scholarly journals ANALYSIS OF WELFARE IN INDONESIA: CASE STUDY IN 2008-2017

2019 ◽  
Author(s):  
Basri Bado
Keyword(s):  
Natural Resources ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Income Per Capita ◽  
Section Data ◽  
Panel Data Regression ◽  
Data Regression ◽  
Per Capita

<p>The purpose of the study was to analyze the factors of natural resources, income per capita, infrastructure, education, institutions and population against inequality between regions and welfare in Indonesia. This study uses panel data regression analysis. This study analyzes secondary data consisting of 33 provincial cross section data and 10 years time series data (2008-2017).<br>The results of the study found inequality between regions in Indonesia with different intensities. Factors of natural resources, income per capita, infrastructure, education, wealth and population have a positive and significant effect on inequality between Factors of natural resources, income per capita, infrastructure, education, wealth and population have a positive and significant effect on inequality between regions. Furthermore, 2% of the inequality variables between regions affect the level of welfare and the rest are influenced by natural resources, per capita income, infrastructure, education, institutions and population.</p>

scholarly journals ANALYSIS OF WELFARE IN INDONESIA: CASE STUDY IN 2008-2017

2019 ◽  
Author(s):  
Basri Bado
Keyword(s):  
Natural Resources ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Income Per Capita ◽  
Section Data ◽  
Panel Data Regression ◽  
Data Regression ◽  
Per Capita

<p>The purpose of the study was to analyze the factors of natural resources, income per capita, infrastructure, education, institutions and population against inequality between regions and welfare in Indonesia. This study uses panel data regression analysis. This study analyzes secondary data consisting of 33 provincial cross section data and 10 years time series data (2008-2017).<br>The results of the study found inequality between regions in Indonesia with different intensities. Factors of natural resources, income per capita, infrastructure, education, wealth and population have a positive and significant effect on inequality between Factors of natural resources, income per capita, infrastructure, education, wealth and population have a positive and significant effect on inequality between regions. Furthermore, 2% of the inequality variables between regions affect the level of welfare and the rest are influenced by natural resources, per capita income, infrastructure, education, institutions and population.</p>

scholarly journals Pemodelan Kasus DBD di Provinsi Jawa Timur dengan Metode Data Panel

2019 ◽  
Vol 8 (2) ◽  
pp. 101
Author(s):  
Annisa Dwinda Shafira
Keyword(s):  
Panel Data ◽  
Population Density ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Panel Regression ◽  
Affecting Factors ◽  
Factors Affecting ◽  
Panel Data Regression ◽  
Data Regression

The combination of panel data regression consist of time series data, it was collected based on a characteristic at a certain time (cross section). This research aimed to analyze the affecting factors and dominant factors of Dengue Hemoragic Fever (DHF) cases in East Java using panel data regression. This research uses secondary data published by the East Java Provincial Health Office, namely the Health Profile and the East Java Provincial Statistics Agency such as documents of each Districts/City in Numbers of East Java on 2014––2017 using total research population that were collected in all districts/cities in East Java Province. The data of new cases of DHF and factors affecting the incidence of DHF including clean and healthy living behavior in the household, poverty, population density, rainfall in East Java on 2014––2017. Panel regression analysis is used to determine the best model of the CEM, FEM and REM using Chow test, Hausman test and Langrange Multiplier test. Based on the results, the best model of panel regression is FEM with affecting variables such as poverty, population density, and rainfall.

scholarly journals Pemodelan Kasus DBD di Provinsi Jawa Timur dengan Metode Data Panel

2019 ◽  
Vol 8 (2) ◽  
pp. 101
Author(s):  
Annisa Dwinda Shafira
Keyword(s):  
Panel Data ◽  
Population Density ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Panel Regression ◽  
Affecting Factors ◽  
Factors Affecting ◽  
Panel Data Regression ◽  
Data Regression

The combination of panel data regression consist of time series data, it was collected based on a characteristic at a certain time (cross section). This research aimed to analyze the affecting factors and dominant factors of Dengue Hemoragic Fever (DHF) cases in East Java using panel data regression. This research uses secondary data published by the East Java Provincial Health Office, namely the Health Profile and the East Java Provincial Statistics Agency such as documents of each Districts/City in Numbers of East Java on 2014––2017 using total research population that were collected in all districts/cities in East Java Province. The data of new cases of DHF and factors affecting the incidence of DHF including clean and healthy living behavior in the household, poverty, population density, rainfall in East Java on 2014––2017. Panel regression analysis is used to determine the best model of the CEM, FEM and REM using Chow test, Hausman test and Langrange Multiplier test. Based on the results, the best model of panel regression is FEM with affecting variables such as poverty, population density, and rainfall.

scholarly journals TINJAUAN DEFISIT FISKAL, EKSPOR, IMPOR DAN JUMLAH UMKM TERHADAP PERTUMBUHAN EKONOMI INDONESIA

2020 ◽  
Vol 5 (2) ◽  
pp. 151
Author(s):  
Erni Febrina Harahap ◽  
Luviana Luviana ◽  
Nurul Huda
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Time Series Data ◽  
Estimation Method ◽  
Secondary Data ◽  
Fixed Effect ◽  
Series Data ◽  
Important Indicator ◽  
Panel Data Regression ◽  
Data Regression

<div class="WordSection1"><p><em>Economic growth is one of most important indicator in analyze the economic development in a state. This research purpose to analyze how much the influence of fiscal deficits, export, import, and total UMKM to Indonesian economic growth. The type of data used in this research is secondary data in the form of time series data and was obtained from some government institutions. The estimation method used is panel data regression with the fixed effect approach period 2010 - 2017. From the results of this research refer that fiscal deficit, import and total UMKM have a significant to Indonesian economic growth, while export not significant to Indonesian economic growth.</em></p></div><p>Pertumbuhan ekonomi merupakan salah satu indikator yang sangat penting dalam melakukan analisis pembanguan ekonomi di suatu negara. Penelitian ini bertujuan untuk menganalisis seberapa besar pengaruh defisit fiskal, ekspor, impor, jumlah UMKM terhadap Pertumbuhan Ekonomi Indonesia. Jenis data yang digunakan dalam penelitian ini adalah data sekunder yang berupa data <em>time series</em> dan diperoleh dari beberapa lembaga pemerintah. Metode estimasi yang digunakan adalah regresi data panel dengan pendekatan <em>fixed effect </em>periode 2010 – 2017. Dari hasil penelitian menunjukkan bahwa defisit fiskal, impor dan jumlah UMKM berpengaruh signifikan terhadap Pertumbuhan Ekonomi Indonesia, sedangkan ekspor tidak berpengaruh signifikan terhadap pertumbuhan ekonomi Indonesia.</p><p><strong> </strong></p>

scholarly journals The Effect of Zakat, Poverty, Unemployment, and Per Capita Income on HDI Through Economic Growth As Intervening Variables in Central Java Period 2017-2020

2021 ◽  
Vol 1 ◽  
pp. 57-66
Author(s):  
Erin Yulfitasari ◽  
Anton Bawono
Keyword(s):  
Economic Growth ◽  
Capita Income ◽  
Time Series Data ◽  
Secondary Data ◽  
Series Data ◽  
Analysis Tool ◽  
Per Capita Income ◽  
Income Per Capita ◽  
Central Java ◽  
Per Capita

The purpose of this study was to determine the effect of zakat, poverty, unemployment, and income per capita on the human development index in Central Java with economic growth as an intervening variable. This research is a quantitative research with secondary data taken from the Central Java Baznas and the BPS website. The data used is panel data, which is a combination of time series data from 2017-2020 and cross section data of 35 districts/cities. The population of this study is in districts/cities in Central Java with saturated sampling. The analysis tool uses eviews 9.0 with regression analysis selected fixed effect model. The results showed that zakat and poverty had a significant effect on HDI, while unemployment and income per capita had no significant effect on HDI. Then zakat and poverty have a significant effect on economic growth, while unemployment and per capita income do not have a significant effect on economic growth. But economic growth has a significant effect on HDI. Then, simultaneously the variables of zakat, poverty, unemployment, and income per capita have no effect on HDI with economic growth as moderating.

scholarly journals PENGARUH KINERJA KEUANGAN DAN KINERJA LINGKUNGAN TERHADAP NILAI PERUSAHAAN PERTAMBANGAN DI ISSI PERIODE 2013-2017

2020 ◽  
Vol 6 (9) ◽  
pp. 1795
Author(s):  
Lidia Ralina ◽  
Ari Prasetyo
Keyword(s):  
Firm Value ◽  
Time Series Data ◽  
Random Effect ◽  
Social Reporting ◽  
Series Data ◽  
Estimation Model ◽  
Current Ratio ◽  
Section Data ◽  
Panel Data Regression ◽  
Data Regression

This study analyzed the influence of Islamic Social Reporting (ISR), Return on Asset, and Current Ratio on the value of the companies which were registered in ISSI in 2013-2017. This research used panel data regression analysis to combine time series data and cross section data. The results of the research with estimation model of Random Effect showed that ISR, ROA and CR partially had significant effects on the value of the company. ISR, ROA and CR silmutanously affect on the value of the mining companies registered in ISSI 2013-2017.Keywords: Islamic Social Reporting, Return on Asset, Current Ratio, and Firm Value

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PENYERAPAN TENAGA KERJA DI PROVINSI JAWA TENGAH

2021 ◽  
Vol 13 (2) ◽  
pp. 141
Author(s):  
Shafa Nanda Puspita ◽  
Sri Maryani ◽  
Herry Purwantho
Keyword(s):  
Time Series Data ◽  
National Income ◽  
Series Data ◽  
Section Data ◽  
Central Java ◽  
Panel Data Regression ◽  
Data Regression ◽  
Lm Test ◽  
Selection Test ◽  
Central Java Province

Labor absorption is an important factor in supporting economic development through national income. The low level of employment is still a problem in various regions in Indonesia, especially in Central Java Province. The problem of employment, can be overcome by maximizing the factors that affect the increase in labor absorption. Therefore, it is necessary to analyze the factors that are thought to affect the increase in labor absorption. This study aims to analyze the factors that influence labor absorption in Central Java Province. This study uses a descriptive quantitative approach with a panel data regression model. The best model selection test used is the Chow test, Hausman test, and Lagrange Multiplier test (LM) Test which was carried out using the Eviews 9 software. This study uses cross section data from 35 districts/cities in Central Java Province and time series data on the number of workers, labor force, unemployment, minimum wages, and GRDP of each district/city for the 2015-2020 period. The results of the discussion show that simultaneously and partially the number of workers, the number of the workforce, the number of unemployed, the minimum wage, and GRDP have an effect on the absorption of labor in Central Java Province.

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

Analisis pengaruh makroekonomi terhadap dana pihak ketiga (DPK) dengan equivalent rate (ER) sebagai variabel intervening

2021 ◽  
pp. 100-123
Author(s):  
Salma Firdayanti Salma ◽  
Yusvita Nena Arinta Nena
Keyword(s):  
Exchange Rate ◽  
Quantitative Research ◽  
Time Series Data ◽  
Secondary Data ◽  
Third Party ◽  
Series Data ◽  
Equivalent Rate ◽  
Negative Effect ◽  
Party Funding

This study aims to determine the Effect of Macroeconomics on Third-Party Funding (TPF) with the Equivalent Rate (ER) as the Intervening Variable (Case Study of Islamic Commercial Banks Period 2016-2020). This type of research is quantitative research which utilizes secondary data in the form of time-series data. Purposive sampling was used as the sampling method. The data that has been obtained later processed using the E-views version 9 application tool. Based on the results, it is shown that the Inflation, BI Rate, and Equivalent Ratevariables partially have a negative effect on TPF, while the Exchange Rate has a positive effect on TPF. Moreover, the variables of Inflation, Exchange Rate, and BI Rate have a positive and significant effect on the Equivalent Rate (ER). It is also found thatThe Equivalent Rate variable cannot mediate the effect of Inflation, Exchange Rate, and BI Rate on TPF.

scholarly journals The Effect Of Fiscal Decentralization And Economic Growth On Poverty In Gorontalo Province

2020 ◽  
Vol 1 (2) ◽  
Author(s):  
Dahlia Destari Inayah Ali ◽  
Sri Endang Saleh
Keyword(s):  
Economic Growth ◽  
Local Governments ◽  
Quantitative Methods ◽  
Time Series Data ◽  
Fiscal Decentralization ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Series Data ◽  
Section Data ◽  
Negative Effect

The implementation of fiscal decentralization policy has a good impact on the development of the potential and creativity of local governments. Effectiveness in managing the results of regional wealth will affect the original income of the region which can then be utilized for the welfare of the community. This study aims to determine the effect of fiscal decentralization and economic growth on poverty in Gorontalo Province. This research uses quantitative methods. The data used in this study were sourced from the Central Statistics Agency and the Directorate General of Fiscal Balance so that the data in this study were secondary data using the econometrics method through a panel data regression equation in the form of a combination of 10-year time series data (2008-2017) and cross section data 6 Regency / City areas in Gorontalo Province. Estimation is done using the Fixed Effect Model (FEM). The results of this study indicate that (1) Partially the degree of fiscal decentralization has a negative effect (unidirectional relationship) and significant on poverty means that the greater the fiscal decentralization variable will have an impact on reducing the level of poverty (2) Partially economic growth has a negative effect (unidirectional relationship) and significant to poverty means increasing economic growth can reduce poverty levels (3) Simultaneously the degree of fiscal decentralization and economic growth have a significant effect on poverty in Gorontalo Province. Keywords: fiscal decentralization, economic growth, poverty

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