External Debt and Economic Growth Nexus: Empirical Evidence From Nigeria

2020 ◽  
Vol 65 (2) ◽  
pp. 330-343
Author(s):  
Sylvester Ohiomu
Keyword(s):  
Economic Growth ◽  
External Debt ◽  
Unit Root Test ◽  
Jel Classification ◽  
Debt Management ◽  
Management Policy ◽  
Bounds Testing ◽  
Debt Overhang ◽  
Distributed Lag ◽  
Long Run

This study models external debt and economic growth nexus for policy analysis on public finance and public debt management. The work uses the methodology of group unit root test, auto-regressive distributed lag (ARDL) bounds testing, and co-integrating long-run tests for robust policy recommendations. The results showed that the debt overhang variable (D_Y) and crowding-out effect variable (DS_X) depress the level of investment. This adversely affects economic growth in Nigeria. The study recommends that Nigeria should embark on strict debt management policy, pursue effective debt reduction strategies, and improve investment drives for economic expansion and sustainable development. JEL Classification: C22, C51, E27, H63, H81

Transport Infrastructure and Economic Growth: New Evidence from Tunisia an ARDL Bounds Testing Approach

2017 ◽  
Vol 9 (2) ◽  
pp. 98-112
Author(s):  
Radhia Amairia ◽  
Bouzid Amaira
Keyword(s):  
Economic Growth ◽  
Jel Classification ◽  
Transport Infrastructure ◽  
Annual Data ◽  
Positive Contribution ◽  
Bounds Testing ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Long Run ◽  
Lag Model

The achievement of an effective infrastructure, reliable and fair, is essential for economic growth. Indeed, the transport infrastructure is essential to the prosperity of regions. To investigate the relationship between transport infrastructure and economic growth, we use the autoregressive distributed lag model (ARDL), we find that transport infrastructure is cointegrated with economic performance, indicating the affirmed presence of long-run equilibrium relationships among them. We use annual data for the period from 1980 to 2013. The study found that the transport infrastructure and investment in transport infrastructure in Tunisia have a significant positive contribution to growth, which shows that each impact is strong and statistically significant. The Tunisian experience suggests that it is necessary to design an economic policy that will improve the transport infrastructure and to increase investment made to the sector for sustainable economic growth in Tunisia. It is necessary to improve the existing road and rail networks. JEL Classification: F63, L91, R41

Resolving Revenue Allocation Challenges in Nigeria: Implications for Sustainable National Development

2018 ◽  
Vol 64 (1) ◽  
pp. 142-153 ◽  
Author(s):  
Sylvester Ohiomu ◽  
Sunday Ade Oluyemi
Keyword(s):  
Unit Root Test ◽  
National Development ◽  
Jel Classification ◽  
Bounds Testing ◽  
Distributed Lag ◽  
Oil Revenue ◽  
Long Run ◽  
Revenue Allocation ◽  
Grass Root ◽  
Auto Regressive

This study examines the structure and formula for revenue allocation in Nigeria which has been fraught with challenges, proffers solution, and highlights its implications for sustainable national development. The work uses the methodology of Group Unit Root Test, auto regressive distributed lag (ARDL) Bounds Testing and Cointegrating Long Run tests for robust policy recommendations. Using the Gross Domestic Product as the dependent variable and revenue allocation to the three levels of government, and oil revenue as the independent variables, the results from the study show that revenue allocations and the other variables have significant relationship with economic growth in Nigeria. Based on our findings, the study recommends among others that the current revenue allocation formula should be reviewed to embrace autonomy in its entirety to achieve national goals and objectives. Various levels of government should be adequately funded to enable it carry out its expenditure responsibilities to accelerate grass root development. JEL classification: C22, C32, C58

scholarly journals The Debt Overhang Hypothesis: Evidence from Pakistan

2016 ◽  
Vol 11 (1) ◽  
pp. 140-151 ◽  
Author(s):  
Muhammad Imran Shah ◽  
Irfan Ullah ◽  
Zia Ur Rahman ◽  
Nadeem Jan
Keyword(s):  
Economic Growth ◽  
Dynamic Behaviour ◽  
Negative Impact ◽  
Labour Force ◽  
External Debt ◽  
Unit Roots ◽  
Debt Overhang ◽  
Debt Burden ◽  
Long Run ◽  
Domestic Labour

AbstractThis study investigates the debt overhang hypothesis for Pakistan in the period 1960-2007. The study examines empirically the dynamic behaviour of GDP, debt services, the employed labour force and investment using the time series concepts of unit roots, cointegration, error correlation and causality. Our findings suggest that debt-servicing has a negative impact on the productivity of both labour and capital, and that in turn has adversely affected economic growth. By severely constraining the ability of the country to service debt, this lends support to the debt-overhang hypothesis in Pakistan. The long run relation between debt services and economic growth implies that future increases in output will drain away in form of high debt service payments to lender country as external debt acts like a tax on output. More specifically, foreign creditors will benefit more from the rise in productivity than will domestic producers and labour. This suggests that domestic labour and capital are the ultimate losers from this heavy debt burden.

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 Foreign Trade and Economic Growth: Evidence of Thirlwall’s Law in Iran

2011 ◽  
Vol 2 (2) ◽  
pp. 81-88
Author(s):  
Ahmad Jafari Samimi ◽  
Ramezan Hosseinzadeh .
Keyword(s):  
Economic Growth ◽  
Foreign Trade ◽  
Growth Rates ◽  
Income Elasticity ◽  
Relative Price ◽  
Bounds Testing ◽  
Distributed Lag ◽  
Long Run ◽  
Oil Export ◽  
Actual Growth

Thirlwall’s law establishes a relation between the long-run growth rate, the growth of exports and the long-run income elasticity of imports. This paper applies Thirlwall’s basic balance-of-payments constraint growth model to Iranian economic growth for the period of 1971-2007 by using Autoregressive Distributed Lag (ARDL) Bounds Testing approach. The empirical results reveal that import is cointegrated with relative price and income, and the equilibrium growth rates coincide with actual growth rates. However, our estimated findings reveal that the Thirlwall’s law has been rejected in Iran. In other words, balance of payment doesn’t hinder economic growth in this country. The reason may be due to the fact that Iran is a member of OPEC and its oil export plays a significance role in the country’s foreign trade.

scholarly journals Public Debt and Economic Growth in Niger: An Autoregressive Distributed Lag Approach

2020 ◽  
Vol 1 (2) ◽  
pp. 56-65
Author(s):  
Issoufou Oumarou
Keyword(s):  
Economic Growth ◽  
Public Debt ◽  
Unit Root Test ◽  
Annual Data ◽  
African Countries ◽  
Policy Makers ◽  
Significance Level ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run

Purpose: The aim of the paper is to examine the existence or not of a long run or a short run relationship between public debt and economic in Niger and investigate the significance of this relationship. Approach/Methodology/Design: The study first applied time series econometrics tests such as Augmented Dickey-Fuller (ADF) unit root test, Bound cointegration test and Auto Regressive Distributed Lag (ARDL) on annual data obtained from the International monetary fund (IMF) and the West African States Central Bank (BCEAO). The observations cover the period from 1970 to 2019. The study then performed some residual tests including serial correlation, normality and heteroskedasticity for the accuracy of the prediction of the model. Findings: The empirical results showed no long run relationship between public debt and economic growth in Niger. The short run analysis revealed that public debt and budget balance have short run causal effects on economic growth in Niger. The coefficients are significant at 10% significance level. Practical Implications: This article gives valuable information to Niger policy makers regarding the effects of public debt on Niger economic growth. The article highlights the effects that public debt has on economic growth in Niger in the short and long run. Therefore helping policy makers decide whether to increase or reduce the borrowing trend. Originality/value: The results of the paper give valuable information on the relationship that public debt may have with economic growth in Sub Saharan African countries with the similar macroeconomic indicators with Niger.

scholarly journals Determinants of Indonesia’s National Income: An Auto-Regressive Distributed Lag Analysis

2020 ◽  
Vol 9 (2) ◽  
pp. 207-218
Author(s):  
Prihartini Budi Astuti ◽  
Nur Khasanah
Keyword(s):  
Economic Growth ◽  
Aggregate Demand ◽  
Government Expenditure ◽  
National Income ◽  
The United States ◽  
Jel Classification ◽  
Distributed Lag ◽  
Long Run ◽  
Auto Regressive ◽  
The Government

At the end of 2019, most countries experienced an economic slowdown due to a trade war between the United States and China. According to macroeconomic theory, aggregate demand is one of the factors that influence economic growth. This study aims to add the debate and fill the gap by studying the relationship between aggregate demand and economic growth in the case of Indonesia. Using an Auto-Regressive Distributed Lag analysis, the results indicate that in the long-run, household consumption and investment had a positive effect on Indonesia's national income in 2010-2019. It means that the government must continue to make policies to maintain the purchasing power of Indonesian consumers, so that public consumption remains high, and maintaining the investment climate to be more conducive. On the other hand, government expenditure and net exports variables have no impact on Indonesia's national income in 2010-2019.JEL Classification: E01, E12, O47How to Cite:Astuti, P. B., & Khasanah, N. (2020). Determinants of Indonesia’s National Income: An Auto-Regressive Distributed Lag Analysis. Signifikan: Jurnal Ilmu Ekonomi, 9(2), 207-218. https://doi.org/10.15408/sjie.v9i2.14469.

scholarly journals Do financial systems spur economic growth in the USA? An empirical investigation

2019 ◽  
Vol 66 (2) ◽  
pp. 165-185
Author(s):  
Sheilla Nyasha ◽  
N.M. Odhiambo
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Positive Impact ◽  
The United States ◽  
Bounds Testing ◽  
Financial Systems ◽  
Development Indicators ◽  
Distributed Lag ◽  
Long Run ◽  
The Usa

In this paper, we use the autoregressive distributed lag (ARDL) bounds testing approach to examine the dynamic impact of both bank-based financial development and market-based financial development on economic growth in the United States of America (USA) during the period 1980 to 2012. In order to adequately capture the depth and width of the USA?s financial system, we used both bank-based and marketbased financial development indices as proxies for bank-based and market-based financial systems. These indices were constructed from a number of bank- and market-based financial development indicators, using the method of means-removed average. Our empirical results reveal that both bank-based and market-based financial development have a positive impact on economic growth in the USA. These results apply irrespective of whether the regression analysis is conducted in the long run or in the short run. We, therefore, recommend that both pro-bank-based and pro-market-based financial sector development policies should be pursued in the USA - in order to bolster real sector growth and economic development.

Electricity Consumption–Economic Growth Nexus: Evidence from ARDL Bound Testing Approach in the Tunisian Context

2020 ◽  
pp. 097215092092543 ◽  
Author(s):  
Zouheir Mighri ◽  
Hanen Ragoubi
Keyword(s):  
Economic Growth ◽  
Electricity Consumption ◽  
Bounds Testing ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Causality Tests ◽  
Short Run ◽  
Testing Approach ◽  
Causal Nexus

This article investigates the causal nexus between electricity consumption and economic growth in Tunisia for the period 1971–2013 by using autoregressive distributed lag (ARDL) bounds testing approach of cointegration and Granger causality tests. The empirical findings indicate the existence of a long-term relationship between electricity consumption and economic growth. Besides, they support the conservation hypothesis in the long run, while they confirm the growth hypothesis in the short run.

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.

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