scholarly journals Relationship Between Trade Openness, Capital Formation and Economic Growth: A Panel Data Analysis for African Countries

2017 ◽  
Author(s):  
Ahmet Ay ◽  
Fahri Kurşunel ◽  
Mahamane Moutari Abdou Baoua
Keyword(s):  
Economic Growth ◽  
Panel Data Analysis ◽  
Trade Openness ◽  
Capital Formation ◽  
Gdp Per Capita ◽  
Equatorial Guinea ◽  
African Countries ◽  
Long Run ◽  
Integration Test ◽  
Per Capita

The more a country is open to trade, the more it attracts investors and the faster its economy develops. However, some study showed that sometime it can be the opposite of all this. In this context, the main purpose of this study is to investigate the relationship between trade openness, capital formation and economic growth in African countries. To do so, we collected data of GDP per capita, trade (% of GDP), Gross national expenditure and capital formation variables. The method applied is panel cointegration and causality by using time series of 38 African countries for the period of 1990-2014. According to the results there is long run relationship between all the variables and the cross sectional co-integration test result indicates that there is more cointegration in Comoros, Equatorial Guinea, Niger and Guinea-Bissau. With highest GDP per capita, Equatorial Guinea has more long-run relationship between trade openness, capital formation and economic growth. However, one of the poorest countries in the world (Niger), has also efficient long run relationship between the variables. The panel causality test results suggest that there is unidirectional causal relationship from trade openness to economic growth. There is also bidirectional causality link between capital formation and economic growth. In the same context, causal link exists from capital formation to trade openness. The study suggests that African countries must increase the investment promotions in order to increase the capital formation and trade openness then to boost economic growth.

EXPORT-GROWTH NEXUS WHILE USING THE BLOCK EXOGENEITY: EMPIRICAL EVIDENCE FROM PAKISTAN

2020 ◽  
Vol 11 (1) ◽  
pp. 25-46
Author(s):  
Zia Ur Rahman
Keyword(s):  
Economic Growth ◽  
Trade Openness ◽  
Time Frame ◽  
Capital Formation ◽  
Gdp Per Capita ◽  
Real Gdp ◽  
Real Gdp Per Capita ◽  
Per Capita ◽  
Import Trade ◽  
Bound Test

The core objective of the study is to analyze the association between export and eco-nomic growth under the consideration of the time frame 1967 to 2017 for Pakistan economy. The review of literature assists to find out the frequently utilize factors are the real GDP per capita, export, import, trade openness, fiscal development and capi-tal formation possible determinants of the economic growth. However, Export Led Growth (ELG) hypothesis is oftenly employed to elaborate the affiliation between ex-port and the growth. Autoregressive distributed lag (ARDL) bound test approach to cointegration accompanied with the structural break and vector auto regressive (VAR) are employed to analysis the long-term association among real GDP per capita, ex-port, import, trade openness, fiscal development and capital formation. The empirical analysis confirms the cointegration among the factors and the ELG hypothesis holds in Pakistan economy. The Block Exogeneity reveals that export and the capital for-mation have strong influence to stimulate the economic growth. While all the other factors have cumulative influence on the growth. Moreover, the impulse response exposes that if the shock of real GDP per capita, import, trade openness, fiscal devel-opment and the capital formation are given to the export, then response of export would be positive in the coming time frame.

scholarly journals Personal remittances, banking sector development and economic growth in Israel: A trivariate causality test

2015 ◽  
Vol 13 (1) ◽  
pp. 1014-1027
Author(s):  
Kunofiwa Tsaurai
Keyword(s):  
Economic Growth ◽  
Banking Sector ◽  
Gdp Per Capita ◽  
Series Data ◽  
Long Run ◽  
Banking Sector Development ◽  
Integration Test ◽  
Short Run ◽  
Causality Relationship ◽  
Per Capita

The current study investigates the causal relationship between personal remittances and economic growth using Israel time series data from 1975 to 2011. In a bid to contain the omission-of-variable bias not addressed in many past studies on this topic, this study included banking sector development as a third variable in the relationship between personal remittances and economic growth to create a tri-variate causality framework. Personal remittances as a ratio of GDP, domestic credit to private sector by banks as a ratio of GDP and GDP per capita were used as proxies for personal remittances, banking sector development and economic growth respectively for the purposes of this study. It used the Johansen co-integration test to examine the existence of the long run relationship and vector error correction model (VECM) to determine the direction of causality between personal remittances, banking sector development and economic growth both in the long and short run. The findings reveal that: (1) there is a significant long run causality relationship running from GDP per capita and banking sector development towards personal remittances, (2) there is an insignificant long run causality relationship running from personal remittances and GDP per capita towards banking sector development, (3) there is no long run causality relationship running from personal remittances and banking sector development towards GDP per capita and there is no short run causality relationship between the three variables that were under study in Israel. The author therefore recommends the authorities of Israel to speed up the implementation of banking sector development and economic growth programmes in order to increase the quantity of personal remittances inflows

scholarly journals A cointegration analysis between macroeconomic variables and fiscal deficit in Pakistan

2018 ◽  
Vol 2 (1) ◽  
pp. 37-46
Author(s):  
Mian Nasir Uddin ◽  
Muhammad Tariq ◽  
Saleem Khan
Keyword(s):  
Exchange Rate ◽  
Capital Formation ◽  
Cointegration Analysis ◽  
Gdp Per Capita ◽  
Fiscal Deficit ◽  
Macroeconomic Variables ◽  
Long Run ◽  
Integration Test ◽  
Per Capita ◽  
The Government

This paper estimates the short and long run association between selected macroeconomic variables and fiscal deficit in Pakistan for the period of 1985 to 2016. Macroeconomic variables such as exports, exchange rate, GDP per capita, inflation, gross capital formation have strong implications for the fiscal deficit. This study checks the data for stationarity using the Augmented Dickey Fuller test. Johansen Co-integration test and Vector Error Correction Method are used to investigate both the short and long run relationships. Results indicated the existence of both short run and long run relationship between the macroeconomic variables and fiscal deficit. The findings of the study revealed that exports, exchange rate, GDP per capita, inflation, gross capital formation are important determinants of fiscal deficit in Pakistan. The study suggested that the government may focus on these factors to overcome fiscal deficit in Pakistan.

Energy consumption and growth in South Asia: evidence from a panel error correction model

2015 ◽  
Vol 9 (3) ◽  
pp. 295-310 ◽  
Author(s):  
Harishankar Vidyarthi
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
South Asia ◽  
Capital Formation ◽  
Fixed Capital ◽  
Gdp Per Capita ◽  
Content Type ◽  
Long Run ◽  
Fixed Capital Formation ◽  
Per Capita

Purpose The purpose of the paper is to empirically examine the relationship between energy consumption and economic growth for a panel of five South Asian economies, namely, India, Pakistan, Bangladesh, Sri Lanka and Nepal over the period from 1971 to 2010 within a multivariate framework. Design/methodology/approach The study uses Pedroni cointegration and Granger causality test based on panel vector error correction model to examine long-run equilibrium relationship and direction of causation in the short and long run between energy consumption and economic growth using energy inclusive Cobb–Douglas production function for a panel of five South Asia countries, namely India, Pakistan, Bangladesh, Sri Lanka and Nepal. Findings Pedroni’s panel cointegration test indicates the long-run equilibrium relationship between economic growth per capita, energy consumption per capita and real gross fixed capital formation per capita for panel. Further, 1 per cent increase in energy consumption per capita increases the gross domestic product (GDP) per capita by 0.8424 per cent for the panel. Causality results suggest bidirectional causality between energy consumption per capita, gross fixed capital formation per capita and GDP per capita in the long run and unidirectional causality running from energy consumption per capita and gross fixed capital formation per capita to GDP per capita in the short run. Practical implications These South Asian countries should implement an expansionary energy policies through improving the energy infrastructure, energy efficiency measures and exploiting massive renewables’ availability for low-cost, affordable clean energy access for all, especially in the yet unserved rural and remote areas for further stimulating economic growth. Originality/value Implementing energy efficiency measures and massive renewables development (wind, solar and hydropower) may help the affordable and clean energy access and reducing fossils fuel dependence and its associated greenhouse emissions in South Asia.

scholarly journals Consequences of Capital formation, Trade Liberalization on the Economic Growth: Pakistan’s Experience

2015 ◽  
Vol 2 (1) ◽  
pp. 1-4
Author(s):  
Nadia Bukhari ◽  
Anjum Iqbal
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Trade Openness ◽  
Capital Formation ◽  
Vital Role ◽  
Series Data ◽  
Distributed Lag ◽  
Long Run ◽  
Auto Regressive ◽  
Adf Test

This study considers the long run relationship between the liberalization of trade, capital formation and the economic growth of Pakistan by using the time series data from 1975-2013. The main aim of this study is to examine that how much liberalization of trade and capital formation affects the economic growth of Pakistan in long run. The approach that has been used for empirical analysis is Auto Regressive Distributed Lag (ARDL) model. Under the ADF test capital formation (CF) is stationary at its first level but the trade openness (TO) and GDP is stationary at its first difference. Moreover, the granger casualty test is evident that there become a casual relationship between the trade openness and GDP. The result of this study shows that both the trade openness and the capital formation determined the economic growth in long run and they both have statistically significant effect on the GDP. Furthermore it has has been depicted from the study that the trade has a vital role to influence the economic growth.

The Relationship Among Military Expenditure, High Technological Product Exports, and Economic Growth

2021 ◽  
pp. 624-645
Author(s):  
Sevgi Sezer
Keyword(s):  
Economic Growth ◽  
Panel Data Analysis ◽  
Military Expenditure ◽  
Gdp Per Capita ◽  
High Tech ◽  
Industrialized Countries ◽  
G7 Countries ◽  
Causality Relationship ◽  
Per Capita ◽  
The Relationship

In this chapter, the effects of military expenditure (MEXP) on high-tech exports (HTX) and GDP per capita (GDPPC) of G7 and new industrialized countries (NIC) are analyzed for period 1988-2015 by panel data analysis. The causality relationships between the series are examined by Dumitrescu and Hurlin test. In G7 countries, one-way causality relationship from HTX to MEXP and two-way causality relationship between MEXP and GDPPC have been identified. Also, in NIC countries, two-way causality relationship between HTX and MEXP and one-way causality relationship from GDPPC to MEXP have been determined. Cointegration relations are tested by Pedroni test and the series are found to be cointegrated. It is seen that in the G7 countries, 1% increase in MEXP during the period of 1988-2015 increased HTX by 0.71% and GDPPC by 0.98%. In NIC countries, the 1% increase in MEXP increased HTX by 1.7% and GDPPC by 0.96%. The effect of MEXP on HTX is found much higher in NIC countries.

scholarly journals Trade Openness and Economic Growth Nexus: A Case Study of BRICS

2018 ◽  
Vol 54 (1) ◽  
pp. 1-15 ◽  
Author(s):  
L. G. Burange ◽  
Rucha R. Ranadive ◽  
Neha N. Karnik
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Causal Relationship ◽  
Trade Openness ◽  
Gdp Per Capita ◽  
Jel Codes ◽  
Per Capita ◽  
The Impact ◽  
Econometric Technique

The article analyses a causal relationship between trade openness and economic growth for the member countries of BRICS by using an econometric technique of time series analysis. Member countries of BRICS adopted a series of liberalization reforms, almost simultaneously, from the late 1980s. The article attempts to study the impact of trade openness on their growth in GDP per capita. It captures structural composition of GDP and openness of trade in four aspects, that is, merchandise exports, merchandise imports, services export and services import. In India, the study found growth-led trade in services hypothesis. The article supports the growth-led export and growth-led import hypothesis for China and export- and import-led growth for South Africa. However, no causal relationship was evident for Brazil and Russia. JEL Codes: F43, C22

Impact of Trade Openness on Nigerian Economic Growth: An Empirical Investigation, 1970–2011

2020 ◽  
Vol 55 (2) ◽  
pp. 239-247 ◽  
Author(s):  
Gerald C. Nwadike ◽  
Ani Kelechi Johnmary ◽  
Chukwuma Samuel Alamba
Keyword(s):  
Economic Growth ◽  
Trade Openness ◽  
Unit Root Test ◽  
Total Import ◽  
Private Sector Investment ◽  
Ex Post ◽  
Long Run ◽  
Integration Test ◽  
The Government ◽  
The Impact

Geopolitical territories have often engaged in one form of trade or another with their neighbours. That is because no nation in the world can survive without one form of trade with other sovereign states. This study examines the nature of trade openness and economic growth in Nigeria from 1970–2011. The emphasis of this empirical study is to ascertain the impact of trade openness on Nigeria’s economic growth. Causal comparative or ex-post facto research design was adopted in the study. Econometric time series analyses like ADF unit root test, co-integration test and the ordinary least squared (OLS) were employed in the study. The result obtained was used to test the hypotheses, and it was revealed that (i) Trade Openness has positive significant impact on Nigeria’s economic growth; while (ii) Gross Domestic Product (GDP) responds to the shock of Trade Openness value as a proxy of total import and total export divided by GDP as well as change in Exchange Rate (DEXR) within Nigeria’s economy during the period of study. Thus, the co-integration results indicate that there exists long-run relationship among the variables used; hence; the researchers then recommended that there is urgent need for the government to create enabling environment for good trade policy that would attract both foreign and domestic private sector investment in the country. JEL Codes: F13, B27

scholarly journals Dynamic linkages between renewable energy, carbon emissions and economic growth through nonlinear ARDL approach: Evidence from Iran

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0253464
Author(s):  
M. S. Karimi ◽  
S. Ahmad ◽  
H. Karamelikli ◽  
D. T. Dinç ◽  
Y. A. Khan ◽  
...  
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Carbon Emissions ◽  
Gdp Per Capita ◽  
Bounds Testing ◽  
Renewable Energy Consumption ◽  
Economic Implications ◽  
Long Run ◽  
Per Capita

This study examines the relationship between economic growth, renewable energy consumption, and carbon emissions in Iran between 1975–2017, and the bounds testing approach to cointegration and the asymmetric method was used in this study. The results reveal that in the long run increase in renewable energy consumption and CO2 emissions causes an increase in real GDP per capita. Meanwhile, the decrease in renewable energy has the same effect, but GDP per capita reacts more strongly to the rise in renewable energy than the decline. Besides, in the long run, a reduction of CO2 emissions has an insignificant impact on GDP per capita. Furthermore, the results from asymmetric tests suggest that reducing CO2 emissions and renewable energy consumption do not have an essential role in decreasing growth in the short run. In contrast, an increase in renewable energy consumption and CO2 emissions do contribute to boosting the growth. These results may be attributable to the less renewable energy in the energy portfolio of Iran. Additionally, the coefficients on capital and labor are statistically significant, and we discuss the economic implications of the results and propose specific policy recommendations.

scholarly journals Symmetric and Asymmetric Impact of Poverty, Income Inequality, and Population on Carbon Emission in Pakistan: New Evidence From ARDL and NARDL Co-Integration

2021 ◽  
Vol 9 ◽  
Author(s):  
Salim Khan ◽  
Wang Yahong
Keyword(s):  
Economic Growth ◽  
Income Inequality ◽  
Environmental Degradation ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Policy Implications ◽  
Gdp Per Capita ◽  
Long Run ◽  
Asymmetric Impact ◽  
Per Capita

Several researchers have studied the relationship between poverty and environmental degradation, as these concerns are remained at top priority in achieving Sustainable Development Goals (SDGs). However, the symmetric and asymmetric impact of poverty and income inequality along with population and economic growth on carbon emissions (CO2e) has not been studied in the case of Pakistan. For this purpose, the short and long-run impact of poverty, income inequality, population, and GDP per capita on CO2e investigated by applying the Autoregressive Distributive Lag (ARDL) along with Non-linear Autoregressive Distributive Lag (NARDL) co-integration approach in the context of Pakistan for period 1971–2015. The symmetric results of the current study show poverty and population density along with GDP per capita increase carbon emissions in both the short and long-run, while income inequality has no impact on carbon emissions in the short-run. While in the long-run the symmetric results show that income inequality weakens environmental degradation in terms of carbon emissions. The analysis of NARDL also supports the results obtained from ARDL and suggests a positive effect of poverty, population, and economic growth on carbon emission in Pakistan. The empirical findings of the current study provide policy implications in light of the United Nation's SDGs for the development of Pakistan.

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