HDI has a positive and significant effect on per capita income in Papua Province. (3). HDI has a negative and significant effect on poverty levels in Papua Province.

scholarly journals PENGARUH BUNGA DEPOSITO DAN NILAI TUKAR TERHADAP PENDAPATAN PERKAPITA DI INDONESIA (1995-2017)

2019 ◽  
Vol 14 (2) ◽  
Author(s):  
Francisca Sestri Goestjahjanti
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Exchange Rates ◽  
Hypothesis Test ◽  
Secondary Data ◽  
Statistical Technique ◽  
Deposit Rate ◽  
Income Per Capita ◽  
Time Deposit ◽  
Per Capita

The purpose of this study is to analyze and assess the magnitude of simultaneously and partially influence of deposit interest and exchange rates to income per capita in Indonesia. This research used secondary data time series for 23 years since 1995 up to 2017. The study method used explanatory research to explain the causal relationship between the variables in a model through hypothesis test. The analyzes employed statistical technique of linear regression with the software E-Views 7 and SPSS-22.The results of the study showed that these variables time deposit rate and xchange rate are simultaneously and partially give significant effects to income percapita in Indonesia period 1995-2017 Keywords : Time deposit rate, Exchange rate, Income per Capita.

scholarly journals Demand Elasticity Analysis of Islamic Banking Financing in Indonesia

2017 ◽  
Vol 2 (01) ◽  
pp. 61
Author(s):  
Eka Fitriyanti
Keyword(s):  
Secondary Data ◽  
Ordinary Least Squares ◽  
Demand Elasticity ◽  
Islamic Banking ◽  
Regression Equations ◽  
Islamic Banks ◽  
Elasticity Analysis ◽  
Income Per Capita ◽  
Elasticity Of Demand ◽  
Per Capita

<p>This research aims to analyze the elasticity of demand for Islamic bank's financing in Indonesia. The variables observed in this study is inflation and income per capita. This research uses time series of data for the period 2004-2015, which is a secondary data. The Data is sourced from the central bank of Indonesia and Indonesian Central Bureau of Statistics, the models used in this study is a model of multiple regression equations and Analyzed using Ordinary Least Squares (OLS). Based on the estimates, the Research found that the inflation and income per capita significantly influence elasticity of demand for Islamic bank's financing in Indonesia. The elasticity of demand for Islamic bank's financing is inelastic to changes in price. This means that the demand Islamic bank's financing in Indonesia are not sensitive to changes in price. So, Islamic banks must be-able using other factors for growth Reviews their financing.</p><p><br />Keywords: Elasticity of Demand, Income per Capita, Inflation, Islamic bank’s financing</p>

scholarly journals Density of in-vitro fertilization centers and its correlation with socioeconomic factors in Maharashtra state, India

2018 ◽  
Vol 6 (1) ◽  
pp. 342
Author(s):  
Prakash Prabhakarrao Doke ◽  
Daya Krishan Mangal ◽  
Anuja Gulati
Keyword(s):  
In Vitro Fertilization ◽  
Sex Ratio ◽  
Gender Discrimination ◽  
Secondary Data ◽  
Treatment Center ◽  
Sex Ratio At Birth ◽  
Vitro Fertilization ◽  
Per Capita ◽  
Female Literacy

Background: The infertility due to various reasons is increasing and correspondingly the number in vitro fertilization (IVF) centers is also increasing. Some procedures in these centers can deliver desired sex of the unborn child. The gender discrimination in India has already resulted unfavorable child sex ratio for girls. Maharashtra is one of the badly affected states. It is feared that the child sex ratio may further decline due to IVF centers. The study was carried out to measure correlation between number of IVF centers with various indicators of sex ratio infertility, and some socio-economic factors.Methods: The study was conducted in 2014 using secondary data. District wise internet search by using words ‘In-Vitro Fertilization center’ and ‘infertility treatment center’ was carried out. Whenever IVF center/procedure was noticed on the internet, the center with its address was included in that district list.Results: There was positive correlation between IVF centers and urbanization, per capita income, female literacy and negative correlation with population sex ratio and no correlation with sex ratio at birth or child sex ratio. The best correlation was observed with urbanization, which explains the observed correlation with other variables.Conclusions: The number of IVF centers is not related with magnitude of infertility and not affecting sex ratio whereas IVF density seems to be an outcome of extent of urbanization.

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