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 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.

scholarly journals ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PENERIMAAN PAJAK KENDARAAN BERMOTOR DI PROVINSI KALIMANTAN SELATAN

2021 ◽  
Vol 10 (4) ◽  
pp. 375
Author(s):  
Dwi Ajeng Kartini Apriliyanti ◽  
Harianto Harianto ◽  
Dedi Budiman Hakim
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Panel Data ◽  
Global Economy ◽  
Central Government ◽  
Motor Vehicle ◽  
Positive Impact ◽  
Tax Revenue ◽  
Panel Data Regression ◽  
Data Regression

Decentralization is the transfer of governmental power by the central government to autonomous regions based on the principle of autonomy. In general, the results of the analysis show that decentralization has had a positive impact on local economic growth. Global economy crisis has affect national economic growth and South Kalimantan slowdown that occurred since 2012 and continued until 2015 which only grew by 3,84%. The realization of motor vehicle tax in 2015-2019 is still fluctuating even though in certain years it has reached the target, so it is necessary to know the factors that affect the motor vehicle tax revenue. The purpose of this study was to analyze the factors that influenced motor vehicle tax revenue in South Kalimantan Province.  The types of data used in this study are primary and secondary data. The analysis method used in this research is panel data regression analysis. The results of this study showed the number of vehicles has a positive and significant effect while population, PDRB per capita, inflation, tax system haven’t significant effect on motor vehicle tax revenues in South Kalimantan Province. Keywords: Panel Data Regression Analysis, motor vehicle tax.

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 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 Keterkaitan Tata Kelola Perusahaan Non Manufaktur Terhadap Keputusan Dividen

2021 ◽  
Vol 26 (3) ◽  
pp. 480
Author(s):  
Muhammad R. Zhafran, Latifah Herman, H. S. Lestari
Keyword(s):  
Regression Analysis ◽  
Panel Data ◽  
Ownership Structure ◽  
Stock Exchange ◽  
Managerial Ownership ◽  
Manufacturing Companies ◽  
Corporate Tax ◽  
Independent Variables ◽  
Panel Data Regression ◽  
Data Regression

This study aims to determine the effect of ownership structure on dividend policy. The sample used for this research is non-manufacturing companies listed on the Indonesia Stock Exchange during the 2015-2020 period, which total 18 companies. The technique for taking samples in this study is purposive sampling and panel data regression analysis methods. The independent variables used are managerial ownership, board size, board independent and the control variables are profitability, firm size, corporate tax with dividend decision as the dependent variable.

scholarly journals Analysis of Food Inflation in Java and Sumatra Islands

2021 ◽  
Vol 3 (2) ◽  
pp. 117-129
Author(s):  
Na Nairobi ◽  
Laura Caroline
Keyword(s):  
Regression Analysis ◽  
Panel Data ◽  
Data Model ◽  
Price Index ◽  
Consumer Price Index ◽  
Independent Variables ◽  
Panel Data Regression ◽  
Data Regression ◽  
Provincial Capital ◽  
Food Inflation

The purpose of this study is to analyze the factors of food inflation in Java and Sumatra. This study uses Panel Data regression analysis to identify inflation and uses a panel data model from 2013 - 2019 with a sample of 16 provinces in Sumatra and Java, to determine the effect of each variable on the Consumer Price Index. The results of this study indicate that from the panel data regression analysis that the independent variables of the World Food Price Index, the Average Price of Onions, Rice, Chili and Chicken in the Provincial Capital have an effect on the Consumer Price Index, while Per Capita PDRB does not have a significant effect on the Consumer Price Index in the Province. Java and Sumatra.

scholarly journals STRATEGI OPTIMALISASI PENGELOLAAN DANA PERIMBANGAN DI INDONESIA

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Ahmad Nurkhayat ◽  
Muhammad Firdaus ◽  
Sri MUlatsih
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Panel Data ◽  
Swot Analysis ◽  
Central Government ◽  
Fiscal Decentralization ◽  
Descriptive Analysis ◽  
Revenue Sharing ◽  
Panel Data Regression ◽  
Data Regression

ABSTRACTBalanced Fund is a part of the fund transfers by the central government to the regional government in implementing fiscal decentralization. The aims of this policy are to: (1) reduce the inequality of funding sources between central and regional governments (vertical imbalance), and the inter-regional imbalance (horizontal imbalance), (2) reduce public service gap among regions. The objectives of this study are to (1) describe the implementation of Balanced Fund in Indonesia, (2) analyze the effects of Balanced Fund on economic growth, (3) formulate optimization strategy of Balanced Fund management in Indonesia. This study used descriptive analysis,panel data regression analysis, and SWOT analysis. Descriptive analysis indicates that Balanced Fund has not been able to optimize equitable regional distribution of financial capability, particularly for regencies and cities. Panel data regression analysis shows that General Allocation Fund and Special Allocation Fund have positive effects on economic growth, except in Banten in which Special Allocation Fund has no effects. Meanwhile, Revenue Sharing Fund results in negative effects on economic growth, except in East Java in which it has no effects. SWOT analysis formulates eight alternative strategies which may be implemented by the Central Government in optimizing the Balanced Fund management.Keywords: General Allocation Fund, panel data, Revenue Sharing Fund, Special Allocation Fund, SWOTABSTRAKDana Perimbangan merupakan bagian dari dana transfer Pemerintah Pusat kepada PemerintahDaerah. Dana ini bertujuan:(1) mengurangi ketimpangan sumber pendanaan antara pusat dan daerah (vertical imbalance), dan ketimpangan antar daerah (horizontal imbalance), dan (2) mengurangi kesenjangan layanan publik antar daerah. Tujuan dari penelitian ini adalah (1) mendeskripsikan implementasi Dana Perimbangan di Indonesia, (2) menganalisis pengaruh Dana Perimbangan terhadap pertumbuhan ekonomi, dan (3) merumuskan strategi optimalisasi pengelolaan Dana Perimbangan di Indonesia. Penelitian ini menggunakan analisa deskriptif, analisis regresi data panel, dan analisis SWOT. Analisis deskriptif menunjukkan bahwa Dana Perimbangan belum sepenuhnya mampu menciptakan pemerataan kemampuan keuangan daerah terutama untuk wilayah kabupaten dan kota. Analisis regresi data panel digunakan untuk menganalisis pengaruh Dana Perimbangan terhadap pertumbuhan ekonomi provinsi-provinsi di Indonesia. Analisis ini menunjukkan bahwa DAU dan DAK memiliki pengaruh positif terhadap pertumbuhan ekonomi, dan DBH berpengaruh negatif. Hasil analisis SWOT merumuskan delapan alternatif strategi yang dapat dilaksanakan oleh Pemerintah Pusat dalam rangka optimalisasi pengelolaan Dana Perimbangan.Kata kunci : Dana Alokasi Umum, data panel, Dana Revenue Sharing, Dana Alokasi Khusus, SWOT

scholarly journals PENGARUH JUMLAH PENDUDUK MISKIN DAN TINGKAT PENGANGGURAN TERBUKA TERHADAP PERTUMBUHAN EKONOMI DI INDONESIA

2020 ◽  
Vol 9 (1) ◽  
pp. 9
Author(s):  
Lidyawati Padang ◽  
Murtala Murtala
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Data Analysis ◽  
Panel Data ◽  
Unemployment Rate ◽  
Poor People ◽  
Panel Data Regression ◽  
Data Regression

This study aims to determine the effect of the number of poor people and the open unemployment rate on economic growth in Indonesia. This study uses panel data from 2015 to 2019. The method of data analysis used is panel data regression analysis. The results of the study partially show that the number of poor people has a negative and significant effect on economic growth in Indonesia, and the open unemployment rate has a negative and significant effect on economic growth in Indonesia. Simultaneously, the number of poor people and the open unemployment rate have a positive and significant effect on economic growth in Indonesia.

scholarly journals ANALISIS PENGARUH KETERBUKAAN EKONOMI TERHADAP PERTUMBUHAN EKONOMI (STUDI KASUS: ASEAN TAHUN 2007 – 2017)

2020 ◽  
Vol 2 (2) ◽  
pp. 20
Author(s):  
Rahmi Nuraini Purnomo
Keyword(s):  
Economic Growth ◽  
Regression Analysis ◽  
Panel Data ◽  
Hypothesis Testing ◽  
Trade Openness ◽  
Financial Sector ◽  
Economic Openness ◽  
Panel Data Regression ◽  
Data Regression ◽  
The World

The era of globalization demands an increasingly broad economic openness from every country in the world, both openness in foreign trade (trade openness) and openness to the financial sector. In theory, economic openness benefits all countries involved. The advantages of trade openness include opening up wider market access to achieving higher levels of efficiency and economic competitiveness, as well as opportunities for greater employment. Openness in the financial sector can encourage the entry of foreign capital (capital inflow), and accelerate the occurrence of capital accumulation and technology transfer. This study aims to analyze the effect of economic openness on economic growth in ASEAN (Indonesia, Malaysia, Singapore, Thailand, Philippines, Vietnam, Brunei Darussalam, Cambodia) for the period 2000 - 2017. This study uses panel data regression analysis with a fixed effect approach.               The method in this study uses quantitative research by conducting hypothesis testing. The data used are secondary data from ASEAN countries in 2007-2017 by looking at publications at the World Bank. This study uses panel data, where the panel data is a combination of cross section and time series data. The analytical tool used is panel data regression analysis using the Eviews9 program. Then the best panel data regression model is estimated.               From the stages of analysis carried out, the results of data analysis showed that the results of the panel data estimation selected the best model were Fixed Effext Model (FEM). Hypothesis testing of the results of the Trade Openness (TO) and Foreign Direct Investment (FDI) model have a positive and significant effect on ASEAN Economic Growth (G), while the government expenditure variable (GOV) has no significant positive effect. The inflation variable (INF) has no effect on economic growth.

scholarly journals Pengaruh Upah Minimum, Kemiskinan dan Pengangguran pada IPM di Kabupaten/Kota Provinsi Jawa Timur

2021 ◽  
Vol 12 (2) ◽  
pp. 214-227
Author(s):  
Moh. Faizin
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Human Development ◽  
Minimum Wage ◽  
Human Development Index ◽  
Development Index ◽  
Independent Variables ◽  
Panel Data Regression ◽  
Data Regression ◽  
Country Today

The paradigm of development of a country today is not only measured by the rate of economic growth, but also by paying attention to human development. The purpose of this study was to analyze the effect of minimum wages, poverty and unemployment on the Human Development Index (HDI) in districts/cities in East Java Province. The method used is panel data regression in 38 districts/cities in East Java in 2010/2018. The results showed partially, the minimum wage has a positive and significant effect, poverty has a negative but not significant effect, and unemployment has a negative and significant effect, toward HDI. Simultaneously, the results found that the three independent variables (i.e.: minimum wage, poverty and unemployment) had a significant effect on HDI.

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