Faktor-faktor Yang Mempengaruhi AHH Provinsi Bali

The degree of public health can be measured by looking at the amount of Life Expectancy (AHH). AHH is the result of calculating projections often used as one of the People's Welfare Indicators (IKR). Assuming a declining trend in infant mortality rates (IMR) and changes in the population's age composition, the objectives in this study are: 1) to analyze the effect of income per capita, government spending in education, and health simultaneously affect life expectancy in Bali Province / City in the 2011-2017 period and 2) to analyze the effect of per capita income, government spending the education and health sector influences the life expectancy in the Regency / City of Bali Province in the 2011-2017 period. The data used in this study is secondary data in 2011-2017. This study uses Multiple Linear Regression analysis techniques used to process classical assumption test data using Eviews 9. The results of this study stated that the variable income per capita (X1), government expenditure in education (X2), and government expenditure in health (X3) simultaneously affected the life expectancy (Y) in districts/cities in Bali Province. Partially per capita income has a positive and significant impact on life expectancy. Government expenditure in education and government expenditure in health does not affect life expectancy in Bali Province districts/cities.

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

Jurnal Ilmu Ekonomi Terapan ◽

10.20473/jiet.v2i1.5504 ◽

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

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Pengaruh Belanja Pemerintah Terhadap Pendapatan Perkapita Indonesia

JURNAL EKONOMIKA INDONESIA ◽

10.29103/ekonomika.v9i2.3178 ◽

2020 ◽

Vol 9 (2) ◽

pp. 1

Author(s):

Jamaludin Jamaludin ◽

Hijri Juliansyah

Keyword(s):

Government Spending ◽

Capita Income ◽

Time Series Data ◽

Health Sector ◽

Series Data ◽

Per Capita Income ◽

Education And Health ◽

Short And Long Term ◽

Per Capita ◽

The Republic

This study was conducted to determine the effect of government spending on the education and health sectors on Indonesia's per capita income. The data used in this study are time series data from 1990- 2018 obtained from the website of the Ministry of Finance of the Republic of Indonesia and the Indonesian Central Bureau of Statistics (BPS). The data are then analyzed using dynamic analysis of the ARDL model. The results showed that government spending in the education sector had no effect on Indonesia's per capita income for the 1990-2018 period, both in the long and short term. Government spending in the health sector affects Indonesia's per capita income for the 1990-2018 period in the short and long term

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Pengaruh Fundamental Ekonomi Daerah dalam Pembangunan Ekonomi di Kota Sungai Penuh Tahun 2010-2015

Eksis: Jurnal Ilmiah Ekonomi dan Bisnis ◽

10.33087/eksis.v9i1.128 ◽

2018 ◽

Vol 9 (1) ◽

pp. 9

Author(s):

Silvia Rahayu

Keyword(s):

Economic Growth ◽

Economic Development ◽

Regression Analysis ◽

Capita Income ◽

Linear Regression Analysis ◽

Per Capita Income ◽

Regional Economic ◽

Income Per Capita ◽

Economic Fundamentals ◽

Per Capita

This research has a purpose to know to know the influence of economic growth, income per capita and HDI to economic development in Sungai Penuh City either simultaneously or partially and to know how relation of bamboo handicraft production development seen from aspect of labor, raw material and capital to effort of poverty Poverty in Siulak Subdistrict Based on the results of analysis using multiple linear regression analysis obtained results: 1. Regional economic fundamentals consisting of economic growth, income per capita and HDI have a significant influence on economic development either simultaneously or partially. The amount of influence of regional economic fundamentals on economic development is as follows: a. Simultaneously, F value counted 529,104 while F table (α = 0.05; db regression = 4: db residual = 2) was 19.25. Because F arithmetic> F table is 529,104> 19,25 then regression analysis is significant. This means that H0 is rejected and H1 accepted so it can be concluded that economic development in Kota Sungai Penuh 2010-2015 can be significantly influenced by free variable of regional economic fundamentals that is economic growth variable, income per capita and HDI. B. Partially, t arithmetic X1 (economic growth) = 4.836 and t table of 2.920. Because t arithmetic> t table is 4.836> 2.920 and from the table obtained a significance value of 0.008, then the influence of X1 (economic growth) is significant. This means that H0 is rejected and H1 accepted, so it can be concluded that economic development in Kota Sungai Penuh can be significantly influenced by real economic growth variable. From the coefficient value is known that economic growth has an effect of 0.139% on economic development. T arithmetic X2 (income per capita) = 6,813 and t table is equal to 2,920. Because t arithmetic> t table is 6.813> 2.920 and from the table obtained value of significance 0.019, then the influence of X2 (income per capita) is significant. This means that H0 is rejected and H1 is accepted, so it can be concluded that economic development in Kota Sungai Penuh can be significantly influenced by per capita income variable significantly. From the coefficient value is known that income per capita have influence equal to 0,886% to economic development. T arithmetic X3 (IPM) = 6.602 and t table of 2.920. Because t arithmetic> t table is 6.602> 2.920 and from the table obtained value of significance 0.027, then the influence of X3 (HDI) is significant. This means that H0 is rejected and H1 accepted, so it can be concluded that economic development in Kota Sungai Penuh can be significantly influenced by real HDI variable. From the coefficient value is known that the HDI has an effect of 2.366% of economic development. Keywords : Economic Growth, Per Capita Income, HDI

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Determinan Kualitas Pembangunan Manusia di Kabupaten/Kota Provinsi Jawa Tengah

Economics Development Analysis Journal ◽

10.15294/edaj.v5i3.22149 ◽

2018 ◽

Vol 5 (3) ◽

pp. 269-277

Author(s):

Agung Yudhi Pramono ◽

Etty Soesilowati

Keyword(s):

Local Government ◽

Capita Income ◽

Government Expenditure ◽

Health Sector ◽

Least Square ◽

Dependency Ratio ◽

Per Capita Income ◽

Central Java ◽

Per Capita ◽

Local Government Expenditure

Penelitian ini bertujuan untuk menganalisis seberapa besar pengaruh pengeluaran pemerintah daerah sektor pendidikan, pengeluaran pemerintah daerah sektor kesehatan, rasio ketergantungan penduduk dan pendapatan perkapita terhadap pembangunan manusia yang diukur dengan IPM. Populasi penelitian terdiri dari 35 Kabupaten/Kota di Provinsi Jawa Tengah, menggunakan data sekunder dari Badan Pusat Statistik Provinsi Jawa Tengah dan Biro Keuangan Sekretaris Daerah Provinsi Jawa Tengah dalam periode 2009 sampai 2013. Variabel penelitian ini indeks pembangunan manusia, pengeluran pemerintah daerah sektor pendidikan, pengeluaran pemerintah daerah sektor kesehatan, rasio ketergantungan penduduk, dan pendapatan perkapita. Dalam penelitian ini, digunakan metode penelitian kuantitatif dengan menggunakan analisis regresi data panel model efek tetap (FEM) dengan metode Generalized Least Square (GLS). Hasil penelitian ini dapat diketahui bahwa pengeluaran pemerintah daerah sektor pendidikan berpengaruh positif dan signifikan terhadap IPM, pengeluaran pemerintah daerah sektor kesehatan berpengaruh positif dan signifikan terhadap IPM, rasio ketergantungan penduduk berpengaruh negatif dan signifikan terhadap IPM, sementara pendapatan perkapita tidak berpengaruh secara signifikan terhadap IPM. This research has purpose to analyze how much influence of the local government expenditure in educational sector, local government expenditure in health sector, dependency ratio, and per capita income of a human development measured by HDI. the population of this research consists of 35 regionals in Central Java and region bureau money secretary of Central Java province among 2009 and 2013 period. the variables used in this research are HDI, local government expenditure in educational sector, local government expenditure in health sector, dependency ratio, and per capita income. in this research, quantitative and regression analysis of Fixed Effect Model is used as well as Generalized Least Square method (GLS). The results of this research are the outcome of regional government in educational and health sector influence significance and positively to the HDI, dependency ratio significance and negatively influence to the HDI, while per capita income does not influence significance to the HDI.

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Government Expenditure and Poverty Reduction in Nigeria

Journal of Economics and Public Finance ◽

10.22158/jepf.v4n2p156 ◽

2018 ◽

Vol 4 (2) ◽

pp. 156 ◽

Cited By ~ 1

Author(s):

Victor E. Oriavwote ◽

Andrew Ukawe

Keyword(s):

Granger Causality ◽

Government Spending ◽

Capita Income ◽

Poverty Reduction ◽

Positive Impact ◽

Government Expenditure ◽

Per Capita Income ◽

Poverty Level ◽

Causality Test ◽

Per Capita

<p><em>This research investigates the relevance of government expenditure on poverty reduction in Nigeria. The main objective is thus to investigate whether the poverty reduction efforts through government spending has actually translated into a reduction in the poverty level. The study covered the period between 1980 and 2016. The ECM model and cointegration models of the OLS as well as the granger causality techniques were used to analyze the data. The result of the ADF unit root test indicates that all the variables are I(1). The result of the Johansen cointegration indicates the existence of a long run equilibrium relationship among the variables. The result of the parsimonious ECM indicates that though the one period lag government expenditure on health has a significant and positive impact on the per capita income, it has a low elasticity. The result indicates further that government expenditure on education has a significant and positive impact on the per capita income. The result indicates further that government expenditure on building and construction has a significant and positive impact on the per capita income, the elasticity is however very low. The granger causality test result indicates no causality between government expenditure on health and education. A bicausal relationship however exists between government expenditure on education and per capita income. The result shows no causality between government expenditure on building and construction and the per capita income. The result recommends amongst others an increment and proper monitoring of government spending which could be enhanced through public private partnership.</em></p>

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ANALISIS PERMINTAAN KEDELAI DI INDONESIA

SEPA Jurnal Sosial Ekonomi Pertanian dan Agribisnis ◽

10.20961/sepa.v12i1.14198 ◽

2017 ◽

Vol 12 (1) ◽

pp. 42

Author(s):

Septi Rostika Anjani ◽

Dwidjono Hadi Darwanto ◽

Jangkung Handoyo Mulyo

Keyword(s):

Regression Analysis ◽

Capita Income ◽

Income Elasticity ◽

Descriptive Analysis ◽

Linear Regression Analysis ◽

Secondary Data ◽

Per Capita Income ◽

Elasticity Of Demand ◽

Per Capita ◽

Income Elasticity Of Demand

This study aims to analyze the factors that influence the demand of soybean in Indonesia. The research method uses descriptive analysis of secondary data which includes the price of imported soybeans, the price of chicken, per capita income, the rate of inflation and import tariff policy year period 1980-2013 which sourced from FAO and other sources. Estimation of demand function using multiple linear regression analysis were transformed in the form of natural logarithm. Regression analysis showed that soybean demand in Indonesia was influenced partially by prices of chicken, per capita income, and the rate of inflation. The price elasticity of demand of soybean in Indonesia is inelastic, that is equal 0,22. While the income elasticity of demand for soybeans is positive which means that soy is a staple item for the Indonesian people.

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The Influence Of Mother’s Motivation And Preferences On Fish Consumption Behavior In Rural And Urban Families

Journal of Consumer Sciences ◽

10.29244/jcs.3.1.39-49 ◽

2018 ◽

Vol 3 (1) ◽

pp. 39 ◽

Cited By ~ 2

Author(s):

Ririn Purnama Sari ◽

Istiqlaliyah Muflikhati

Keyword(s):

Family Size ◽

Fish Consumption ◽

Urban Areas ◽

Capita Income ◽

Linear Regression Analysis ◽

Urban Families ◽

Per Capita Income ◽

Consumption Behavior ◽

Rural And Urban ◽

Per Capita

<pre>The aims of this study is to analyze the differences and the effects of mother’s motivation and preference on behavior of fish consumption in families in rural and urban areas. The research design which used was cross sectional study with purposive location selection in Duwet Village, Pekalongan Regency, and Kandang Panjang, Pekalongan City. The sample in this study is 100 families consisted of 50 families in rural areas and 50 families in urban areas. The results show that urban families prefer fresh sea fish, while rural families prefer pindang fish. The result of multiple linear regression analysis showed that factors affecting the fish consumption behavior of rural family is family size, and per capita income, while fish consumption behavior of urban family influenced by family size, per capita income, and preference.</pre>

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Film Production And Economic Performance: Should South Africa Invest In Movies?

Journal of African Films & Diaspora Studies ◽

10.31920/2516-2713/2021/4n2a7 ◽

2021 ◽

Vol 4 (2) ◽

pp. 125-144

Author(s):

Andrew Phiri ◽

Keyword(s):

Foreign Direct Investment ◽

Economic Performance ◽

Government Spending ◽

Capita Income ◽

Direct Investment ◽

Film Production ◽

Domestic Investment ◽

Per Capita Income ◽

Long Run ◽

Per Capita

The movie industry is increasingly recognised as a possible avenue for improving economic performance. This study focuses on film production and its influence on South African economic growth (per capita income and employment between 1970 and 2020). Our autoregressive lag distributive (ARDL) estimates on a loglinearised endogenous growth model augmented with creative capital indicate that the production of movies has no significant effects on long-run GDP growth, per capita GDP and employment. The baseline regressions find a short-run positive and significant influence of film production on per capita income and are devoid of long-run effects. However, re-estimating the regressions with interactive terms between movie production and i) government spending ii) foreign direct investment, improve the significance of film regression coefficients which all turn positive and significant, for government spending, and negative for foreign direct investment. Our results indicate that foreign investment crowds out domestic investment whilst government investment in movies is growth-enhancing.

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Relationship between income inequality, socioeconomic development, vulnerability index, and maternal mortality in Brazil, 2017

BMC Public Health ◽

10.1186/s12889-021-11861-y ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Maria do Socorro Candeira Costa ◽

Francisco Winter dos Santos Figueiredo

Keyword(s):

Maternal Mortality ◽

Capita Income ◽

Gini Index ◽

Socioeconomic Development ◽

Maternal Mortality Ratio ◽

Socioeconomic Indicators ◽

Per Capita Income ◽

Socioeconomic Determinants ◽

Income Per Capita ◽

Per Capita

Abstract Background Public health recognizes that health conditions depend on factors related to the development patterns income distribution, degree of poverty, working conditions, among other social determinants. The objective of this study was to analyze the association of maternal mortality with the Human Development Index (HDI), Gini Index, Income per capita, and the Social Vulnerability. Method The study analyzed the relationship between MMR and socioeconomic indicators in the 26 federative units and the Federal District of Brazil, in 2017. The socioeconomic indicators used in the study were: HDI, Gini Index, Income per capita, and SVI. Crude and adjusted linear regression were performed between maternal mortality and socioeconomic indicators. Results When analyzing which socioeconomic determinants that are related to maternal mortality ratio rates, a higher per capita income positive effect was observed for lower MMR (β = − 150.8; CI 95% -289.9 to − 11.7; r2 = 0.17; p = 0.035), as well as a trend of higher MMR in relation to the SVI (β = 97.7; CI 95% -12.2 to 207.6; r2 = 0.12; p = 0.079). In model found by the stepwise forward selections, only the per capita income was um index related to less RMM (β = − 0.02; CI 95% -0.05 to − 0.002; r2 = 0.15; p = 0.028). Conclusion The findings showed that the per capita income has a negative association MMR in the different states of Brazil, but seems canceled because of the other socioeconomic determinants related to the poor live conditions.

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POTRET IPM DI PROPINSI JAWA TIMUR TAHUN 2000-2012

Jurnal Ilmu Ekonomi Terapan ◽

10.20473/jiet.v2i2.6107 ◽

2018 ◽

Vol 2 (2) ◽

Author(s):

Prayudi Setiawan Prabowo

Keyword(s):

Population Density ◽

Capita Income ◽

Quantitative Research ◽

Population Control ◽

Per Capita Income ◽

Education And Health ◽

Per Capita ◽

The Government ◽

The Relationship

This study aims to find the relationship between compliance with HDI in East Java. With case study on Surabaya, Sidoarjo and Gresik. Where is expected to recover low HDI East Java in Java Island that year. The method to be used in this research is descriptive Quantitative research method. The first result, success in controlling the population both from the side of birth control and in-migration, will enable the achievement of a relatively low population density. As the population density diminishes, the education budget and health budget issued by the government will have a more significant impact on improving education and public health. This will ultimately increase HDI, as education and health levels are a dimension in HDI measurement. Second, population control will increase per capita income. Per capita income (GRDP per capita) of GRDP is divided by the total population. With fewer populations, GDP per capita will tend to be higher. High per capita income will increase HDI growth.

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