Trade Openness, Institutions and Industrial Growth in Pakistan: An Application of Bayer and Hanck Cointegration Test

2019 ◽  
Vol 12 (1) ◽  
Author(s):  
Abdul Farooq ◽  
A.R. Chaudhary ◽  
Ahmad Nawaz
Keyword(s):  
Time Series Data ◽  
Trade Openness ◽  
Industrial Sector ◽  
Series Data ◽  
Geographical Differences ◽  
Industrial Growth ◽  
Long Run ◽  
Quality Of Institutions ◽  
Short Run

Per Capita Income and productivity of industrial sector are very low in developing nations including Pakistan as compared to developed nations. Three reasons have been mentioned in the literature for this difference; geographical differences, role of international trade and the quality of institutions.This study examines the short run and long run impacts of trade openness, and quality of institutions, on the growth of industrial sector of Pakistan, using time series data over the period of 1984-2013.TheCobb- Douglas production function has been augmented by adding quality of institutions, trade openness, and financial development variables to probe their impacts on the industrial growth. The most recently developed combined cointegration technique by Bayer and Hanck (2013) has been usedto check the cointegration among the variables. Long run empirical results show that trade openness, and quality of institutions positively contributes to the growth of industrial sector. These resultssuggest that better quality and well-functioning of the institutions is a pre requisites to boost the foreign trade, and the growth of industrial sector of Pakistan. Keywords: Trade Openness, Institutions, Industrial Growth, Pakistan

scholarly journals DOES TRADE OPENNESS PROMOTE ECONOMIC GROWTH? THE CASE OF SUDAN

2021 ◽  
Vol 2 (Volume 2) ◽  
pp. 123-132
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Trade Openness ◽  
Unit Root Test ◽  
Industrial Sector ◽  
Series Data ◽  
Kuznets Curve ◽  
Long Run ◽  
Short Run ◽  
The Impact

This study investigates the impact of trade openness on economic growth in Sudan. The study utilizes annual time series data from 1972 to 2019. The study adopts the unit root test. The Autoregressive Distributed Lag model has been used as an estimation technique. The results indicate that trade openness has a positive significant impact on the economic growth in short run. However, the impact is negative in the long run. When the long-run and short-run elasticity were compared the trade-led growth hypothesis was not found. It can be argued that the country is specialized in production of low-quality products and exporting primary products therefore the economic growth is negatively affected by trade openness. Moreover, the Environmental Kuznets Curve hypothesis results provide evidence against the existence of the hypothesis indicating that the country is still below the desired level of income. The study suggests that a country should promote the industrial sector which will help to export manufactured products and therefore will increase the productivity.

A Sectoral Analysis of the Role of Stock Market Development on Economic Growth: Empirical Evidence from Indian Economy

2017 ◽  
Vol 18 (4) ◽  
pp. 911-923 ◽  
Author(s):  
Madhu Sehrawat ◽  
A.K. Giri
Keyword(s):  
Economic Growth ◽  
Stock Market ◽  
Stock Prices ◽  
Stock Price ◽  
Time Series Data ◽  
Trade Openness ◽  
Series Data ◽  
Causality Test ◽  
Long Run ◽  
Short Run

The present study examines the relationship between Indian stock market and economic growth from a sectoral perspective using quarterly time-series data from 2003:Q4 to 2014:Q4. The results of the autoregressive distributed lag (ARDL) approach bounds test confirm the existence of a cointegrating relationship between sector-specific gross domestic product (GDP) and sector-specific stock indices. The empirical results reveal that sector-specific economic growth are significantly influenced by changes in the respective sector-specific stock price indices in the long run as well as in the short run. Apart from that, the control variables, such as trade openness and inflation, act as the instrument variables in explaining the variations in the sector-specific GDP of the economy. The results of Granger causality test demonstrate unidirectional long-run as well as short-run causality running from sector specific stock prices to respective sector GDP. The findings suggest that economic growth of the country is sensitive to respective sub-sector stock market investments. The findings highlight the reasons for cyclical and counter-cyclical business phase for the overall economy.

Modelling the Nexus Between Foreign Aid and Economic Growth: A Case of Afghanistan and Egypt

2021 ◽  
Vol 39 (2) ◽  
Author(s):  
Muhammed Ashiq Villanthenkodath ◽  
Ubaid Mushtaq
Keyword(s):  
Economic Growth ◽  
Foreign Aid ◽  
Time Series Data ◽  
Trade Openness ◽  
Political Stability ◽  
Series Data ◽  
Long Run ◽  
Short Run ◽  
Annual Time Series ◽  
And Control

This paper tries to explore the existence of a long-run relationship between foreign aid and economic growth by using the data from the two highest foreign aid recipient countries. Using the annual time series data from 1965 to 2017 this study uses several econometric models such as Johansen and Juselius cointegration, Granger causality and vector auto regression to establish the long and short-run relationships among foreign aid inflows and economic growth while also considering financial development and trade openness from both the countries. The empirical results suggest that no long-run relationship exists among foreign aid inflows and economic growth for both the countries. However, unidirectional causality running from foreign aid to economic growth is indicative in both countries. Therefore, the findings in this paper support the adequate need for foreign aid for effective economic growth amid an upright policy environment, related issues of conditionality and political stability. Our results are robust to independent, and control variables and estimation techniques are also on par with robustness.

scholarly journals Determinants of Private Investment in Pakistan

2020 ◽  
Vol 2 (3) ◽  
pp. 86-92
Author(s):  
Muhammad Suleman ◽  
Abdur Rehman ◽  
Haroon Javaid
Keyword(s):  
Growth Rate ◽  
Public Sector ◽  
Time Series Data ◽  
Trade Openness ◽  
Private Investment ◽  
Series Data ◽  
Distributed Lag ◽  
Long Run ◽  
Domestic Savings ◽  
Short Run

Private investment has a significant relation with the economic growth of the country. It plays an important role in reduction of unemployment and poverty by promoting efficiency and competition among the firms. This study is an attempt to investigate the determinants of private investment in Pakistan. For this purpose, time-series data is utilized for the period 1974-2013. The ARDL (Auto Regressive-Distributed Lag) modeling technique of co-integration was employed to estimate the short-run and long-run determinants of private investment in Pakistan. Empirical findings of this study indicated that in the short-run private investment in Pakistan is determined by the growth rate of GDP, public sector investment, and domestic savings. While in the long run it is determined by the official exchange rate, the growth rate of GDP, public sector investment, domestic savings, trade openness, and interest rate. The results also revealed that in the case of Pakistan different political regimes (democratic, non-democratic) have no significance in the determination of private investment. Stability tests of CUSUM and (CUSUMSQ) (Cumulative Sum Control Chart) were performed in this study. These tests indicated a stable, long run as well as short-run structural stability of the model.

scholarly journals Trade Openness And Inflation: Empirical Explanation Of The Nexus In Nigeria

2019 ◽  
Vol 1 (2) ◽  
pp. 35-45
Author(s):  
Musa Abdullahi Sakanko ◽  
David Joseph
Keyword(s):  
Inflation Rate ◽  
Time Series Data ◽  
Trade Openness ◽  
Consumer Price Index ◽  
Negative Relationship ◽  
Series Data ◽  
Secondary Sources ◽  
Long Run ◽  
Short Run ◽  
The Government

Purpose of the study: The study aims is to examine the effect of trade openness on inflation rate in Nigeria. Methodology: Time series data were collected from secondary sources.  EViews10 (statistical software for data analysis) ware employed to analyze the data collected. Findings: The results revealed a cointegrating and one-way Granger causality between inflation rate, and trade openness. In addition, both the short-run and the long-run results demonstrate a significant and negative relationship between inflation rate and trade openness in Nigeria. Application: The study is paramount to the government and policymakers in dealing and taking a decision regarding consumer price index and trade openness in Nigeria. We conclude that the government should work towards full diversification and diversion of the economy from oil export, control, and management of the degree of trade liberalization and the extent to which goods enter the country, and the control of money supplied. Novelty/Originality: The study accorded to debate on the inflation rate, and trade openness in Nigeria looking, at both short-run and long-run effects, before few accessible studies focused on impact, and trade openness was not measured as the value of net export divided by gross domestic product. Finally, the paper contributed to the scanty of the literature.

scholarly journals Determinants of Industrial Sector Growth in Pakistan

2019 ◽  
Vol IV (III) ◽  
pp. 61-70
Author(s):  
Mujib Ur Rahman ◽  
Amtul Hafeez ◽  
Wisal Ahmad
Keyword(s):  
Time Series Data ◽  
External Debt ◽  
Industrial Sector ◽  
Positive Influence ◽  
Series Data ◽  
Industrial Growth ◽  
Long Run ◽  
Ardl Approach ◽  
Augmented Dickey Fuller ◽  
Negative Effect

A strong industrial sector shows greater economic growth. To find industrial growth, this study hereby made an attempt. Time series data is used. Data is obtained from the years 1984 to 2018. The stationarity of the series is checked through Augmented Dickey-Fuller (ADF). Moreover, the ARDL approach is used to check short and long-run estimation of the model, estimating the determinants of the industrial sector growth in Pakistan. A long-run positive and significant associations between External debt (% of GDP), GDP (Annual Growth), FDI, Remittances (% of GDP) is identified, while trade has a negative effect on industrial growth. The factor remittances have an insignificant but positive influence on the industrial sector growth.

scholarly journals The African Continental Free Trade Area and Its Employment-Generation Potentials in Nigeria’s Industrial Sector

2021 ◽  
Vol 2 (2) ◽  
pp. 21-38
Author(s):  
Oziengbe Scott Aigheyisi ◽  
Keyword(s):  
Free Trade ◽  
Time Series Data ◽  
Free Trade Area ◽  
Industrial Sector ◽  
Global Market ◽  
Series Data ◽  
Trade Area ◽  
Long Run ◽  
Short Run ◽  
Employment Generation

The study empirically examines the employment generation potentials of the African Continental Free Trade Area (AfCFTA) in Nigeria’s industrial sector. The ARDL approach to cointegration and error correction modeling is employed for analysis of annual time series data covering the period 19912020. The study finds inter alia that the short run effect of expansion of intra-African trade (expected to result from the AfCFTA) on industrial sector employment is positive and statistically significant. The long run effect is also positive, but not statistically significant. It also finds that trade openness integration of the economy with the global market – significantly enhances employment generation in the nation’s industrial sector in the long run; though the short run effect is negative and significant. These suggest that the country’s membership of the AfCFTA and implementation of policies aimed at (cautiously) deepening the integration of the economy with the global market should be considered as supplementary avenues to achieving (sustainable) employment generation in the nation’s industrial sector in the short-and long-run. Other evidence-based policy recommendations are discussed.

Determinants of environmental degradation in Saudi Arabia: exploring the unexplored

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Tahir ◽  
Arshad Hayat ◽  
Umar Burki
Keyword(s):  
Saudi Arabia ◽  
Environmental Degradation ◽  
Time Series Data ◽  
Trade Openness ◽  
Negative Relationship ◽  
Series Data ◽  
Content Type ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run

Purpose Environmental degradation is recognized as a serious problem globally, and hence, Saudi Arabia is no exception. This paper aims to focus on the economy of Saudi Arabia to identify the determinants of environmental degradation. Design/methodology/approach Time series data spanning from 1971 to 2014 is used and analyzed using the recently developed autoregressive distributed lag modeling approach. Findings The obtained results reflected that natural resources, per person income and urbanization, have impacted environmental degradation both positively and significantly in the long run. Similarly, an insignificant negative relationship is established between trade openness and environmental degradation. Moreover, energy consumption has positively but insignificantly affected environmental degradation. In the short run, only per capita income has positively influenced environmental degradation while the rest of the variables have lost either significance levels or their direction of relationship has reversed. Originality/value As this is a pioneering study on the economy of Saudi Arabia, therefore, the authors assume that policymakers will find the findings of the current study very useful while formulating and implementing policies to control environmental degradation.

Factors Affecting International Reserves with Special Reference to India

2017 ◽  
Vol 21 (4) ◽  
pp. 339-349 ◽  
Author(s):  
Mohammad Kashif ◽  
P. Sridharan ◽  
S. Thiyagarajan
Keyword(s):  
Time Series Data ◽  
Trade Openness ◽  
Negative Relationship ◽  
International Reserves ◽  
Series Data ◽  
Macroeconomic Factors ◽  
Factors Affecting ◽  
Long Run ◽  
Short Run ◽  
The Impact

World international reserves holdings have accelerated sharply in recent times. Countries particularly developing ones are competitive enough to hoard these reserves and top 10 major holders are mostly from Asia. Interestingly India comes only ninth among them. Developing countries, particularly India, are in line to hoard foreign reserves and there are certain factors that affect international reserves holdings. This study analysed the impact of few macroeconomic factors on these reserves. Augmented Dickey Fuller (ADF) and Phillips-Perron (PP) tests were employed to check the stationarity of the variables on the time series data that were of annual frequency. It was found that all variables were co-integrated signalling long-run relationship. Error correction mechanism (ECM) was implemented to get short-run dynamics for which a negative relation was established for trade openness (TRDOP) which contradicts previous studies. The negative relationship of TRDOP with international reserves in India could be due to the outcome of sustained trade deficits of Indian balance of payments. The economic growth variable exhibits a positive relationship which is consistent with previous studies. All variables were found significant at a 5 per cent level. The ECM suggested the same results as its long-run counterpart.

scholarly journals FOREIGN INVESTMENT INFLOWS AND THE STRUGGLE FOR A RENEWED ECONOMIC GROWTH IN NIGERIA: AN ECONOMETRIC STUDY

2019 ◽  
Vol 7 (8) ◽  
pp. 88-103
Author(s):  
Aderopo Raphael Adediyan ◽  
Emmanuel Ekomoezor
Keyword(s):  
Economic Growth ◽  
Foreign Investment ◽  
Time Series Data ◽  
Positive Impact ◽  
Labour Force ◽  
Trade Openness ◽  
Series Data ◽  
Long Run ◽  
Short Run ◽  
Annual Time Series

This study attempts to find answer to the question of whether Nigeria should intensify effort to draw home more foreign investment; would more of foreign investment inflows accelerate Nigeria economic performance? Methodologically, annual time series data from 1986 to 2018 was analyzed using ARDL approach. The key findings are that, although FDI has long-run positive impact on economic growth, FPI has no operational effect on the growth; this is true of FPI both in the long-run and short-run. Furthermore, labour force and trade openness were found to have long-run and short-run positive impact on growth. Hence, government must tactically open up economy to trans-border trade, increase labour supply and intensify effort to attract more FDI.

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