scholarly journals PENGARUH FAKTOR-FAKTOR RIIL EKONOMI TERHADAP PDRB PERTANIAN INDONESIA

2021 ◽  
Vol 4 (2) ◽  
pp. 10
Author(s):  
Tarmizi Abbas ◽  
Nurhayati M
Keyword(s):  
Panel Data ◽  
Agricultural Sector ◽  
Government Expenditure ◽  
Domestic Product ◽  
Panel Data Regression ◽  
Data Regression

This study analyzed the effects of government expenditure, investment, and  labor  on  the Gross  Regional  Domestic  Product  (GRDP)  of  the agricultural sector in all provinces in Indonesia using panel data for four years (2015 - 2018). The model used was a Panel Data Regression. The results showed that Government Expenditure, Investment positively influenced,   and   Labor   negatively   influenced   the   GRDP   of   the Agricultural Sector, and these three variables significantly influenced the GRDP of the Agricultural Sector in Indonesia.

scholarly journals Efficiency and Effectiveness of Government Expenditure on Education at Districts/Cities Level in East Java Indonesia

2017 ◽  
Vol 13 (8) ◽  
pp. 91
Author(s):  
Achmad Solihin ◽  
Djoko Mursinto ◽  
Lilik Sugiharti
Keyword(s):  
Panel Data ◽  
Local Government ◽  
Government Expenditure ◽  
Educational Outcome ◽  
Household Expenditure ◽  
Panel Data Regression ◽  
Data Regression ◽  
Efficiency And Effectiveness ◽  
Local Government Expenditure ◽  
Regional Product

The purpose of this study is to investigate and analyze the efficiency and effectiveness of local government expenditure on education sector in districts and cities level of East Java, during the periods 2007-2014. Furthermore, this study will evaluate the impacts of local government expenditure, household expenditure for education, and regional product domestic bruto or (PDRB) on the educational outcomes, namely education index.Data Envelopment Analysis (DEA) is selected as the methodology for analyzing the efficiency of local government expenditure on educational outcome. The model assumes constant return to scale (CRS) and variable return to scale (VRS). Measurement of the effectiveness of government spending is done by using panel data regression. Data for supporting the analyses is panel data from 38 districts and cities in East Java for the periods of 2007 – 2014. The results show that government expenditure in educational sector is relatively inefficient. Government Expenditure for Education (PPP) has no significant impact on educational index, while Household expenditure for education (PPRT) and GRDP per Capita positive has significant impact on the Education Index (IP). This imply that government expenditure for educational sector is not effective improving educational index.

scholarly journals ANALISIS PENGARUH JUMLAH PENDUDUK, PENDIDIKAN, UPAH MINIMUM DAN PRODUK DOMESTIK REGIONAL BRUTO (PDRB) TERHADAP JUMLAH PENGANGGURAN DI KABUPATEN DAN KOTAPROVINSI JAWA TIMUR TAHUN 2010-2014

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Trianggono Budi Hartanto
Keyword(s):  
Panel Data ◽  
Gross Domestic Product ◽  
Minimum Wage ◽  
Random Effect ◽  
Random Effect Model ◽  
Domestic Product ◽  
Population Education ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Impact

AbstractThis research aims to analyze the impact of variable population, education (Means Years School), minimum wage and gross domestic regional product on unemployment in district and cities East Java from 2010 to 2014. The analytical method used panel data regression (pooled data) with the Random Effect Model approach. Results of panel data regression analysis in this research showed population, education (means years school), minimum wage and regional gross domestic product is simultaneously significant positive effect on unemployment in distric and cities East Java. Partially, population, education (means year school) and regional gross domestic product is significant and positive impact on unemployment, while minimum wage has no significant impact on unemployment in distric and cities East Java. Keywords : Unemployment,  Population,  Education,  Minimum  Wage,  Gross Domestic Regional Bruto (GDRP) Research Area: District and City East Java

scholarly journals Migration und Geld: Können Remittances den Wohlstand eines Landes fördern?

2018 ◽  
Vol 87 (3) ◽  
pp. 165-179
Author(s):  
Marcus Deetz ◽  
Anna Ammon ◽  
Neele Döpkens
Keyword(s):  
Foreign Direct Investment ◽  
Panel Data ◽  
Gross Domestic Product ◽  
Direct Investment ◽  
Home Country ◽  
Positive Influence ◽  
Domestic Product ◽  
Control Variables ◽  
Panel Data Regression ◽  
Data Regression

Zusammenfassung: Haben Remittances, also der Geldtransfer von Migrantinnen und Migranten zur Unterstützung der Familien im Heimatland, einen positiven Einfluss auf den Wohlstand eines Landes? Hierzu können die empirischen Befunde wie folgt zusammengefasst werden: Bei den durchgeführten Paneldatenregressionen von Remittances pro Person auf das Bruttoinlandsprodukt pro Einwohner, wobei die Kontrollvariablen Arbeitslosigkeit, Export, ausländische Direktinvestitionen, Bruttoinvestitionen sowie der Einfluss der Finanzkrise 2008–2009 berücksichtigt wurden, ist der Koeffizient der Variablen Remittances pro Person mit einer Höhe von 0,026 statistisch hochsignifikant. Remittances haben demnach einen positiven Einfluss auf den Wohlstand eines Landes, wenn dieser in Bruttoinlandsprodukt pro Einwohner gemessen wird. Auch die Ergebnisse der Robustheitsanalysen haben den positiven Zusammenhang bestätigt, der auch bei Veränderung von Kontrollvariablen statistisch signifikant bleibt. Summary: Do remittances, that is, the transfer of money from migrants to support families in their home country, have a positive influence on the prosperity of a country? The empirical findings can be summarized as follows: In the panel data regression of remittances per person to the gross domestic product per inhabitant, whereby the control variables unemployment, export, foreign direct investment, gross investment and the influence of the financial crisis 2008–2009 were taken into account, the coefficient of the variable remittances per person is statistically highly significant at 0.026. Thus, remittances have a positive influence on a country’s prosperity when measured in gross domestic product per inhabitant. The results of the robustness analyses also confirmed the positive correlation, which remains statistically significant even if control variables are changed.

scholarly journals Determinan Tingkat Pengangguran Terbuka di Provinsi Banten Tahun 2008-2013

2017 ◽  
Vol 4 (2) ◽  
pp. 169
Author(s):  
Sunlip Wibisono ◽  
Jefti Sidania ◽  
Rafael Purtomo S
Keyword(s):  
Panel Data ◽  
Unemployment Rate ◽  
Secondary Data ◽  
Analytical Tool ◽  
Minimum Wages ◽  
Domestic Product ◽  
Regression Methods ◽  
Panel Data Regression ◽  
Data Regression

The purpose of this study was to determine of the effect of population, Gross Regional Domestic Product (GDP), and the Minimum Wages District (UMK) on the level of open unemployment rate in Banten Province. The data that used in this research was secondary data and data obtained Bps and relevance agencies. The analytical tool used in this research is panel data regression methods Fixed Effext Model (FEM). The object of this research is the district/city in Banten Province Period 2008-2013. The results of the research conducted is known that the number of populaton, GDP, and UMK significantly along the open unemployment rate in Banten Province. Keywords : Open unemployment rate, Population, GDP, and UMK

scholarly journals Regresi Data Panel untuk Mengetahui Faktor-Faktor yang Mempengaruhi PDRB di Provinsi DIY Tahun 2011-2015

2019 ◽  
Vol 2 (1) ◽  
pp. 42
Author(s):  
Dea Aulia Nandita ◽  
Lalu Bayu Alamsyah ◽  
Enggar Prima Jati ◽  
Edy Widodo
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Secondary Data ◽  
Least Square ◽  
Domestic Product ◽  
Data Series ◽  
Population Number ◽  
Section Data ◽  
Panel Data Regression ◽  
Data Regression

<p>Population growth can encourage and hinder economic growth. This study aims to analyze the factors that influence gross domestic product (GDP) in Daerah Istimewa Yogyakarta (DIY) using panel data regression. This study uses three independent variables, namely number of population, number of poor population, and investment, while the dependent variable is GDP. We use secondary data obtained from Badan Pusat Statistik (BPS). The results obtained from the regression analysis of the data series time panel are generalized least square (GLS), while for the cross section data panel shows the REM model is more suitable than PLS and FEM. Based on the validity test of the influence or t-test, the variable that shows significant to the economic rate which is categorized as GRDP in the Daerah Istimewa Yogyakarta in 2011-2015 is the variable Total population and Investment which has a positive relationship.</p><p><strong>Keywords</strong><strong> : </strong>economic growth rate, panel data regression, gross regional domestic product</p>

scholarly journals Faktor-Faktor Penentu Belanja Daerah Kabupaten/Kota di Provinsi Papua Barat

2018 ◽  
Vol 1 (1) ◽  
pp. 1-9
Author(s):  
Marcus R. Maspaitella ◽  
Lillyani M. Orisu ◽  
Rahel Y. Tiwery
Keyword(s):  
Panel Data ◽  
Local Government ◽  
Local Governments ◽  
Government Expenditure ◽  
Regional Autonomy ◽  
Panel Data Regression ◽  
Data Regression ◽  
Local Government Expenditure ◽  
Papua Barat

Regional autonomy has provided a rightful authority for local governments to set and manage their own governmental affairs. The implication derived from this regulation is that local governments have to fulfill the regions’ needs as well as to explore much more potentials owned. This can enhance the capacity of local governments that could be a useful capital in financing operational programs. This research aims to analyse the influence of region own source revenue, balance fund, and other lawful local revenues on local government expenditure of regencies and city in Papua Barat province between 2010 and 2015. Sample in this research includes six regencies and one city. Panel data regression was employed to estimate the fitted model. The result indicated that the effects of balance fund and other lawful local revenues were positive and significant, whereas the influence of region own source revenue was not significant on government expenditure of regency/city in Papua Barat.

scholarly journals Analisis Faktor-faktor yang Mempengaruhi Pertumbuhan Ekonomi pada 15 Negara OKI Tahun 2014-2018

Telaah Bisnis ◽  
2021 ◽  
Vol 20 (1) ◽  
pp. 23
Author(s):  
Ira Humaira Hany
Keyword(s):  
Economic Growth ◽  
Saudi Arabia ◽  
Regression Analysis ◽  
Panel Data ◽  
Government Expenditure ◽  
Panel Data Regression ◽  
Data Regression

Economic growth is an important factor in measuring how successful the economy is. Therefore, many countries will always try to increase their economic growth for priority targets that must be achieved. This study aims to analyze the factors that influence economic growth in OIC member countries, which consists of 15 countries, namely Afghanistan, Bahrain, Balangdesh, Egypt, Indonesia, Jordan, Kazakhstan, Kuwait, Libya, Malaysia, Morocco, Pakistan, Tunisia, Saudi Arabia and Yemen. This study consists of five variables, namely: GDP, Investment, Exports, Imports, and Government Expenditure using panel data regression analysis. The results showed that three of the four variables used to significantly influence economic growth in OIC countries were exports, imports, and government expenditure, while the investment variable had no significant effect. From this study it can be concluded that not all variables have a significant effect on economic growth in OIC countries.

scholarly journals Pengaruh AHH, AHLS Dan PDRB Terhadap Jumlah Penduduk Miskin Di Provinsi Aceh

2020 ◽  
Vol 9 (1) ◽  
pp. 17
Author(s):  
Siti Khodijah Bancin ◽  
Umaruddin Usman
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Life Expectancy ◽  
Domestic Product ◽  
Poor People ◽  
Analysis Method ◽  
Insignificant Effect ◽  
Panel Data Regression ◽  
Data Regression ◽  
Aceh Province

This study aims to determine the effect of life expectancy, school lenght expectancy, and gross regional domestic product on the number of poor people in Aceh Province. The data used in this study is panel data from 2011 to 2017. The data analysis method used is panel data regression analysis.This study uses panel data from 2011 to 2017. The data analysis method used is the Panel data regression analysis. The results partially show that life expectancy has a negative and insignificant effect on the number of poor people in Aceh Province, school length expectancy has a positive but insignificant effect on the number of poor people in Aceh Province, and the Gross Regional Domestic Product has a negative and insignificant effect on the poor people in Aceh Province. Simultaneously, life expectancy, school length expectancy, and gross regional domestic product have a positive and significant effect on the number of poor people in Aceh Province..

scholarly journals Determinants of Fiscal Stress in Central Sulawesi 2014-2018 Period

2020 ◽  
Vol 5 (2) ◽  
pp. 16
Author(s):  
Zakina Zein Al-Hadar ◽  
Mohamad Ichwan ◽  
Santi Yunus
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Regression Method ◽  
Domestic Product ◽  
Fiscal Stress ◽  
Panel Data Regression ◽  
Data Regression ◽  
Central Sulawesi

<p align="justify">This study aims to analyze the effect the Local-owned Source Revenue, Regional Expenditure and Gross Regional Domestic Product on Fiscal Stress in Regencies/Cities of Central Sulawesi Province Period 2014 – 2018. Data analysis was using panel data regression method. The results of this study indicated that simultaneously variable Local-owned Source Revenue (PAD), Regional Expenditure (BD), and Gross Regional Domestic Product (PDRB) had a significant effect on Fiscal Stress in Regencies/Cities of Central Sulawesi Province for 2014 – 2018 period.<strong> </strong>Partially, Local-owned Source Revenue variable (PAD) had reduced and significantly decreased Fiscal Stress in the Regency/Cities of Central Sulawesi Province period 2014-2018. Regional expenditure variable (BD) had increase and significantly affected Fiscal Stress in Regencies/ Cities of Central Sulawesi Province Period 2014 – 2018. While Gross Regional Domestic Product (PDRB) variable had increase and was insignificant to Fiscal Stress in Regencies/Cities of Central Sulawesi Province 2014 – 2018 period.</p>

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