scholarly journals Threshold Effects of Import Dependence on Economic Growth in Nigeria

2021 ◽  
Vol 15 (2) ◽  
pp. 198-219
Author(s):  
Oziengbe Scott AIGHEYISI
Keyword(s):  
Economic Growth ◽  
Least Squares ◽  
Threshold Model ◽  
Threshold Level ◽  
Ordinary Least Squares ◽  
Growth Effect ◽  
Series Data ◽  
Threshold Effects ◽  
Long Run ◽  
The Relationship

This study uses annual time series data spanning 1981–2018 to investigate the threshold effects of import dependence on economic growth in Nigeria. The ordinary least squares (OLS) and the fully modified OLS (FMOLS) techniques are employed for estimation of a quadratic regression model to determine the nature of the relationship between aggregate import dependence and economic growth. It is found that the relationship is concave, that is, it follows an inverted-U shape. The conditional least squares estimator is thereafter employed to estimate the threshold model specified to determine the threshold level of import dependence. The study finds a threshold level of 26% for aggregate import dependence. Below this threshold, import dependence positively affects economic growth; above the threshold, the growth effect of import dependence is adverse. Furthermore, it is found that the long-run growth effect of Inflation is adverse, and investment is favourable to long-run economic growth. Based on these findings, the paper recommends efforts by Nigeria’s government to reduce import dependence below the estimated threshold of 26%, control inflation and encourage investment so as to enhance the growth of the nation’s economy.

The Role of Urbanisation in the Economic Development Process: Evidence from Nigeria

2017 ◽  
Vol 11 (3) ◽  
pp. 223-255 ◽  
Author(s):  
Sakiru Adebola Solarin
Keyword(s):  
Economic Growth ◽  
Least Squares ◽  
Error Correction ◽  
Industrial Development ◽  
Ordinary Least Squares ◽  
Vector Error Correction ◽  
Vector Error ◽  
Long Run ◽  
Determinants Of Economic Growth ◽  
The Relationship

The aim of this article is to investigate the relationship between urbanisation and economic growth, while controlling for the agricultural sector, industrial development and government expenditure in Nigeria. The autoregressive distributed lag (ARDL) approach to cointegration is applied to examine the long-run relationship between the variables over the period 1961–2012. In the process of estimating the long-run coefficients, the ARDL method is augmented with a fully modified ordinary least squares (FMOLS) estimator and a dynamic ordinary least squares (DOLS) estimator. The direction of causality between the variables is examined through the vector error correction method (VECM) Granger causality test. The results establish the existence of a long-run relationship in the variables. The results of the long-run regressions indicate the presence of long-run causality from urbanisation, agriculture and industrialisation to economic growth. Due to the deficiencies associated with the single-equation methods (including the ARDL model), we also use the structural vector error correction model (SVECM) to analyse the relationship between the variables. The impulse response and variance decomposition analyses derived from the SVECM method suggest that urbanisation, agriculture and industrialisation are important determinants of economic growth. The implications of the results are discussed. JEL Classification: Q43, O55, O18

Financial development, FDI and economic growth: evidence from Sudan

2018 ◽  
Vol 45 (8) ◽  
pp. 1236-1249 ◽  
Author(s):  
Abdalla Sirag ◽  
Samira SidAhmed ◽  
Hamisu Sadi Ali
Keyword(s):  
Economic Growth ◽  
Least Squares ◽  
Financial Development ◽  
Unit Root ◽  
Structural Break ◽  
Ordinary Least Squares ◽  
Series Data ◽  
Content Type ◽  
Long Run ◽  
Cointegration Tests

Purpose The effect of foreign direct investment (FDI) on economic growth is widely believed to be contingent on the development of the financial sector. Nevertheless, as the possibility that the effect of financial development on growth being contingent on FDI has been neglected in existing literature, the authors have investigated it in this paper. In general, the purpose of this paper is to examine the effect of financial development and FDI on economic growth in Sudan using annual data from 1970 to 2014. Design/methodology/approach Since most of the macroeconomic variables are subject to unit root problem, the time series data are assessed using unit root and cointegration tests with/without structural break. Moreover, the study uses the fully modified ordinary least squares and the dynamic ordinary least squares techniques to estimate the long-run model. Findings The results of the cointegration tests provide evidence that a long-run relationship exists among variables even after accounting for the structural break. The results show that financial development and FDI are positive and significant in explaining economic growth in Sudan. Financial development is found to be more beneficial to economic growth than FDI. Moreover, the findings reveal that FDI leads to better economic performance through financial development. Interestingly, the findings of the study show that the effect of financial development on economic growth is further enhanced by the inflows of FDI. Research limitations/implications The government should focus on promoting FDI in more productive sectors. In addition, further cooperation with multinational enterprises is needed to increase FDI in the country. Originality/value This is the first paper that empirically examines both the interlinked impact of FDI on growth through financial development and the impact of financial development on economic growth through FDI in Sudan using appropriate econometric methods.

scholarly journals Non-bank financial institutions and economic growth: Evidence from Africa’s three largest economies

2017 ◽  
Vol 20 (1) ◽  
Author(s):  
Ronald Rateiwa ◽  
Meshach J. Aziakpono
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Financial Institutions ◽  
Time Series Data ◽  
Bank Lending ◽  
Series Data ◽  
The Sustainable Development ◽  
Long Run ◽  
The Relationship

Background: In order for the post-2015 world development agenda – termed the sustainable development goals (SDGs) – to succeed, there is a pronounced need to ensure that available resources are used more effectively and additional financing is accessed from the private sector. Given that traditional bank lending has slowed down, the development of non-bank financing has become imperative. To this end, this article intends to empirically test the role of non-bank financial institutions (NBFIs) in stimulating economic growth.Aim: The aim of this article is to empirically test the existence of a long-run equilibrium relationship between economic growth and the development of NBFIs, and the causality thereof.Setting: The empirical assessment uses time-series data from Africa’s three largest economies, namely, Egypt, Nigeria and South Africa, over the period 1971–2013.Methods: This article uses the Johansen cointegration and vector error correction model within a country-specific setting.Results: The results showed that the long-run relationship between NBFI development and economic growth is relatively stronger in Egypt and South Africa, than in Nigeria. Evidence in respect of Nigeria shows that such a relationship is weak. The nature of the relationship between NBFI development and economic growth in Egypt is positive and significant, and predominantly bidirectional. This suggests that a virtuous relationship between NBFIs and economic growth exists in Egypt. In South Africa, the relationship is positive and significant and predominantly runs from NBFI development to economic growth, implying a supply-leading phenomenon. In Nigeria, the results are weak and mixed.Conclusion: The study concludes that in countries with more developed financial systems, the role of NBFIs and their importance to the economic growth process are more pronounced. Thus, there is need for developing policies targeted at developing the NBFI sector, given their potential to contribute to economic growth.

scholarly journals The Contribution of Foreign Direct Investment (FDI) To Domestic Employment Levels in South Africa: A Vector Autoregressive Approach

2019 ◽  
Vol 11 (1(J)) ◽  
pp. 110-121
Author(s):  
Bongumusa Prince Makhoba, ◽  
Irrshad Kaseeram
Keyword(s):  
Economic Growth ◽  
South Africa ◽  
Least Squares ◽  
South African ◽  
Empirical Analysis ◽  
Negative Relationship ◽  
Ordinary Least Squares ◽  
Series Data ◽  
The South ◽  
Vector Autoregressive

Several empirical works have yielded mixed and controversial results with regard to the effects of FDI on employment and economic growth. The primary focus of this study is to investigate the contribution of FDI to domestic employment levels in the context of the South African economy. The analyses of the study were carried out using the annual time series data from 1980 to 2015. The macroeconomic variables employed in the empirical investigation include employment, FDI, GDP, inflation, trade openness and unit labour costs. The study used secondary data from the South African Reserve Bank and Statistics South Africa database. The study estimated a Vector Autoregressive/ Vector Error Correction Mechanism (VAR/VECM) approach to conduct empirical analysis. However, the study also employed single equation estimation techniques, including the Ordinary Least Squares (OLS), Fully Modified Ordinary Least Squares (FMOLS), Dynamic Ordinary Least Squares (DOLS) and Canonical Cointegrating Regression (CCR) models as supporting tools to verify the VAR/VECM results. This study provides strong evidence of a significant negative relationship between FDI and employment levels in the South African economy. Empirical analysis of the study suggests that the effect of economic growth on employment is highly positive and significant in South Africa’s economy. The study recommends that policymakers ought to invest more in productive sectors that aim to promote economic growth and development to boost employment opportunities in South Africa.

scholarly journals The Impact of Industrialization, Trade Openness, Financial Development, and Energy Consumption on Economic Growth in Indonesia

Economies ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 174
Author(s):  
Khalid Eltayeb Elfaki ◽  
Rossanto Dwi Handoyo ◽  
Kabiru Hannafi Ibrahim
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Least Squares ◽  
Financial Development ◽  
Correction Term ◽  
Trade Openness ◽  
Ordinary Least Squares ◽  
Distributed Lag ◽  
Long Run ◽  
The Impact

This study aimed to scrutinize the impact of financial development, energy consumption, industrialization, and trade openness on economic growth in Indonesia over the period 1984–2018. To do so, the study employed the autoregressive distributed lag (ARDL) model to estimate the long-run and short-run nexus among the variables. Furthermore, fully modified ordinary least squares (FMOLS), dynamic least squares (DOLS), and canonical cointegrating regression (CCR) were used for a more robust examination of the empirical findings. The result of cointegration confirms the presence of cointegration among the variables. Findings from the ARDL indicate that industrialization, energy consumption, and financial development (measured by domestic credit) positively influence economic growth in the long run. However, financial development (measured by money supply) and trade openness demonstrate a negative effect on economic growth. The positive nexus among industrialization, financial development, energy consumption, and economic growth explains that these variables were stimulating growth in Indonesia. The error correction term indicates a 68% annual adjustment from any deviation in the previous period’s long-run equilibrium economic growth. These findings provide a strong testimony that industrialization and financial development are key to sustained long-run economic growth in Indonesia.

scholarly journals The human capital–economic growth nexus in SSA countries: what can strengthen the relationship?

2020 ◽  
Vol 47 (9) ◽  
pp. 1143-1159
Author(s):  
Roseline Tapuwa Karambakuwa ◽  
Ronney Ncwadi ◽  
Andrew Phiri
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Least Squares ◽  
Ordinary Least Squares ◽  
African Countries ◽  
Content Type ◽  
Econometric Approach ◽  
The Impact ◽  
The Relationship ◽  
Ssa Countries

PurposeThe purpose of this study is to examine the impact of human capital on economic growth for a selected sample of nine SSA countries between 1980 and 2014 using a panel econometric approach.Design/methodology/approachThe authors estimate a log-linearized endogenous using the fully modified ordinary least squares (FMOLS) and the dynamic ordinary least squares (POLS) applied to our panel data time series.FindingsThe empirical analysis shows an insignificant effect of human capital on economic growth for our selected sample. These findings remain unchanged even after adding interactive terms to human capital, which are representatives of government spending as well as foreign direct investment. Nevertheless, the authors establish a positive and significant effect of the interactive term between urbanization and human capital on economic growth.Practical implicationsThe results emphasize the need for African policymakers to develop urbanized, “smart”, technologically driven cities within the SSA region as a platform toward strengthening the impact of human capital-economic growth relationship.Originality/valueThis study becomes the first in the literature to validate the human capital–urbanization–growth relationship for African countries.

Investigation of Socioeconomic Determinants on Child Death in South Asian Countries: A Panel Cointegration Analysis

2020 ◽  
pp. 003022282091502
Author(s):  
Shazia Kousar ◽  
Aiza Shabbir ◽  
Rukia Shafqat
Keyword(s):  
Income Inequality ◽  
Socioeconomic Factors ◽  
Least Squares ◽  
Child Mortality ◽  
South Asian ◽  
Health Expenditure ◽  
Ordinary Least Squares ◽  
Asian Countries ◽  
Long Run ◽  
The Relationship

This article is aimed to examine the relationship between socioeconomic factors and child mortality in South Asia because the relationship between child mortality and socioeconomic factors cannot be overlooked for better progress. Panel data were obtained from (World Development Indicators) and (Human Development Index) for the period 1990–2017. The data were quantitative. Levin, Lin, and Chu and I’m, Pesaran, and Shin test were used to check the stationarity of data. A cointegration test was applied to check the long-run association. Granger causality test was used to determine the direction of the relationship. Fully modified ordinary least squares and dynamic ordinary least squares techniques were used to examine the long-run and short-run impact of socioeconomic determinants on child mortality. The findings from this study showed the significant impact of education, unemployment, and health expenditure, access to improved water and sanitation facilities, and income inequality on child mortality. Overall results showed that there is a negative association between education and child mortality, access to improved water and access to sanitation facilities and child mortality, and health expenditure and child mortality, but there is a positive association between unemployment and income inequality with child mortality. The rate of child mortality is still very alarming in South Asian countries.

scholarly journals Re-visiting the renewable energy–economic growth nexus

2017 ◽  
Vol 11 (3) ◽  
pp. 387-403 ◽  
Author(s):  
Oluwafisayo Alabi ◽  
Ishmael Ackah ◽  
Abraham Lartey
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Ordinary Least Squares ◽  
Renewable Energy Consumption ◽  
Content Type ◽  
Dynamic Relationship ◽  
Long Run ◽  
Short Run ◽  
Opec Member ◽  
The Relationship

Purpose This paper aims to investigate the dynamic relationship between renewable energy and economic growth in African OPEC member countries (Angola, Algeria and Nigeria). Design/methodology/approach The fully modified ordinary least squares technique for heterogeneous cointegrated panels (Pedroni, 2000) is used to estimate the parameters of the model. Findings The study revealed four main findings. First, there is a bidirectional causality between renewable energy and economic growth in the long and the short run. Second, a bidirectional causality exists between non-renewable energy and economic growth in the short and long run. Third, a bidirectional causality exists between CO2 emissions and economic growth. Fourth, a unidirectional causality was also found between CO2 emissions and non-renewable energy consumption with the direction of causality stemming from the consumption of non-renewable energy to CO2 emissions. Practical implications Because renewable consumption enhances growth, OPEC-member Africa countries should encourage investment in modern renewable sources that has high conversion efficiency such as solar, wind and hydro to strengthen their response to mitigating the impacts of climate change. Originality/value This study applies multiple methods to analyze the relationship between renewable energy and economic growth in African OPEC countries.

A CONTEMPORARY RE-EXAMINATION OF MALAYSIA’S ECONOMIC GROWTH: THE ISSUES OF EQUITY, EFFICIENCY AND LIBERALIZATION

2017 ◽  
Vol 62 (02) ◽  
pp. 509-530 ◽  
Author(s):  
AZFAR HILMI BAHARUDIN ◽  
YAP SU FEI
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Least Squares ◽  
Financial Development ◽  
Direct Investment ◽  
Positive Relationship ◽  
Empirical Investigation ◽  
Ordinary Least Squares ◽  
Statistical Relationship ◽  
Long Run

This paper is an empirical investigation on economic growth for Malaysia, with focus on income inequality, foreign direct investment (FDI), financial development and trade. Co-integrating regression procedures namely, fully modified ordinary least squares (FMOLS), canonical co-integrating regression (CCR) and dynamic ordinary least squares (DOLS) were employed. Positive relationship between growth with financial development and trade are found to be consistent across all estimations. Income inequality on the other hand though negative, does not seem to exhibit robust significant statistical relationship with growth. The orders of integration for variables used have been demonstrated to be governed such that a long-run relationship prevails.

scholarly journals IMPACT OF TRADE ON ECONOMIC GROWTH OF PAKISTAN: AN ARDL TO CO-INTEGRATION APPROACH

2016 ◽  
Vol 55 (2) ◽  
pp. 47-58
Author(s):  
Nooreen Mujahid ◽  
Azeema Begum ◽  
Muhammad Noman
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Exchange Rate ◽  
Time Series Data ◽  
Policy Option ◽  
Stationary Time Series ◽  
Series Data ◽  
Long Run ◽  
Import And Export ◽  
The Relationship

This paper explores the relationship between export growth and economic growth in the case of Pakistan by employing time series data for the period 1971- 2013. This study has incorporated variables like GDP (Gross Domestic Product) exports, imports and Foreign Direct Investment (FDI). We have applied ARDL to co-integration and Error Correction Model (ECM). The study provides the evidence of stationary time series variables, the existence of the long - run relationship between them, and the result of ECM revealed short rum equilibrium adjustment. Pakistan has many options for enhancing the export of the country. There is a dire need to minimize trade barriers and restrictions such as import and export quotas. Government of Pakistan had introduced Structural Reforms for liberalization, privatization and de-regulation which will actually shifted the trend of trade at a significant level in the end of 1980s. Low levels of interest rate can help exportable industries in which investments are needed to promote and enhance the exports. Stable exchange rate is the first and the best policy option for increasing the export and managing the imports. There is a cause and effect relationship between exchange rate and FDI. Pakistan has to immediately find the policies and processes that support logistics and facilitates trade.

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