Deteminants of Tax Burden in Vietnam

2020 ◽  
Vol 7 (6) ◽  
pp. 793-800
Author(s):  
Nguyen Huu Cung
Keyword(s):  
Economic Freedom ◽  
Time Series Data ◽  
Empirical Method ◽  
Regulatory Function ◽  
Series Data ◽  
Tax Revenue ◽  
Tax Burden ◽  
Data Set ◽  
The Impact ◽  
Positive Effect

Taxation is an important tool for each country's government to regulate the economy, distribute income fairly and contribute largely to the state budget. Tax revenue is related to the tax burden. How to achieve tax revenue to ensure an appropriate tax burden rate for the economy and the people is a relatively difficult task for each country. The empirical method is employed on a secondary time series data set during the period 1999-2016 to determine the impact of GDP at current prices, tax revenue, index of economic freedom on tax burden in Vietnam by using a linear approach. The empirical results find that the relationship between gross domestic product and tax burden is a negative sign at 1% significant level. Tax revenue has a positive effect on tax burden at 1% significant level. Economic freedom index has a positive effect on tax burden at 1% significant level. Based on the findings, the article recommends that Vietnam continues to seek positive solutions to enhance the economic growth rate, reducing tax revenue through the transfer of some socio-economic development tasks to the private sector which may be undertaken, strongly equitizing state-owned enterprises, retaining a number of businesses with economy regulatory function and social security.

Does Tax Increment Financing Pass the “But-for” Test in Missouri?

2019 ◽  
Vol 33 (3) ◽  
pp. 187-202
Author(s):  
Ahmed Rachid El-Khattabi ◽  
T. William Lester
Keyword(s):  
Economic Development ◽  
Kansas City ◽  
Time Series Data ◽  
Local Level ◽  
Conclusive Evidence ◽  
Series Data ◽  
Tax Increment Financing ◽  
Data Set ◽  
Development Indicators ◽  
The Impact

The use of tax increment financing (TIF) remains a popular, yet highly controversial, tool among policy makers in their efforts to promote economic development. This study conducts a comprehensive assessment of the effectiveness of Missouri’s TIF program, specifically in Kansas City and St. Louis, in creating economic opportunities. We build a time-series data set starting 1990 through 2012 of detailed employment levels, establishment counts, and sales at the census block-group level to run a set of difference-in-differences with matching estimates for the impact of TIF at the local level. Although we analyze the impact of TIF on a wide set of indicators and across various industry sectors, we find no conclusive evidence that the TIF program in either city has a causal impact on key economic development indicators.

scholarly journals Political Stability and its Impact on Economic Growth of Pakistan (1988-2018): A Time Series Analysis

2020 ◽  
Vol 6 (1) ◽  
pp. 273-282
Author(s):  
Majid Hussain Phul ◽  
Muhammad Saleem Rahpoto ◽  
Ghulam Muhammad Mangnejo
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Time Series Data ◽  
Political Stability ◽  
Series Data ◽  
Explanatory Variables ◽  
Long Run ◽  
Short Run ◽  
The Impact ◽  
Positive Effect

This research paper empirically investigates the outcome of Political stability on economic growth (EG) of Pakistan for the period of 1988 to 2018. Political stability (PS), gross fixed capital formation (GFCF), total labor force (TLF) and Inflation (INF) are important explanatory variables. Whereas for model selection GDPr is used as the dependent variable. To check the stationary of time series data Augmented Dickey Fuller (ADF) unit root (UR) test has been used,  and whereas to find out the long run relationship among variables, OLS method has been used. The analysis the impact of PS on EG (EG) in the short run, VAR model has been used. The outcomes show that all the variables (PS, GFCF, TLF and INF) have a significantly positive effect on the EG of Pakistan in the long run period. But the effect of PS on GDP is smaller. Further, in this research we are trying to see the short run relationship between GDP and other explanatory variables. The outcomes show that PS does not have such effect on GDP in the short run analysis. While GFCF, TLF and INF have significantly positive effect on GDP of Pakistan in the short run period.

scholarly journals Electing to Do Women's Work? Gendered Divisions of Labor in U.K. Select Committees, 1979–2016

2020 ◽  
pp. 1-33
Author(s):  
Mark Goodwin ◽  
Stephen Holden Bates ◽  
Stephen McKay
Keyword(s):  
Time Series Data ◽  
Series Data ◽  
Left Wing ◽  
Select Committee ◽  
Data Set ◽  
Representation Of Women ◽  
The United Kingdom ◽  
Parliamentary Committee ◽  
Original Time ◽  
The Impact

Abstract Where female representatives are located within legislatures and what they do matters for the substantive representation of women. Previous scholarship has found that female parliamentary committee members participate differently than their male counterparts in relation to both policy area and status of positions held. Here, we draw on an original time-series data set (n = 9,767) to analyze the U.K. select committee system. We test for the impact of four variables previously found to be important in explaining changes in gendered divisions of labor: the system of appointment/election, the proportion of female representatives in the legislature, sharp increases in the number of female representatives, and changes in government from right-wing parties to left-wing parties. We find that horizontal and vertical divisions of labor persist over time and that membership patterns in the United Kingdom mainly correspond to those found elsewhere. Moreover, there is little evidence that any of the four variables have systematically affected membership patterns.

scholarly journals Impact of Remittances on Economic Growth: Evidence from Selected West African Countries (Cameroon, Cape Verde, Nigeria and Senegal)

2015 ◽  
Vol 1 (2) ◽  
Author(s):  
Muriel Adarkwa ◽  
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
West African ◽  
Cape Verde ◽  
Series Data ◽  
African Countries ◽  
The World Bank ◽  
Negative Effect ◽  
The Impact ◽  
Positive Effect

Remittances from abroad play a key role in the development of many West African countries. Remittances tend to increase the income of recipients, reduce shortage of foreign exchange and help alleviate poverty. This research examines the impact of remittances on economic growth in four selected West African countries: Cameroon, Cape Verde, Nigeria and Senegal. Using developmentalist, structuralist and pluralist views on remittances, a linear regression was run on time series data from the World Bank database for the period 2000–2010. After a critical analysis of the impact of remittances on economic growth in these four countries, it was found that inflow of remittances to Senegal and Nigeria has a positive effect on these countries’ gross domestic product whereas for Cape Verde and Cameroon it had a negative effect. Cameroon benefitted the least from remittances and Nigeria benefitted the most within the period. One contribution of this study is the finding that remittance inflows need to be invested in productive sectors. Even if remittances continue to increase, without investment in productive sectors they cannot have any meaningful impact on economic growth in these countries.

scholarly journals Economics of Property Crime Rate in Punjab

2013 ◽  
Vol 52 (3) ◽  
pp. 221-233
Author(s):  
Shahzad Mahmood Jabbar ◽  
Hasan M. Mohsin
Keyword(s):  
Population Density ◽  
Crime Rate ◽  
Time Series Data ◽  
Negative Relationship ◽  
Property Crime ◽  
Deterrent Effect ◽  
Series Data ◽  
Data Set ◽  
Police Strength ◽  
The Impact

This study intends to ascertain the impact of socio-economic, demographic and deterrent variables and the effect of technical criminal know-how and past criminal experience on property crime rate. The property crime equation comprises of the following independent variables: population density, unemployment rate, literacy rate, police strength and number of police proclaimed offenders in a society. The property crime equation has been estimated by using a time-series data set for Punjab from 1978 to 2012. We have applied Johansen cointegration approach to test the long run relationship among the variables. Empirical findings suggest that police strength has a deterrent effect while past criminal experience enhances property crime rate in Punjab. The study finds population density has a significant positive relationship while education has a significant negative relationship with property crime rate. Further we also find a negative relationship between unemployment and property crime which is supported by the concept of ‘consensus of doubt’ in the discipline of crime and economics. JEL Classification: D6

Does Infrastructure Matters in Government Spending? A Case Study of Jammu and Kashmir (India) with Cointegration Approach

2017 ◽  
Vol 9 (2) ◽  
pp. 82-97 ◽  
Author(s):  
Samir Ul Hassan ◽  
Biswambhara Mishra
Keyword(s):  
Government Spending ◽  
Time Series Data ◽  
Government Expenditure ◽  
Jel Classification ◽  
Series Data ◽  
Data Set ◽  
Jammu And Kashmir ◽  
Long Run ◽  
The Government ◽  
The Impact

This study is an attempt to investigate the impact of infrastructure level on government spending in short and long run and also to find the tendency of infrastructure level to stabilise any disequilibrium in government spending in long run. Infrastructure is related to the quality and quantity of goods and services provided by government to the population, to fulfil their diverse demands. The state of Jammu and Kashmir (J&K) is not an exception; the increasing trend in different aspects of population and rising needs and aspirations of the growing population forces the government to increase expenditure on that count, which results in increase in aggregate government spending. Using multivariate cointegration technique followed by vector error correction model (VECM) model on annual time-series data for the period from 1984 to 2013 with broader data set of infrastructure dimension, the study found that the infrastructure variables cause major variation in government expenditure in short as well as in long run. Study shows that infrastructure related to health, education, roads and portable water produce positive and significant impact on the growth of government spending and infrastructure related to these dimensions has significant tendency to stabilise any disequilibrium in government spending in long run. JEL Classification: H3, H5, H53, I

scholarly journals China–Pakistan Economic Corridor, Logistics Developments and Economic Growth in Pakistan

Logistics ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 35
Author(s):  
Zunaira Khadim ◽  
Irem Batool ◽  
Muhammad Bilal Lodhi
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Positive Impact ◽  
Real Income ◽  
Series Data ◽  
Data Set ◽  
Long Run ◽  
Short Run ◽  
Factor Inputs ◽  
The Impact

The study aims to analyze the impact of China–Pakistan Economic Corridor (CPEC) logistics-related developments on economic growth in Pakistan. The study defined a Cobb–Douglas type of research framework in which the country’s real income level relates to four factor inputs, e.g., employed labor force, logistics development, financial development, and energy consumption in an economy. The study utilized the time series data set for the period 1972–2018. To estimate the long run relationship and short run adjustment mechanism, the study used Johansen’s method of co-integration and error correction model. Estimated results showed that the country’s logistics developments have a significant positive impact on economic growth in both the long run and the short run. It implies that China–Pakistan collaborative efforts for logistics developments will have a strong positive impact on economic growth in Pakistan.

scholarly journals Tax Revenue Productivity on Nepalese Economy

2020 ◽  
Vol 10 (1) ◽  
pp. 32-43
Author(s):  
Binod Sah
Keyword(s):  
Error Correction ◽  
Time Series Data ◽  
Explanatory Power ◽  
Error Correction Model ◽  
Series Data ◽  
Fiscal Year ◽  
Tax Revenue ◽  
Correction Model ◽  
The Impact ◽  
Year 2013

This paper seeks to examine the productivity of Tax Revenue (TR) in the Nepalese economy. It, therefore, analyzes the impact of TR on GDP in aggregate level. This study adopts explanatory research design and attempts to determine the relationship between TR and the GDP. Exchange rate, market capitalization money supply and government spending being the intervening variables included in the model. In order for the specification of a model of co integrated regression model with a time series data of the variables are employed for the study period of 20 years, from 1999/2000 to 2018/19. The values of all the variables are converted into real price (constant price) by GDP deflator. The GDP deflator and CPI year 2013/14 have been assumed equivalent to the base year 2013/14 according to Nepalese fiscal year. Since it is observed that residuals are not normally distributed, autocorrelation and multi-co linearity problem in the model, it is necessary to improve the non-normal distribution, autocorrelation and multi-co linearity problem in the model. Therefore, the data are transposed into first difference and run the model with error correction model (ECMt-n). The R2 shows that the explanatory power of the model, indicating that the variation of GDP is explained to the extent of 81 percent variation of the independent variable included in the model. The estimated coefficient of TR in error correction model shows that one percent point rise in TR has led to0.17645 percent point increase in real GDP in short run, whereas it is found 0.21364 percent point in the long-run. This is supported by (World bank, 2003, 2007, 2018) using a large sample of developing countries observed over the period 1980-2006, and even after factoring in the endogeneity of tax revenue.

scholarly journals Fiscal Response to Terrorism in Pakistan: The Role of Institutions

2021 ◽  
Vol 5 (1) ◽  
pp. 154-192
Author(s):  
Tahir Mukhtar ◽  
Zainab Jehan
Keyword(s):  
Fiscal Policy ◽  
Time Series Data ◽  
Institutional Quality ◽  
Jel Classification ◽  
Defense Spending ◽  
Series Data ◽  
Tax Revenue ◽  
The Government ◽  
The Impact

This study empirically estimates the fiscal consequences of terrorism in Pakistan by using annual time series data from 1984 to 2016. By employing the autoregressive distributed lag (ARDL) technique, the study has gauged the impact of terrorist incidents on two important facets of fiscal policy, namely, tax revenue and defense spending. The results reveal that terrorism has detrimental ramifications for fiscal policy in Pakistan. Specifically, on the one hand, an increase in terrorist incidents tends to bring a fall in tax revenue while on the other hand, they induce a rise in defense outlays, thus deteriorating both fronts of the fiscal position. Notably, the moderating role of institutional quality appears significant and indicates that institutional quality has not only a significant direct impact on fiscal policy, but it also helps in completely mitigating (reducing) the harmful impact of terrorism on defense spending (tax revenue) in Pakistan. These findings suggest that there is a need to take appropriate steps for strengthening institutional setup to control the fallouts of terrorism on fiscal behavior of the government of Pakistan. Keywords: Terrorism; Tax Revenue; Institutional Quality; ARDL JEL Classification: E62; H2; E02; H5; F35

The Impact of Foreign Aid on Education in Pakistan

2018 ◽  
Vol 3 (1) ◽  
Author(s):  
Muhammad MASOOD ANWAR ◽  
Ghulam YAHYA KHAN ◽  
Sardar JAVAID IQBAL KHAN
Keyword(s):  
Economic Growth ◽  
Foreign Aid ◽  
Time Series Data ◽  
Political Stability ◽  
Vital Role ◽  
Series Data ◽  
Major Objective ◽  
Data Set ◽  
The Government ◽  
The Impact

Foreign Aid (FA) is an important determinant of economic growth in the developing world and especially countries like Pakistan, where development needs could not be financed by the government due to limited domestic resources. FA supplements domestic resources of finance such as savings and also enhances the amount of investment and capital stock in the country. Education is also a one of the major contributors of economic growth. In countries like Pakistan education also plays a vital role in political stability where institutions are not sound enough. The Major objective of the study is to check the effectiveness of foreign aid for education in Pakistan. This study has been primarily conducted using a time series data set for Pakistan over the period 1975 to 2010. The variables of interest are foreign aid and education, other variables are investment and openness to foreign trade. For empirical analysis ARDL techniques of co-integration developed by Pesaran and Shin (Ghorbani & Motallebi, 2009) have been used. The results show positive relationship between foreign aid and education. The study has relevance as far as policy decisions are concerned for foreign aid. 

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