PENGARUH TATA KELOLA PEMERINTAHAN, PENERIMAAAN PAJAK DAN EKSPOR TERHADAP PEREKONOMIAN DI ASIA PASIFIK

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Dwi Mahriun ◽  
Dewi Zaini Putri
Keyword(s):  
Developing Countries ◽  
Panel Data ◽  
Political Stability ◽  
Tax Revenue ◽  
Insignificant Effect ◽  
Panel Data Regression ◽  
Data Regression ◽  
Data Documentation ◽  
Control Of Corruption

This study aims to examine the effect of governance , tax revenue and export on economy in Asia Pasific. The data used is panel data during the period 2010-2017, and collected by data documentation and library obtained from relevant institutions and agencies. The variables used are control of corruption (X1), political stability (X2), tax revenue (X3), expor (X4) and economy (Y). Using the panel data regression apporoach a sample of developed and developing countries, it finds: (i) control of corruption, tax revenue and export have a significant effect on economy, (ii) political stability have a insignificant effect on economy, (iii) and simultaneuosly all of the indenpendent variables in this study have a significant effect on economy.

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 Inflation & Economic Freedom: Evidence from MENA Region

2011 ◽  
Vol 2 (4) ◽  
pp. 125-130
Author(s):  
Ahmad Jafari Samimi ◽  
Leila Shadabi .
Keyword(s):  
Developing Countries ◽  
Regression Analysis ◽  
Panel Data ◽  
Economic Freedom ◽  
Mena Region ◽  
Economic Variables ◽  
Panel Data Regression ◽  
Data Regression ◽  
Socio Economic Variables ◽  
The Impact

Since1980s economic freedom policies have been popular in most countries, especially in developing countries. There are many studies regarding relationship between economic freedom and other socio-economic variables, but few dealt directly with the impact of economic freedom on inflation. This study analyses the effect of economic freedom on inflation in MENA region during 1996- 2006 using panel data regression analysis on the basis of the so- called Gordon theory. Our findings indicate that although the impact of economic freedom on inflationis not considerable butit is statistically significance.

scholarly journals Determinants of Tourist Arrivals in Africa: A Panel Data Regression Analysis

2005 ◽  
Vol 11 (3) ◽  
pp. 365-391 ◽  
Author(s):  
Willem A. Naudé ◽  
Andrea Saayman
Keyword(s):  
Panel Data ◽  
Political Stability ◽  
African Countries ◽  
Developed Country ◽  
Relative Prices ◽  
Section Data ◽  
Panel Data Regression ◽  
Data Regression ◽  
Tourism Potential ◽  
The Cost

Africa's tourism potential is acknowledged to be significant but underdeveloped. This paper uses both cross-section data and panel data for the period 1996–2000 to identify the determinants of tourism arrivals in 43 African countries, taking into account tourists' country of origin. The results strongly suggest that political stability, tourism infrastructure, marketing and information, and the level of development at the destination are key determinants of travel to Africa. Typical ‘developed country determinants’ of tourism demand, such as the level of income in the origin country, the relative prices and the cost of travel, are not so significant in explaining the demand for Africa as a tourism destination. It is therefore recommended that attention should be given to improving the overall stability of the continent and the availability and quantity of tourism infrastructure.

scholarly journals KAJIAN KETIMPANGAN WILAYAH DI KAWASAN SUBOSUKAWONOSRATEN TAHUN 2001-2016

2019 ◽  
Vol 8 (3) ◽  
pp. 288
Author(s):  
Yetti Anita Sari ◽  
Sri Rum Giyarsih ◽  
Evita Hanie Pangaribowo
Keyword(s):  
Developing Countries ◽  
Panel Data ◽  
Weighted Least Squares ◽  
Regional Disparity ◽  
Theil Index ◽  
Enrollment Rate ◽  
Analysis Techniques ◽  
Agriculture Sector ◽  
Panel Data Regression ◽  
Data Regression

Regional disparity was a common problem in developing countries. Different regional potentials result in disparity between regions. This study aims to analyze regional disparity in Subosukwonosraten region during 2001-2016 and to determine factors that affect regional disparity in Subosukawonosraten. Analysis techniques used in this study were entropy theil index and panel data regression. The result showed that regional disparity in Subosukawonosraten tends to increase during 2001-2016. Showed by the results of the total theil index in 2001 was 8.8133 to 12.4879 in 2016. The results of panel data regression fixed effect with Weighted Least Squares were share indsutry sector and share agriculture sector have the negative and significant impact on regional disparity. Enrollment rate, morbidity, and population growth have the positive and significant impact on regional disparity.

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 Pengaruh Jumlah Penduduk dan Produk Domestik Regional Bruto Terhadap Penerimaan Pajak Daerah Pada 19 Kabupaten dan Kota Di Sumatera Barat Tahun 2015-2019

2021 ◽  
Vol 5 (1) ◽  
pp. 85-95
Author(s):  
Gerry Hamdani Putra ◽  
Evinda Rosliani
Keyword(s):  
Panel Data ◽  
Local Government ◽  
Total Population ◽  
Domestic Product ◽  
Tax Revenue ◽  
Government Revenue ◽  
The People ◽  
Panel Data Regression ◽  
Data Regression ◽  
Direct Compensation

Regional tax is an obligatory contribution to the region owed by an individual or entity that is compelling based on law without receiving direct compensation and is used for regional needs for the greatest prosperity of the people. This study aims to examine the Total Population and Gross Regional Domestic Product of Regional Tax Revenues in 19 districts and cities in west sumatera. This study uses local government revenue realization data in 19 districts and cities of west sumatera for the 2015-2019 period published by the Central Statistik Agency (BPS). Hypothesis testing uses panel data regression using the eviews 8.0 program. The results showed that population has a negative and significant effect on local tax revenue and gross regional domestic product has a positive and significant effect on local tax revenue.

A mechanism to improve the allocation of public investment funds

2020 ◽  
Vol 26 (7) ◽  
pp. 1522-1533
Author(s):  
A.V. Larionov
Keyword(s):  
Panel Data ◽  
Random Effects ◽  
Public Investment ◽  
Allocative Efficiency ◽  
Investment Funds ◽  
The Public ◽  
Panel Data Regression ◽  
Data Regression ◽  
Efficiency And Effectiveness ◽  
Effective System

Subject. This article deals with the issue of improving the public investment allocative efficiency. Objectives. The article aims to develop an approach to improve the efficiency and effectiveness of public investment in the economy. Methods. The study is based on a panel data regression with random effects. Conclusions and Relevance. All sectors of the economy have different demand for investment resources attracted, determined by operational and technological aspects. The results of the study can be used to develop an effective system of public investment.

Determinants Of Capital Structure For Multinational And Domestic Companies In India: Panel Data Regression Model

2019 ◽  
Vol 118 (7) ◽  
pp. 147-154
Author(s):  
K. Maheswari ◽  
Dr. J. Gayathri ◽  
Dr. M. Babu ◽  
Dr.G. Indhumathi
Keyword(s):  
Panel Data ◽  
Capital Structure ◽  
Regression Model ◽  
Business Risk ◽  
Return On Assets ◽  
Panel Data Regression ◽  
Data Regression ◽  
Return On Capital ◽  
Domestic Companies ◽  
The Capital Structure

The capital structure refers to the components of capital needed to establish and expand its business activities. The study was made with an objective to examine the determinants of capital structure of multinational and domestic companies listed in S&P BSE automobile sector. The study concluded that there is significant impact on capital structure determinants such as size, business risk, non debt shield tax, return on assets, tangibility, profit, return on capital employed and liquidity on the capital structure of multinational and domestic companies of Indian Automobile Sector.  

FAKTOR DETERMINAN PEMBENTUK STRUKTUR MODAL PADA PERUSAHAAN SEKTOR FARMASI PERIODE 2012 - 2016

2017 ◽  
Vol 2 ◽  
pp. 241-250
Author(s):  
Neng Ria Kanita ◽  
Hendryadi Hendryadi
Keyword(s):  
Panel Data ◽  
Capital Structure ◽  
Firm Size ◽  
Stock Exchange ◽  
Pharmaceutical Manufacturing ◽  
Manufacturing Companies ◽  
Purposive Sampling ◽  
Panel Data Regression ◽  
Data Regression ◽  
Partial Effects

This study aims to examine the simultaneous and partial effects of profitability, liquidity, and firm size on capital structure. The sample is 10 pharmaceutical manufacturing companies listed in Indonesia Stock Exchange period 2012-2016, using purposive sampling. The technique of analysis used is panel data regression (pooled regression). The results showed that the selected model is the fixed effect. Simultaneously NPM, CR, and Firm Size have a significant effect on capital structure. Partially NPM has a negative and significant effect on capital structure. CR partially have a negative and not significant effect on capital structure. Partially Firm Size have a positive and significant effect on capital structure. Variables that have a significant effect on capital structure are NPM and Firm Size. While CR does not significantly affect the capital structure. Keywords: Capital Structure, Profitability, Liquidity, Firm Size

A Study of Multilayered Profitability Analysis by Using DuPont Model: Evidence from Indian Pharmaceutical Industry

2021 ◽  
pp. 097215092199305
Author(s):  
Pinku Paul
Keyword(s):  
Panel Data ◽  
Pharmaceutical Industry ◽  
Profit Margin ◽  
Pharmaceutical Firms ◽  
Sustainable Performance ◽  
Profitability Analysis ◽  
Panel Data Regression ◽  
Data Regression ◽  
Negative Effect ◽  
Positive Effect

Profitability is used as a prime indicator to measure the sustainable performance of an organization. The current study made an attempt to apply the DuPont model to investigate the multilevel profitability determinants for the pharmaceutical industry of India. The study also estimates an empirical model to predict the association of profitability with factors such as profit margin, asset utilization, leverage, interest load and tax load of firms in the pharmaceutical industry of India. For this purpose, a dataset for 170 companies from 2010–2011 to 2018–2019 was analysed initially by using panel data regression followed by stepwise panel data regression. The study successfully applied and tested the DuPont model with respect to the firms of the pharmaceutical industry in India. It was found that the factors such as profit margin, asset utilization and leverage had a significant positive effect on the firms’ profitability and the factor interest load had a significant negative effect on the firms’ profitability. The tax load does not have an impact on the profitability of the pharmaceutical firms in India. These findings are expected to provide a guide for understanding the profitability of the firms in a better way.

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