scholarly journals PERTUMBUHAN EKONOMI, DISPARITAS PENDAPATAN DAN KESEJAHTERAAN KABUPATEN/KOTA DI PROVINSI NUSA TENGGARA BARAT

GANEC SWARA ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 59
Author(s):  
BAIQ HIPZIWATY ◽  
PUTU KARISMAWAN ◽  
BAIQ ISMIWATY
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Panel Data ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Income Disparity ◽  
The People ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

This study aims to analyze economic growth, income disparity and community welfare in the West Nusa Tenggara Province.     This research is a descriptive study using secondary data obtained from relevant agencies in the form of GRDP data, population, economic growth, HDI and per capita income between regencies / cities in NTB Province and data collection using the case method. With analytical procedures using Williamson index and panel data regression analysis.     The results showed that during the period of 2010-2016 the average economic growth of West Nusa Tenggara Province was 6.0%. The income disparity seen from the Williamson index in the 2010-2016 period is classified as a medium inequality criterion. The estimation results of the relationship between the variables of economic growth, income disparity and the welfare of the people of West Nusa Tenggara Province measured using HDI in 2010-2016 using panel data regression analysis with the Fixed Effect model (FEM), found that economic growth variables were positively related, but not significant to welfare society. The variable income disparity is significantly related to the welfare of the people of NTB Province.

scholarly journals Analisis Pengaruh Pertumbuhan Ekonomi, Jumlah Angkatan Kerja dan Upah Minimum Regional Terhadap Pengangguran Terdidik di Jawa Timur

2017 ◽  
Vol 4 (2) ◽  
pp. 187
Author(s):  
R. Achmad Ryan Z ◽  
Nanik Istiyani ◽  
Anifatul Hanim
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Regression Analysis ◽  
Panel Data ◽  
Labor Force ◽  
Cross Section ◽  
Secondary Data ◽  
Minimum Wages ◽  
Panel Data Regression ◽  
Data Regression

This research aimed to determine how much the influence of economic growth, the number of labor force and regional minumum wages on educated unemployment in East Java. The data used in this research is secondary data such as time series and cross section. The analytical method used in this research is panel data regression analysis. The results showed that variable of the economic growth was positifly and not significantly affect to the educated unemployment in East Java, whereas the number of labor force and regional minimum wages was positivly and significantly affect to the educated unemployment in East Java. Keywords: The Economic Growth, the Number of Labor Force and Regional Minimum Wages.

Dana pihak ketiga, Inflasi dan Pembiayaan Mudharabah terhadap Non Performing Financing pada Bank Islam di Indonesia dan Malaysia

2019 ◽  
Vol 16 (2) ◽  
pp. 74-80
Author(s):  
Afrillia Tiara Putri ◽  
Saadah Yuliana ◽  
Anna Yulianita
Keyword(s):  
Panel Data ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Third Party ◽  
Coefficient Of Determination ◽  
Islamic Banks ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Negative Effect

This study aimed to analyze the influence of third party funds, inflation, and mudharabah against non performing financing on Islamic Banks in Indonesia and Malaysia. Data used is secondary data. The method used in this analysis is the panel data regression. The results showed that in partial third party fund and mudharabah significant negative effect on the Non Performing Financing, while inflation is positive and not significant to the Non Performing Financing. Variable Third Party Funds, Inflation and mudharabah jointly significant effect on Non Performing Financing. Based on the regression equation fixed effect model results show the results of the coefficient of determination (R2) is 0.369198, or 36.91 per cent means that the variation of the variable third party funds, inflation and mudharabah have an influence on the non performing financing for the coefficient of determination, while the rest 63.09 percent influenced by variables outside the model

scholarly journals PENGARUH TINDAK KORUPSI TERHADAP KEMISKINAN DI NEGARA-NEGARA ASIA TENGGARA DENGAN MODEL PANEL DATA

2020 ◽  
Vol 4 (2) ◽  
pp. 311-320
Author(s):  
Aditya Firman Baktiar ◽  
Herpanindra Fadhilah ◽  
Margareth Dwiyanti Simatupang ◽  
Mula Warman ◽  
Salsa Vira ◽  
...  
Keyword(s):  
Panel Data ◽  
Southeast Asia ◽  
Secondary Data ◽  
Fixed Effect Model ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
The World ◽  
Data Source ◽  
High Level

Poverty is still being an issue all over the world. It also happens in Southeast Asia that mostly consists of developing countries that identic with high poverty rates. Countries in the world have tried to eradicate the problem of poverty, it's just that it can be hampered due to the high level of corruption. This study aims to look at suitable models and the relationship between corruption and poverty. The data source in this study is secondary data from ten countries in Southeast Asia from 2015 to 2018. Analysis of the data used in this study is panel data. The result obtained is a panel data regression model that is more suitable for modeling the effect of corruption on poverty in Southeast Asian countries is a fixed effect model. Based on the model, the corruption represented by Corruption Perception Index (CPI) and the poverty represented by Human Development Index (HDI) is directly proportional which means every increase in one unit of CPI will also increase the HDI score by 0.001443 unit.

scholarly journals PENERAPAN REGRESI DATA PANEL PADA ANALISIS PENGARUH INFRASTRUKTUR TERHADAP PRODUKTIFITAS EKONOMI PROVINSI-PROVINSI DI LUAR PULAU JAWA TAHUN 2010-2014

2018 ◽  
Vol 11 (1) ◽  
pp. 1-15
Author(s):  
Yosephine Magdalena Sitorus ◽  
Lia Yuliana
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Seemingly Unrelated Regression ◽  
Total Output ◽  
Economic Productivity ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

There is inequality between the economic growth of provinces in Java and outside of Java. The total area of Java  is only 6,77% from total area of Indonesia but the Growth Domestic Product (GDP) based on constant price in 2014, Java contributed 57,8% of the GDP total Indonesia. One cause that made this disparity is the development of infrastructure in outside Java is still weak. The development of infrastructure is a basic element for increasing total output production that later will increase the economic growth. However, there are so many problems that occur in developing the infrastructure in outside of Java. This study aimed to analyze the condition of infrastructure provinces outside Java in 2010-2014. The data used is the secondary data for 27 provinces outside of Java 2010-2014 from BPS. The analytical method used is panel data regression with fixed effect model and Seemingly Unrelated Regression (SUR) Model. Based on the results, the infrastructure that affects economic productivity significantly and positively is road infrastructure, health, and budget. Infrastructure that affects economic productivity significantly and negatively is the educational infrastructure. Water and electricity infrastructure did not significantly affect economic productivity.Keywords: Infrastructure, Economic productivity, Panel Data Regression, Fixed Effect Model

Analisis Tingkat Kesenjangan Pendapatan antar Provinsi di Indonesia Menggunakan Regresi Data Panel Model Pengaruh Tetap

2019 ◽  
Vol 7 (3) ◽  
Author(s):  
Thooriq Ghaith ◽  
Hari Wijayanto ◽  
Anang Kurnia
Keyword(s):  
Panel Data ◽  
Fixed Effect Model ◽  
Poor People ◽  
Income Disparity ◽  
Explanatory Variables ◽  
Income Disparities ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Using Data

THOORIQ GHAITH. Analysis of Income Disparity Rates among Provinces in Indonesia Using Panel Data Regression. Supervised by HARI WIJAYANTO and ANANG KURNIA.   Income disparities in Indonesia generally and in each province particularly is a serious problem from year to year. It is necessary to find out the factors that affect the income disparity rates (Gini ratio) to be taken into consideration in determining the economic policy. By using data of 33 provinces from 2007 until 2016, panel data regression with provincial fixed effect model approach was used to determine factors that affect Gini ratios in Indonesia and to capture the differences of Gini ratio characteristics of each province in form of intercept. Modeling was done for whole Indonesia and for five regions as well to find out what factors that affect the Gini ratio of provinces in Indonesia generally and what factors affect Gini ratios of provinces in each region particularly. The percentage of poor people is a significant factor to Gini ratio in the model throughout Indonesia and in the model of each region, except in Sumatera. Beside the percentage of the poor people, other explanatory variables affecting Gini ratios are GDP growth rates in Kalimantan, open unemployment rates in Sulawesi, and provincial minimum wage in Nusa Tenggara, Maluku and Papua. All of the predicted models are good enough because they produce MAPE values below 10%.

scholarly journals Analisis penerimaan pajak bumi dan bangunan-P2 serta pengaruhnya terhadap pendapatan daerah Kabupaten/Kota di Provinsi Jambi

2020 ◽  
Vol 15 (2) ◽  
pp. 183-196
Author(s):  
Budi Setiawan ◽  
M. Rachmad R ◽  
Arman Delis
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Panel Data ◽  
Cross Section ◽  
Secondary Data ◽  
Simple Linear Regression ◽  
Panel Data Regression ◽  
Data Regression ◽  
Negative Effect ◽  
Positive Effect

This study aims to analyze the determinants of PBB-P2 revenue, to determine the effect of PBB-P2 revenue on regional revenue and to formulate strategies for increasing PBB-P2 revenue in Jambi Province. The data used in this study is secondary data with the type of Time series 2014-2018 data and Cross Section 11 districts/cities that come from the Central Statistics Agency and Regency / City BPPRD. This study uses Panel Data Regression Analysis and uses Simple Linear Regression using the E-Views 8.0 tool. The results of this study indicate that PBB-P2 always increases every year. From the results of panel data regression analysis, the results show that investment, economic growth, and taxpayers together have a significant effect on PBB-P2 with an R square value of 0.924, the Prob value (F- statistic) 0,000 and the F-statistic value is 26,556. The effect of investment on PBB-P2 has a positive effect, which means that if investment increases, PBB-P2 will also experience an increase. Economic growth and taxpayers will have a negative effect on PBB-P2 which means that the increase in PBB-P2 will decrease the economic growth and taxpayers.

scholarly journals EXAMINATION OF THE EFFECT OF LOGISTICS FUNCTIONS ON FINANCIAL PERFORMANCE OF ORGANIZATION

2021 ◽  
Vol 8 (3) ◽  
pp. 18-26
Author(s):  
Boye AYANTOYINBO ◽  
Adeolu GBADEGESIN
Keyword(s):  
Regression Analysis ◽  
Panel Data ◽  
Financial Performance ◽  
Performance Indicators ◽  
Secondary Data ◽  
Manufacturing Companies ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Subject ◽  
Logistic Functions

The contributions of logistics functions to the performance of an organization have been the subject of research over the years. Thus, this present study further examined the effect of outbound logistics functions on financial performance of quoted manufacturing companies in Nigeria. Panel data regression analysis was employed to test the effect of logistics functions on financial performance of the selected companies over a period of five years (2015-2019). Logistic functions costs and financial performance indicators were extracted from secondary data.  The findings of the study showed that logistics function has a positive and significant effect on financial performance of manufacturing companies in Nigeria. Therefore, the companies are implored to pay more attention to logistics functions when aiming at a better financial performance.

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PERTUMBUHAN EKONOMI DI OKI

2020 ◽  
Vol 7 (6) ◽  
pp. 1128
Author(s):  
Wheni Yeisa ◽  
Lina Nugraha Rani
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
International Trade ◽  
Panel Data ◽  
Labour Force ◽  
Estimation Model ◽  
Independent Variables ◽  
Panel Data Regression ◽  
Data Regression ◽  
Effect Estimation

Economic growth is an indicator that plays an important role in determining the prosperity of a country. This study aims to analyze the effect of labour force, international trade, and inflation towards economic growth in OIC countries over the period 2007 to 2018. Panel data regression analysis approach was adopted to analyze the effect of independent variables on the dependent variable. The results of the fixed effect estimation model found that all variables simultaneously had a significant effect on economic growth. Partially, labour force and internasional trade have a significant effect, while inflation has no significant effect on economic growth. The results of this study can be used as a reference and evaluation materials for policy makers.Keywords: Labour Force, International Trade, Inflation, Economic Growth, Organizations of Islamic Cooperation

scholarly journals Analisis Regresi Panel pada Pemodelan Tingkat Kematian Bayi di Provinsi Sulawesi Selatan

2020 ◽  
Vol 2 (2) ◽  
pp. 115
Author(s):  
Syafruddin Side ◽  
S. Sukarna ◽  
Raihana Nurfitrah
Keyword(s):  
Panel Data ◽  
Infant Mortality ◽  
Regression Model ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Least Square ◽  
Dummy Variable ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression

Penelitian ini membahas mengenai estimasi parameter model regresi data panel pada pemodelan tingkat kematian bayi di Provinsi Sulawesi Selatan dari tahun 2014 sampai dengan 2015. Data yang digunakan adalah data sekunder dari Dinas Kesehatan Provinsi Sulawesi Selatan yang berupa jumlah kematian bayi, berat bayi lahir rendah, persalinan yang ditolong oleh tenaga kesehatan, penduduk miskin, bayi yang diberi ASI ekslusif dan rumah tangga berperilaku bersih sehat di seluruh Kabupaten/Kota di Provinsi Sulawesi Selatan tahun 2014-2016. Analisis data dilakukan dengan menggunakan penghitungan manual dan dengan menggunakan software EViews 9. Pembahasan dimulai dari melakukan estimasi parameter model regresi data panel, menentukan model regresi data panel terbaik, , menguji asumsi model regresi data panel, pengujian signifikansi parameter dan interpretasi model regresi. Dalam penelitian ini diperoleh kesimpulan yaitu estimasi model regresi data panel terbaik dengan pendekatan fixed effect model.Kata kunci:Regresi Data Panel, Kematian Bayi, Fixed Effect Model, Least Square Dummy Variable. This research discusses about parameter estimation of panel data regression model of infant mortality level modelling in South Sulawesi from 2014 to 2015. The data used were secondary data from Dinas Kesehatan Provinsi Sulawesi Selatan in the form of number of infant mortality, low weight of infant, childbirth rescued by health workers, poor population, infants who were given exclusive breast milk and household that behaves well in the whole district/town in South Sulawesi year 2014-2016. Data analysis was performed using the calculation manually and by using EViews 9 software. The discussion started from doing parameter estimation of panel data regression model, determining the best panel data regression model, testing the assumption of panel data regression model, testing the signification of parameter and interpretation of regression model. Conclusion of this research are the estimation of regression model is the best panel data regression model with fixed effects model approach.Keywords:Panel Data Regression, Infant Mortality, Fixed Effect Model, Least Square Dummy Variable.

scholarly journals Pengaruh ketimpangan pendapatan dan kemiskinan terhadap pertumbuhan ekonomi antar pulau di Indonesia

2019 ◽  
Vol 14 (2) ◽  
pp. 55-66
Author(s):  
Selamet Rahmadi ◽  
Parmadi Parmadi
Keyword(s):  
Economic Growth ◽  
Fixed Effect Model ◽  
Model Estimation ◽  
Estimation Model ◽  
Hausman Test ◽  
Pooled Data ◽  
Effect Model ◽  
Panel Data Regression ◽  
Data Regression ◽  
Estimation Models

This study aims to find out and analyze the effect of income inequality and poverty on economic growth on each island in Indonesia. To answer these objectives, panel data regression (pooled data) is used. The results of the study show: (1). the best regressions on estimation models are based on the Chow and the Hausman test using the Fixed Effect Model estimation model for each island in Indonesia. (2). Income and poverty inequality negatively affected economic growth in all islands in Indonesia during the 2015-2018.

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