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.

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.

scholarly journals Renewable Energy Consumption and Economic Growth in Nine OECD Countries: Bounds Test Approach and Causality Analysis

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Lin Hung-Pin
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Oecd Countries ◽  
Causality Analysis ◽  
Bounds Testing ◽  
Renewable Energy Consumption ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Vector Error Correction Models

The purpose of this paper is to investigate the short-run and long-run causality between renewable energy (RE) consumption and economic growth (EG) in nine OECD countries from the period between 1982 and 2011. To examine the linkage, this paper uses the autoregressive distributed lag (ARDL) bounds testing approach of cointegration test and vector error-correction models to test the causal relationship between variables. The co-integration and causal relationships are found in five countries—United States of America (USA), Japan, Germany, Italy, and United Kingdom (UK). The overall results indicate that (1) a short-run unidirectional causality runs from EG to RE in Italy and UK; (2) long-run unidirectional causalities run from RE to EG for Germany, Italy, and UK; (3) a long-run unidirectional causality runs from EG to RE in USA, and Japan; (4) both long-run and strong unidirectional causalities run from RE to EG for Germany and UK; and (5) Finally, both long-run and strong unidirectional causalities run from EG to RE in only USA. Further evidence reveals that policies for renewable energy conservation may have no impact on economic growth in France, Denmark, Portugal, and Spain.

scholarly journals Democracy and Growth Nexus in Indonesia

2020 ◽  
Vol 20 (2) ◽  
pp. 208-221
Author(s):  
Azwar Iskandar ◽  
Achmat Subekan
Keyword(s):  
Economic Growth ◽  
Least Squares ◽  
Granger Causality ◽  
Control Variable ◽  
Political Stability ◽  
Ordinary Least Squares ◽  
Causality Test ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run

The objective of this study is to analyze the causality between democracy and economic growth in Indonesia for the period of 1995 to 2017. More specifically, this paper  also attends to investigate the existence of a long-run relationship between them. This study perform a multivariate cointegration test with political stability as a control variable and cross-check this long-run relationship with an autoregressive distributed lag (ARDL) model approach to cointegration. This study also use the Granger causality test within a vector error correction model (VECM) framework and estimate three different models using a non-linear specification: Ordinary Least Squares (OLS) estimation, Fully Modified OLS (FM-OLS) and Dynamic Ordinary Least Squares (DOLS). The results show cointegration among the variables specified in the model when political stability is taken into account. Indeed, for economic growth and democracy to move together in the long run, they need to be associated with political stability. The tests for Granger causality conducted show a long-run causality running from GDP and political stability to democracy. In other word, the economic growth and political stability Granger cause democracy. It is the economic performance that influences democracy and not the reverse. In short-run, there is neutrality causation between democracy and growth, democracy and political stability, growth and political stability. These results suggest that economic growth through strong institutions is a precondition for democratization.

scholarly journals Causality Between Public Debt, Public Debt Service and Economic Growth in an Emerging Economy

2020 ◽  
Vol 65 (1) ◽  
pp. 1-19
Author(s):  
Talknice Saungweme ◽  
Nicholas M. Odhiambo
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Public Debt ◽  
Debt Service ◽  
Bounds Testing ◽  
Causality Test ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run

AbstractThis paper explores the causality between public debt, public debt service and economic growth in South Africa covering the period 1970 – 2017. The study employs the autoregressive distributed lag (ARDL) bounds testing approach to cointegration and the multivariate Granger-causality test. The empirical results indicate that there is unidirectional causality from economic growth to public debt, but only in the short run. However, the study fails to establish any causality between public debt service and economic growth, both in the short run and long run. In line with the empirical evidence, the study concludes that it is economic growth that drives public debt in South Africa, and that the causal relationship between public debt and economic growth is sensitive to the timeframe considered. The paper recommends policymakers in South Africa to consider growth-enhancing policies in the short run, since poor economic performances may lead to high public debt levels.

scholarly journals Electricity Consumption and Economic Growth in Jordan: Bounds Testing Cointegration Approach

2016 ◽  
Vol 12 (1) ◽  
pp. 429
Author(s):  
Al-Abdulrazag A. Bashier
Keyword(s):  
Economic Growth ◽  
Strong Support ◽  
Electricity Consumption ◽  
Bounds Testing ◽  
Causality Test ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Equilibrium Relationship ◽  
Short Run

The objective of this paper is to investigate the short-run and longrun causal relationships between electricity consumption and economic growth in Jordan between 1976 and 2013, utilizing the Autoregressive Distributed Lag (ARDL) model. Estimates revealed the existence of a longrun equilibrium relationship between the said variables. The VECM model results indicated a long-run, bidirectional causality between the two variables as seen from the negative and significant error correction terms. The results of Granger-Causality test within VECM disclosed a bidirectional weak and strong short-run causality between electricity consumptions per capita and economic growth. The estimation results provide a strong support for the feedback hypothesis in Jordan

Relationships between Financial Development, Trade Openness, and Economic Growth

2015 ◽  
pp. 183-196
Author(s):  
Fahri Seker ◽  
Murat Cetin ◽  
Birol Topcu ◽  
Gamze Yıldız Seren
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Financial Development ◽  
Trade Openness ◽  
Granger Causality Test ◽  
Bounds Testing ◽  
Causality Test ◽  
Vector Error Correction ◽  
Long Run ◽  
Short Run

The aim of this chapter is to investigate the cointegration and causal relationship between financial development, trade openness, and economic growth in Turkey for the period of 1980-2012. To analyze the data, the bounds testing and Johansen-Juselius approaches to cointegration and Granger causality test based on vector error-correction model are employed. The cointegration tests suggest that there is a long-run relationship between the variables. The Granger causality test reveals long-run bidirectional causality between trade openness and economic growth. The findings also indicate unidirectional causality running from financial development to trade openness and economic growth in the long run as well as a bi-directional causality between financial development and economic growth in the short run. The results support supply-leading and trade-led growth hypotheses. Therefore, it can be suggested that Turkey can accelerate its economic growth by improving its financial systems and encouraging foreign trade.

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.

Effect of Terms of Trade on Economic Growth of China

2018 ◽  
Vol 4 (2) ◽  
pp. 157-168 ◽  
Author(s):  
Khalil Jebran ◽  
Amjad Iqbal ◽  
Kalim-Ullah Bhat ◽  
Arshad Ali
Keyword(s):  
Economic Growth ◽  
Labor Force ◽  
Granger Causality ◽  
Variance Decomposition ◽  
Terms Of Trade ◽  
Causality Analysis ◽  
Causality Test ◽  
Ardl Model ◽  
Long Run ◽  
Short Run

This study investigates the effect of terms of trade (TOT) on the economic growth of China over the period 1980–2013. Autoregressive distributed lag (ARDL) model proposed by Pesaran, Shin, and Smith (2001, Journal of Applied Econometrics, 16(3), pp. 289–326) is applied for examining the short-run and long-run associations. The causality analysis between variables is analyzed by using Granger causality test and variance decomposition test. The ARDL model reveals that TOT significantly and adversely affect economic growth in the short run as well as in the long run. The results also imply positive short-run and long-run effect of labor and capital on the economic growth of China. The Granger causality results reveal significant bidirectional causal relationship between economic growth and capital, and between capital and labor force. The results show unidirectional causality from TOT to labor force. The variance decomposition results show that most of the innovation in economic growth is explained by its own innovation, while other variables have very small contributions to its innovations. The notable findings of the study suggest that TOT deterioration is relatively important for enhancing the economic growth of China.

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 Foreign Direct Investment, External Debt, and Balance of Payment: A Causality Analysis for Bangladesh

2020 ◽  
Author(s):  
Muhammad Mahmud Mostafa
Keyword(s):  
Foreign Direct Investment ◽  
Granger Causality ◽  
Direct Investment ◽  
Negative Impact ◽  
External Debt ◽  
Causality Analysis ◽  
Causality Test ◽  
Long Run ◽  
Significant Negative Impact ◽  
Short Run

The purpose of this study is to analyze the causal relationship of external debt and balance of payment with foreign direct investment (FDI) in Bangladesh for the period of 1980 to 2017 through the application of Johansen Cointegration technique, Vector Error Correction Model (VECM), and Granger Causality approach. Results of cointegration and VECM indicate a significant long-run relationship between dependent (FDI) and independent variables (external debt and balance of payment). External debt is found to have a significant negative impact on FDI in the long-run, but it is found insignificant in the short-run. In contrast, the balance of payment has a significant positive effect on FDI both in the long-run and short-run. Results of the Granger causality test reveal that there exists bidirectional short-run causality between the balance of payment and FDI; that is, both the balance of payment and FDI affect each other. But no unidirectional or bidirectional short-run causality is found between external debt and FDI. Keywords: FDI, external debt, balance of payment, cointegration, VECM, causality

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