Governance and tax revenue: does foreign aid matter?

2021 ◽  
pp. 002085232110560
Author(s):  
Jun Wen ◽  
Umar Farooq ◽  
Mosab I. Tabash ◽  
Ghaleb A. El Refae ◽  
Bilal Haider Subhani
Keyword(s):  
Foreign Aid ◽  
Numerical Data ◽  
Positive Association ◽  
Aid Effectiveness ◽  
Least Square ◽  
Tax Revenue ◽  
Tax Collection ◽  
Ordinary Least Square ◽  
Long Run ◽  
Common Notion

This study seeks to explores the relationship among governance, foreign aid, and tax revenue. A common notion on governance is that it is a multifaceted factor, it may affect from other factor that is foreign aid. Foreign aid can hamper the governance situation and thus can reduce tax collection. To test these theoretical assumptions, we collected the numerical data from Asian economies for the years 2001–2019 and employed the panel FMOLS (fully modified ordinary least square) test to estimate the regression. The empirical findings first reveal that governance and foreign aid have a positive association with tax revenue in the long run. However, a negative trend in tax collection was observed following the interaction of foreign aid and governance. Foreign aid deteriorates the governance situation, which has a negative spillover impact on tax revenue. Our empirical analysis suggests that policy officials should focus on exercising governance and foreign aid effectiveness to meet the objective of more tax collection. Points for practitioners Policy officials should focus on better governance exercises. They should carefully decide on the volume of foreign aid receipts. However, if it becomes necessary to receive foreign aid, then they should focus on aid effectiveness. Such steps can benefit the practitioners to collect more tax.

Foreign aid and growth nexus: empirical evidence from South Asian countries

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nihar Ranjan Jena ◽  
Narayan Sethi
Keyword(s):  
Economic Growth ◽  
Foreign Aid ◽  
South Asian ◽  
Least Square ◽  
Asian Countries ◽  
Content Type ◽  
Ordinary Least Square ◽  
Asian Region ◽  
Long Run ◽  
Short Run

PurposeThe purpose of this paper is to empirically examine the effectiveness of foreign aid in improving economic growth prospects in the South Asian region from 1996 to 2017.Design/methodology/approachA sample of eight South Asian countries for the period 1996–2017 is being considered for this study. This study uses various econometrics tools such as Pedroni and Johansen–Fisher panel cointegration test, panel fully modified ordinary least square and panel dynamic ordinary least square (PDOLS) to ascertain the long-run and short-run dynamics among the variables under consideration.FindingsThe empirical results found that long-run, as well as the short-run relationship, exist among foreign aid, economic growth, investment, financial deepening, price stability and trade openness of the South Asian economies. The authors also found unidirectional causality running from foreign aid to economic growth. Both the long-run relationship as well as short-run causality between foreign aid and economic growth is unequivocally positive.Originality/valueThis study uses a dynamic macroeconomic modeling framework to assess the impact of aid flows on economic growth in South Asian economies. Taking into account the diversity of level of growth experienced by the eight countries in the Asian region, this study uses an appropriate regression technique, i.e. PDOLS whose results are robust. Therefore, the policymakers in these countries are well-advised to implement suitable policy measures to ensure optimum utilization of foreign capital resources garnered by way of receipt of foreign aid and build on for stronger future economic growth.

scholarly journals Banking Sector Development, Inflation and Economic Growth in Asian Countries: A Panel Causality and Co-Integration Approach

2018 ◽  
Vol 8 (4) ◽  
pp. 384
Author(s):  
Muhammad Imran Nazir ◽  
Rehana Tabassam ◽  
Ifran Khan ◽  
Muhammad Rizwan Nazir
Keyword(s):  
Economic Growth ◽  
Banking Sector ◽  
Vital Role ◽  
Least Square ◽  
Policy Implications ◽  
Asian Countries ◽  
Ordinary Least Square ◽  
Long Run ◽  
Banking Sector Development ◽  
Integration Test

This study investigates the causal relationship between banking sector development, inflation, and economic growth for six Asian countries (Bangladesh, China, India, Malaysia, Pakistan and Sri Lanka) over the period of 1970-2016. Using a Pedroni panel, Kao co-integration test, Panel Granger causality-based Error Correction Model, Dynamic ordinary least square (DOLS), and Fully modified ordinary least square (FMOLS), this study finds that the development of the banking sector generally has a positive relationship with economic growth in the long-run. This results show that in the long-run, monetary policy play a vital role in the economic growth. This study also confirmed the response causality between the indicators of banking sector development and economic growth. Based on the empirical findings, this research provides important policy implications to the banking sector and economic supervisory bodies in order to achieve the long run economic growth.

scholarly journals Impacto das exportações de alta tecnologia no crescimento econômico: evidências empíricas do Paquistão

2017 ◽  
Vol 8 (1) ◽  
pp. 91 ◽  
Author(s):  
Muhammad Usman
Keyword(s):  
Economic Growth ◽  
World Bank ◽  
Time Span ◽  
Least Square ◽  
High Tech ◽  
Ordinary Least Square ◽  
Robust Standard Error ◽  
Long Run ◽  
Data Source ◽  
The Impact

The goal of this study is to explore the impact of high tech exports on economic growth of Pakistan. To examine this relationship, data are collected from World Bank database, State Bank of Pakistan data source and Statistical Bureau of Pakistan. Time span of study is consisting of 20 years from 1995 to 2014. By using ordinary least square (OLS) with robust standard error, results confirm that there is a positive and statistically significant impact of high tech exports on economic growth. Although Pakistan is an agriculture country and its economic growth is largely depend upon farming, but for long run economic growth, Pakistan has to increase its high tech exports.

scholarly journals Impact of Exchange Rate Management on the Nigerian Economic Growth: Empirical Validation

2019 ◽  
Vol 1 (2) ◽  
pp. 28-35
Author(s):  
Friday Osaru Ovenseri Ogbomo ◽  
Precious Imuwahen Ajoonu
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Inflation Rate ◽  
Government Expenditure ◽  
Least Square ◽  
Ordinary Least Square ◽  
Exchange Rate Management ◽  
Long Run ◽  
Short Run ◽  
The Impact

This paper examined the impact of Exchange Rate Management on economic growth in Nigeria between 1980 and 2015. The study was set to gauge how the management of exchange rate in Nigeria has impacted the economy. The study employed the Ordinary Least Square (OLS) method in its analysis. Co-integration and Error Correction Techniques were used to establish the Short-run and Long-run relationships between economic growth and other relevant economic indicators. The result revealed that exchange rate management proxy by various exchange rates regimes in Nigeria was not germane to economic growth. Rather, government expenditure, inflation rate, money supply and foreign direct investment significantly impact on economic growth in Nigeria. It is against this backdrop that the Nigerian economy must diversify her export base to create room for more inflow of foreign exchange.  

scholarly journals Trade Balance and Exchange Rate in Thailand & the Implications for Vietnam: An Application using Instrumental Variable and the Heterogeneous Panel Cointegration Methods

2016 ◽  
Vol 23 (01) ◽  
pp. 137-160
Author(s):  
Anh Vo The ◽  
Duc Vo Hong
Keyword(s):  
Exchange Rate ◽  
Trade Balance ◽  
Panel Cointegration ◽  
Least Square ◽  
Monetary Policies ◽  
Ordinary Least Square ◽  
Long Run ◽  
Trading Partners ◽  
The Exchange Rate ◽  
Heterogeneous Panel

This study aims to investigate the link of trade balance and exchange rate for the case of Thailand in different aspects by initially attempting to examine what factors determine the trade balance in Thailand and then to test the long-run relationship between the exchange rate and Thailand’s trade balance. The empirical findings indicate that the exchange rate and relative growth rate of income play central roles in explaining Thailand’s trade balance, and fiscal and monetary policies are beneficial in some cases. Additionally, panel fully modified ordinary least square (FMOLS) estimations illustrate that a devaluation of Thailand Baht offers a significantly positive improvement on its trade balance in the long run, especially for the groups of countries with upper middle and high income in America and Europe. Individual FMOLS regressions of Thailand’s trade balance and each of its 62 trading partners suggest that a devaluation of Thailand’s currency would stimulate Thailand’s trade performance with over 20 trading partners, but hurt its performance with the other 10 countries and be inconclusive to the others.

scholarly journals PENGARUH PRODUK DOMESTIK BRUTO DAN SBI TERHADAP PENERIMAAN PAJAK DI INDONESIA

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Rahmanta Ginting
Keyword(s):  
Time Series ◽  
Research Result ◽  
Least Square ◽  
Domestic Product ◽  
Tax Revenue ◽  
Ordinary Least Square ◽  
Independent Variables ◽  
Dependent Variables ◽  
Negative Effect ◽  
Positive Effect

The research to analyse effect net domestic product and SBI on tax revenue in Indonesia with independent variables  net domestic product and SBI also dependent variables tax revenue. Data is a time series between 1981 - 2010 with ordinary least square (OLS) and the model of formula used is multiply linier regression.  The research result shows that net domestic product gives a positive effect and significant on tax revenue in Indonesia on 99% level. While SBI has a negative effect and significant on tax revenue in Indonesia on 90% level.

Panel Data Analysis of Financial Development, Trade Openness, and Economic Growth: Evidence from BRICS Countries

2018 ◽  
Vol 4 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Ritu Rani ◽  
Naresh Kumar
Keyword(s):  
Economic Growth ◽  
Trade Openness ◽  
Panel Cointegration ◽  
Least Square ◽  
Cointegration Test ◽  
Ordinary Least Square ◽  
Brics Countries ◽  
Long Run ◽  
Panel Granger Causality ◽  
Panel Cointegration Test

The purpose of this article is to investigate the possible cointegration and direction of causality between foreign direct investment (FDI) inflow, trade openness, and economic growth in BRICS countries using panel data from 1993 to 2015. Besides these variables, money supply and domestic credit (DC) to private players are also added in the model to examine the impact of financial openness on economic growth. The Pedroni’s panel cointegration test is used to examine the existence of long-run relationship, and coefficients of cointegration are examined by fully modified ordinary least square (FMOLS) and dynamic ordinary least square (DOLS). Further panel Granger causality test is used to examine the direction of causality among the competing variables. The results of Pedroni’s panel cointegration test indicate that there exists a long-run relationship among the variables under considerations in BRICS countries. The coefficient of FMOLS and DOLS indicates that trade openness has a positive impact on economic growth in BRICS countries while FDI inflow has a negative impact in these nations. In addition, the results of panel Granger causality confirmed bidirectional causality between FDI inflow and economic growth in the short run. The study recommends that BRICS countries should liberalize trade openness as it strengthens the position of member countries in the world economy.

scholarly journals Identification of the Long-Run Determinants of U.S.-Canada Softwood Lumber Trade

2017 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
Zara Liaqat ◽  
Xinya Wang
Keyword(s):  
Exchange Rate ◽  
The United States ◽  
Least Square ◽  
Price Ratio ◽  
Impulse Response Functions ◽  
Ordinary Least Square ◽  
Softwood Lumber ◽  
Long Run ◽  
Highly Sensitive ◽  
Exchange Rate Movements

This paper uses monthly data from 1994 to 2016 in order to analyze the time series properties of the determinants of Canadian softwood lumber exports to the United States. The key findings generally support the hypotheses of previous studies with the exception of the significance of bilateral exchange rate movements. Based on dynamic ordinary least square estimates and several robust cointegraton tests, the paper finds that the estimated coefficients of exchange rate, softwood lumber price ratio and the two softwood lumber trade agreements are highly sensitive to the lag order used in econometric models. On the other hand, the coefficient of housing starts index remains independent of the variation in number of lags included. In addition, we study the long-run response of Canadian exports of lumber to shocks in these determinants by generating impulse response functions.

scholarly journals Impact of Trade Openness and Human Capital on Economic Growth: A Comparative Investigation of Asian Countries

2020 ◽  
Vol 12 (7) ◽  
pp. 2930 ◽  
Author(s):  
Rabail Amna Intisar ◽  
Muhammad Rizwan Yaseen ◽  
Rakhshanda Kousar ◽  
Muhammad Usman ◽  
Muhammad Sohail Amjad Makhdum
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Negative Impact ◽  
Trade Openness ◽  
Least Square ◽  
Ordinary Least Square ◽  
Southern Asia ◽  
Long Run ◽  
Western Asia ◽  
The Impact

The aim of this study is to analyze the impact of trade openness and human capital on economic growth in 19 Asian countries from 1985 to 2017. We selected two geographically distributed regions (Western and Southern Asia) based on difference in their GDP per capita. We applied the unit root tests to examine the level of stationarity and found that all variables were integrated at first difference. Kao and Fisher cointegration tests were employed and the results revealed the presence of a long-run relationship. We applied fully modified ordinary least square (FMOLS) and dynamic ordinary least square (DOLS) models to check the magnitude of the long-run coefficients among trade openness, human capital and economic growth. To investigate the direction of causality, we used a Dumitrescu and Hurlin (DH) causality test. The results indicated that trade openness and human capital have a significant and positive relationship while labor force participation has a negative effect on economic growth in Southern Asia, and in the case of Western Asia, the impact is positive. Foreign direct investment (FDI) has a negative and significant impact on GDP per capita (GDPPC) in Western Asia while it is positive and significant in Southern Asia; Total population (TPOP) has a negative impact on GDPPC in both regions. Furthermore, human capital has a positive and significant impact on trade openness in both panels. Meanwhile, labor force participation (LFP) has a positive and significant impact on trade openness in Southern Asia and a negative impact in the case of Western Asia. Trade openness and economic growth have bidirectional causality in Western Asia and unidirectional causality in Southern Asia. It also shows that human capital and economic growth have unidirectional causality in both regions.

scholarly journals BANK CONCENTRATION AND NON-PERFORMING LOANS IN CENTRAL AND EASTERN EUROPEAN COUNTRIES

2014 ◽  
Vol 16 (1) ◽  
pp. 117-137 ◽  
Author(s):  
Atilla Çifter
Keyword(s):  
Least Square ◽  
Eastern European ◽  
Data Set ◽  
Ordinary Least Square ◽  
Long Run ◽  
Additional Control ◽  
Short Run ◽  
Generalised Method Of Moments ◽  
Eastern European Countries ◽  
Bank Concentration

This paper examines the effect of bank concentration on the non-performing loans (NPLs) for ten Central and Eastern European (CEE) countries. The short-run effect of bank concentration is tested with the generalised method of moments system and the instrumental variable approaches, and the long-run effect is tested with the fully modified ordinary least square (FMOLS) approach. The empirical analysis shows that the bank concentration is an insignificant factor on the NPLs, either in the short or in the long-run of the panel data set. On the other hand, individual FMOLS results reveal that the bank concentration reduces the NPLs in Estonia, Latvia, and Slovakia, and increases the NPLs in Bulgaria, Croatia, Lithuania, Poland, and Slovenia in the long-run. According to this evidence, the bank concentration does not reduce the credit risk for all of the CEE countries. Therefore, bank concentration may not affect systemic stability in the CEE countries. These findings are also robust in controlling several factors, including additional control variables. As a result, the relationship between the bank concentration and the NPLs, in regards to the CEE countries, is ambiguous.

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