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 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 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 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 PERAN PEBANKAN SYARIAH TERHADAP PERTUMBUHAN EKONOMI DI INDONESIA

2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Ilhamdi Ilhamdi
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Gross Domestic Product ◽  
Positive Impact ◽  
Secondary Data ◽  
Islamic Banking ◽  
Panel Data Regression ◽  
Data Regression ◽  
Conventional Banks

This study aims to determine the role of Islamic banking on economic growth in Indonesia and to compared it with conventional banks. In recent years, Islamic banking has increased in terms of assets. By using panel data regression, this study examines the effect of Islamic banking on economic growth. Besides that, how big is the level of elasticity to economic growth. This study uses secondary data in the form of Gross Domestic Product (GDP), Islamic banking financing and credit by conventional banks. The results showed that Islamic banking and conventional banks had a positive impact on economic growth with the level of elasticity of Islamic banking still below conventional banks. So the existence of Islamic and conventional banks does not always replace, but complement each other in Indonesia.

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 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 Does Fiscal Decentralization Influence on Management Efficiency of Country Innovative Development?

2020 ◽  
pp. 54-62
Author(s):  
Ihor Molotok
Keyword(s):  
Regression Analysis ◽  
Fiscal Decentralization ◽  
Positive Impact ◽  
Tax Revenue ◽  
Global Innovation ◽  
Panel Data Regression ◽  
Data Regression ◽  
Local Budget ◽  
Budget Expenditure ◽  
Budget Revenue

This paper summarizes the arguments and counterarguments within the scientific discussion on the influence of fiscal decentralization measures on the management of innovative country development. The main purpose of the research is to test the hypothesis that expenditure and revenue decentralizations have a positive impact on the management of innovative country development. Testing the hypothesis considers realization of panel data regression analysis, and consists of several stages, such as: 1) elimination of control variables multicollinearity based on the correlation analysis; 2) identification of the regression model specification (fixed or random effects model) with the help of Hausman test; 3) realization of the regression analysis and characteristic of its results (confirmation or rejection of the hypothesis). It also should be noted that country sample consists of 12 unitary European countries (Czech Republic, Denmark, Estonia, France, Hungary, Italy, Latvia, Lithuania, Poland, Slovak Republic, Slovenia, and Ukraine). Time horizon – 2008-2018. Global Innovation Index is a measure of innovative country development. At the same time, the ratio of local budget revenue to consolidated budget revenue, the rate of domestic budget expenditure to consolidated budget expenditure, the proportion of local budget tax revenue to gross local budget revenue are measures of fiscal decentralization in the research. There are also selected a set of control variables that often used in economic growth models and reflect macroeconomic perspectives of country development. However, the practical realization of the stages, as mentioned above, allow identifying that fixed effect specification of the model is more appropriate in all three cases (for three different measures of fiscal decentralization). Panel data regression analysis allows confirming the hypothesis on the positive impact of revenue fiscal decentralization and the negative impact of expenditure decentralization on innovative country development. In turn, there is no statistically significant cohesion between ratio of local budget tax revenue to gross local budget revenue and Global Innovation Index. These findings in terms of fiscal decentralization reform might be considered in order to ensure a balance between power (expenditures) redistribution from central to sub-central governments and local budget financial capacity. While in terms of innovative country development, it should be considered that the lack of local budget financial resources to cover all redistributed from central government level powers makes it impossible to invest in the development of innovation. However, the increase of local government financial capacity creates opportunities not just for essential functions financing but also advanced features investment such as innovative development. Keywords fiscal decentralization, innovation development, local budget expenditures, local budget revenue, local community.

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.

Sign in / Sign up

Export Citation Format

Share Document