Tax revenue and economic growth in developing country: an autoregressive distribution lags approach

2020 ◽  
Vol 7 (54) ◽  
pp. 205-217
Author(s):  
Mnaku Honest Maganya
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Testing Procedure ◽  
Gdp Growth ◽  
Bounds Testing ◽  
Causality Test ◽  
Significance Level ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
The Government

AbstractTanzania, like most other developing countries, faces numerous economic challenges in striving to achieve sustainable economic growth and development through taxation. In the literature, the debate on how effective taxes are as a tool for promoting economic growth and economic development remains inconclusive, as various research have reported mixed effects of tax on economic growth. This article investigates the effect of taxation on economic growth in Tanzania using the recently developed technique of autoregressive distributed lag model (ARDL) bounds testing procedure for the period from 1996 to 2019. Various preliminary tests were conducted including stationary tests as well as the pair-wise Granger causality test. According to the results obtained, domestic goods and services (TGS) taxes are positively related to GDP growth and are statistically significant at 1% level. Income taxes, on the other hand, were found to be negatively related to GDP growth and to be statistically significant at 5% level. The pair-wise Granger causality results indicated that there is bidirectional Granger causality between TGS and GDP growth at 1 % significance level. The government should aim at growing, nurturing and sustaining tax base to positively drive economic growth even further.

scholarly journals Government Spending and Economic Growth in Ghana: Evidence from Granger Causality Analysis

2017 ◽  
Vol 3 (2) ◽  
pp. 50-58 ◽  
Author(s):  
Lucy Anning ◽  
Wang Haisu ◽  
Joshua Sunday Riti
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Government Spending ◽  
Causality Analysis ◽  
Economic Activities ◽  
Bounds Testing ◽  
Causality Test ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run

In spite of the diverse major issues affecting the economy of Ghana over the years, the economy continues to experience a downward spiral in its economic growth. Taking into account three opining views regarding government spending and economic growth, this study sets to investigate the causal nexus fractious and economic growth in Ghana. We apply the autoregressive distributed lag (ARDL) bounds testing approach to co-integration and the vector error correction model (VECM)-Granger causality test to evaluate both long- and short-run parameters including the direction of causation with data spanning from 1980 and 2015.The empirical results show evidence of co-integration for the existence of a long-run relationship between the dependent and independent variables. The Granger causality tests, in addition, indicated causal independence between government spending and economic growth within the time framework of the study in the economy of Ghana. Government spending has a cause effect on economic growth in Ghana. However, government spending channeled into a more fractious use with the building of resilience and infrastructural development that are self-liquidating if encouraged will enhance economic activities in the short run and also propel growth in the long run in the Ghana.

scholarly journals The Causal Nexus Between Foreign Direct Investment and Economic Growth in Indonesia: An Autoregressive Distributed Lag Bounds Testing Approach

2021 ◽  
Author(s):  
Olivia Tanaya ◽  
Suyanto Suyanto
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Granger Causality ◽  
Direct Investment ◽  
Granger Causality Test ◽  
Bounds Testing ◽  
Causality Test ◽  
Distributed Lag ◽  
Short Run ◽  
Causal Nexus

The nexus between foreign direct investment and economic growth has long been among the most debated issues in macroeconomics. Some studies find a positive link between the two factors, but others find no evidence. This current research fills the gap by analysing the causal nexus between foreign direct investment and economic growth in Indonesia for the period 1970-2018. Indonesia as a developing country is one of the largest recipients of FDI flow; hence the study on the impact of FDI on the economic growth is very much important. This current research employs a contemporary time-series procedure, involving several unit-root tests namely Augmented-Dickey-Fuller (ADF), Phillips-Perron (PP), Kwiatkowski-Phillips-Schmidt-Shin (KPSS), and Lee-Strazicich (LS), an Auto-Regressive-Distributed-Lag (ARDL) bounds-testing method for cointegration, and Granger causality test. The findings provide evidence of long-run and short-run causal direction from GDP to FDI. In contrast, FDI generates only a short-run relationship on GDP. The Granger causality test confirms the finding in ARDL that there is a unidirectional causality running from GDP to FDI.

The relationship between financial development and economic growth in Eswatini (formerly Swaziland)

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Siphe-okuhle Fakudze ◽  
Asrat Tsegaye ◽  
Kin Sibanda
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Financial Development ◽  
Granger Causality Test ◽  
Causality Test ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
The Relationship

PurposeThe paper examined the relationship between financial development and economic growth for the period 1996 to 2018 in Eswatini.Design/methodology/approachThe Autoregressive Distributed Lag bounds test (ARDL) was employed to determine the long-run and short-run dynamics of the link between the variables of interest. The Granger causality test was also performed to establish the direction of causality between financial development and economic growth.FindingsThe ARDL results revealed that there is a long-run relationship between financial development and economic growth. The Granger causality test revealed bidirectional causality between money supply and economic growth, and unidirectional causality running from economic growth to financial development. The results highlight that economic growth exerts a positive and significant influence on financial development, validating the demand following hypothesis in Eswatini.Practical implicationsPolicymakers should formulate policies that aims to engineer more economic growth. The policies should strike a balance between deploying funds necessary to stimulate investment and enhancing productivity in order to enliven economic growth in Eswatini.Originality/valueThe study investigates the finance-growth linkage using time series analysis. It determines the long-run and short-run dynamics of this relationship and examines the Granger causality outcomes.

ANALYSIS OF THE RELATIONSHIP BETWEEN ECONOMIC GROWTH, INFLATION AND UNEMPLOYMENT IN TURKEY WITH THE ARDL BOUNDS TESTING APPROACH

2021 ◽  
Vol 6 (15) ◽  
pp. 299-312
Author(s):  
Özlem KARADAĞ AK
Keyword(s):  
Economic Growth ◽  
Industrial Production ◽  
Consumer Price Index ◽  
Bounds Testing ◽  
Short Term ◽  
Production Index ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Industrial Production Index ◽  
Cointegration Relationship

The aim of this study is to examine the effects of economic growth and inflation on unemployment for the period 2005:1- 2020:9 in Turkey by using ARDL (Auto Regressive Distributed Lag) model. In the study, firstly unit root tests were carried out to determine whether economic growth (ind) and inflation (cpi) have long and short-term effects on unemployment (unemp). Then, the ARDL method was used to determine whether there is a long-term relationship between the series in the model where the unemployment rate is the dependent variable, the Industrial Production Index representing economic growth and the Consumer Price Index (CPI) representing inflation. Instead of GDP, the Industrial Production Index was preferred both to harmonize with the monthly data and to make a production-based analysis. As a result of the analysis, it was determined that there was a statistically significant cointegration relationship between the variables, and the short-term relationship was analyzed with the error correction model (ECM). As a result of the analysis, it has been determined that there is a cointegration relationship between unemployment, inflation rate and economic growth in Turkey. According to the results of the analysis, negative between unemployment and industrial production index; It is seen that there is a positive relationship between unemployment and inflation.

scholarly journals The impact of education tax and investment in human capital on economic growth in Nigeria

2020 ◽  
Vol 3 (2) ◽  
pp. 77-86
Author(s):  
Abubakar Aminu ◽  
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Tertiary Education ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Long Run ◽  
Lag Model ◽  
The Government ◽  
Capital Development ◽  
The Impact

This paper investigated the impact of education tax and investment in human capital on economic growth in Nigeria utilizing the Non-Linear Autoregressive Distributed Lag Model of cointegration covering the period of 25 years from 1995 to 2019. The findings reveal that education tax and investment in human capital have positive and significant effect on the growth of the Nigerian economy over the sampled period. The paper recommends that in order to boost the economy, Nigeria would need to, among other policy frameworks, provide a suitable environment for ensuring macro-economic stability through effective utilization of income from education tax that will encourage increased investment in human capital in the public sector. In addition to income from education tax, for effective and speedy economic growth and development in Nigeria, the government, beneficiaries (students/parents), employers of labor and other stakeholders in the society should share the responsibility for financing primary, secondary and tertiary education, so as to provide a solid foundation for human capital development. However, as revealed in this paper, the contribution of education tax and investment in human capital is most likely to be realized over a long-run period than in the short term. Keywords: Education Tax; Investment; Human capital; Economic growth

scholarly journals Bounds Testing Approach to Cointegration: A Re-examination of FDI and Growth in Vietnam

2013 ◽  
Vol 218 ◽  
pp. 94-113
Author(s):  
ANH PHẠM THẾ ◽  
ĐÀO NGUYỄN THỊ HỒNG
Keyword(s):  
Economic Growth ◽  
Small Sample Size ◽  
Small Sample ◽  
Adjustment Process ◽  
Bounds Testing ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Long Run ◽  
Short Run ◽  
Lag Model

This study examines the econometric and empirical evidence of both causal and long-run relationship between foreign direct investment (FDI) and economic growth in Vietnam, covering a time span of 21 years from 1991 to 2012. The recent and robust methodology of bounds testing or autoregressive distributed lag model (ARDL) approach to Cointegration is employed for the empirical analysis. This technique can capture both short-run and long-run dynamics of variables, particularly in small sample size cases. The findings indicate the existence of a Cointegration relationship between the two time series and a modest adjustment process from short-run to long-run equilibrium. Further results from Granger causality tests conducted within the error correction model confirm a bi-directional causality between economic growth and FDI over the study period.

scholarly journals Revisit coal consumption, CO2 emissions and economic growth nexus in China and India using a newly developed bootstrap ARDL bound test

2017 ◽  
Vol 36 (3) ◽  
pp. 450-463 ◽  
Author(s):  
Feng-Li Lin ◽  
Roula Inglesi-Lotz ◽  
Tsangyao Chang
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Policy Implications ◽  
Coal Consumption ◽  
Causality Test ◽  
Ardl Model ◽  
Empirical Results ◽  
China And India ◽  
The Government ◽  
Bound Test

This study revisits coal consumption, CO2 emissions and economic growth nexus for both China and India using a newly developed Bootstrap ARDL model over the period of 1969–2015. Empirical results indicate no long-run relationship among these three variables for both China and India, and Granger causality test based on Bootstrap ARDL model indicates a feedback between coal consumption and economic growth, between economic growth and CO2 emissions and between coal consumption and CO2 emissions in China. However, we find a one-way Granger causality running from coal consumption to economic growth and the feedback hypothesis is confirmed between economic growth and CO2 emissions and between coal consumption and CO2 emissions in India. The coefficients signal that coal consumption is an important factor towards the promotion economic growth in both China and India. For China, higher economic growth reduces CO2 emissions, while for India, it further increases CO2 emissions. Our empirical results have important policy implications for the government conducting effective energy polices to promote economic growth in both China and India.

scholarly journals The Link Between Economic Growth, Crime and Deterrence Measures in Nigeria

2016 ◽  
Vol 26 (4) ◽  
pp. 24-40
Author(s):  
Adenuga Fabian Adekoya ◽  
Nor Azam Abdul Razak
Keyword(s):  
Economic Growth ◽  
Rational Choice Theory ◽  
Choice Theory ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Autoregressive Distributed Lag ◽  
Cost Of Crime ◽  
Lag Model ◽  
The Government ◽  
The Cost

Abstract The level of crime in Nigeria has become devastating and in order to put more sanity into the economy and the country at large, the Government has embarked on different deterrence measures in curbing crime. Thus, this study examined the interaction of deterrence measures with crime in order to see how economic growth was affected when they were used in curbing crime at different instances. That is, the interaction of deterrence measures with crime informed us how they have helped in lowering crime in Nigeria for a better economic growth to subsist. The deterrence measures considered in this work are in line with the rational choice theory being the cost of crime imposed on the society. Furthermore, this study considered data from 1975 to 2013 with the use of autoregressive distributed lag model. Moreover, the results showed that crime dependency on deterrence measures asymmetrically constituted means of lowering economic growth in the country. Hence, this study suggested that prosecution should be well funded and in order to curb crime and improve economic growth in Nigeria. That is, this would afford the country to reduce the congestion of prison inmates and thus, it would discourage long waiting trials.

scholarly journals Primary School Enrolment, Public Spending on Education and Economic Growth in Nigeria

2021 ◽  
Vol 12 (5) ◽  
pp. 103
Author(s):  
Simeon Gbimoiye Nenbee ◽  
Igbogidi Eseoghene Danielle
Keyword(s):  
Economic Growth ◽  
Primary School ◽  
Basic Education ◽  
Economic Incentive ◽  
Instructional Materials ◽  
School Enrolment ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Long Run ◽  
The Government

This paper investigates the effect of primary school enrolment and public education spending on Nigeria’s economic growth using the Autoregressive distributed lag model (ARDL) for the period 1987 and 2017. The coefficient of the error correction model (ECM) reveals a negative sign of -0.304216 which implies that any disequilibrium in the system in the previous year will be corrected at a speed of 30.42 percent annually. Both the short run and long run models were nicely fitted with high coefficients of determination (R2) of about 62 percent.  The analysis of the result also showed that primary school enrolment rate and public expenditure on education increased but their effects were less impactful on Nigeria’s economic growth. These findings perhaps could be attributed to the poor state of classrooms across, poor teacher-pupil ratio, unstable macroeconomic environment, dearth of instructional materials and more. The paper thus recommend that there should be re-design of  educational strategies by the government to include enrolment campaigns, alternative learning programs, pro-poor economic incentive and more, especially at the basic education level and also increased her  budgetary allocation to education sector  in line with UNESCO recommendation of about 26 percent.   Received: 9 June 2021 / Accepted: 28 September 2021 / Published: 5 September 2021

scholarly journals Modelling the Temporal Effect of Terrorism on Tourism in Kenya

2016 ◽  
Vol 8 (12) ◽  
pp. 10 ◽  
Author(s):  
Brian K. Masinde ◽  
Steven Buigut ◽  
Joseph K. Mung'atu
Keyword(s):  
Testing Procedure ◽  
Tourism Industry ◽  
Bounds Testing ◽  
Causality Test ◽  
Vector Error Correction ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Long Run Equilibrium

<p>Terrorist attacks have escalated over the recent years in Kenya, with adverse effects on the tourism industry. This study aims to establish if a long-run equilibrium exists between terrorism and tourism in Kenya between the years 1994 and 2014. To reinforce the robustness of the results, both Autoregressive Distributed Lag (ARDL) bounds testing and the Vector Error Correction Model (VECM) techniques are used to investigate the problem. A Granger causality test is also carried out to ascertain the direction of the relationship if one exists. The evidence from ARDL and the VECM testing procedure suggest that there is no long-run equilibrium between terrorism and tourism in Kenya. Terrorism does not Granger cause tourism and vice versa. However, short-run effect indicates that terrorism negatively and significantly affects tourism.</p>

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