scholarly journals An Empirical Relationship Between Human Capital, Institutional Quality, and Economic Growth in Pakistan

2020 ◽  
Vol 16 ◽  
Author(s):  
Abdul Farooq ◽  
◽  
Sarah Arshi ◽  
Nyla Sattar ◽  
Amber Khalil
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Empirical Relationship ◽  
Impulse Response Function ◽  
Decomposition Analysis ◽  
Institutional Quality ◽  
Law And Order ◽  
Distributed Lag ◽  
Time Period ◽  
Variance Decomposition Analysis

Pakistan is a developing economy where different policies have been adopted to increase economic growth, but the targeted growth rates have remained an elusive dream. Low quality of institutions and less attention towards the development of human capital are two major reasons for this failure. This study explores the association of institutional quality and human capital on economic growth in Pakistan from the time period between years 1984 to 2018. For the estimation of our model, Auto-Regressive Distributed Lag (ARDL) model has been used. The variance decomposition analysis is also used to check the shocks, direction, and magnitude of the shocks within the selected variables. Impulse response function confirms that the magnitude and direction of the shocks are positive. The outcome of this research suggests that accumulation in human capital increases productivity, and institutional quality helps to sustain economic growth. Therefore, policy makers should design such policies, which are helpful for the development of human capital. It is also recommended that law and order situation be improved so that the confidence of people and trust of investors is restored that eventually will drive economic growth in Pakistan.

scholarly journals Impact of Natural Resource Rents and Institutional Quality on Human Capital: A Case Study of the United Arab Emirates

Resources ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 152 ◽  
Author(s):  
Ruba Aljarallah
Keyword(s):  
Human Capital ◽  
United Arab Emirates ◽  
Natural Resource ◽  
Positive Impact ◽  
Institutional Quality ◽  
Law And Order ◽  
Distributed Lag ◽  
Resource Rents ◽  
Natural Resource Rents

For many years, the United Arab Emirates has been using its natural resource wealth to develop infrastructure and attain economic growth. Nevertheless, human capital theory stresses the importance of human capital to reach sustainability in the long-term. This study examines the impacts of natural resource rents and institutional quality on human capital by applying the cointegration and error correction model based on the autoregressive distributed lag (ARDL) approach. The study uses corruption and law and order as proxies for institutional quality. The results indicate that one percent increases in resource rents and corruption decrease the human capital by 0.16% and 0.14%, respectively, in the long-term. Moreover, in the short-term, the current corruption and lag of resource rents have significant negative impacts on human capital. However, law and order has a positive impact on human capital in both the short and long-term. Thus, this study suggests that there is an instant need to prioritize education to reach long-term sustainability.

Fish Exports and Economic Growth: The Pakistan’s Experience

2019 ◽  
Vol 20 (2) ◽  
pp. 279-296 ◽  
Author(s):  
Syed Tehseen Jawaid ◽  
Mohammad Haris Siddiqui ◽  
Zeeshan Atiq ◽  
Usman Azhar
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Positive Impact ◽  
Impulse Response Function ◽  
Policy Implications ◽  
Sensitivity Analyses ◽  
Series Data ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run

This study attempts to explore first time ever the relationship between fish exports and economic growth of Pakistan by employing annual time series data for the period 1974–2013. Autoregressive distributed lag and Johansen and Juselius cointegration results confirm the existence of a positive long-run relationship among the variables. Further, the error correction model reveals that no immediate or short-run relationship exists between fish exports and economic growth. Different sensitivity analyses indicate that initial results are robust. Rolling window analysis has been applied to identify the yearly behaviour of fish exports, and it remains negative from 1979 to 1982, 1984 to 1988, 1993 to 1999, 2004 and from 2010 to 2013, and it shows positive impact from 1989 to 1992, 2000 to 2003 and from 2005 to 2009. Furthermore, the variance decomposition method and impulse response function suggest the bidirectional causal relationship between fish exports and economic growth. The findings are beneficial for policymakers in the area of export planning. This study also provides some policy implications in the final section.

scholarly journals The impact of education tax and investment in human capital on economic growth in Nigeria

2020 ◽  
Vol 3 (2) ◽  
pp. 77-86
Author(s):  
Abubakar Aminu ◽  
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Tertiary Education ◽  
Distributed Lag ◽  
Distributed Lag Model ◽  
Long Run ◽  
Lag Model ◽  
The Government ◽  
Capital Development ◽  
The Impact

This paper investigated the impact of education tax and investment in human capital on economic growth in Nigeria utilizing the Non-Linear Autoregressive Distributed Lag Model of cointegration covering the period of 25 years from 1995 to 2019. The findings reveal that education tax and investment in human capital have positive and significant effect on the growth of the Nigerian economy over the sampled period. The paper recommends that in order to boost the economy, Nigeria would need to, among other policy frameworks, provide a suitable environment for ensuring macro-economic stability through effective utilization of income from education tax that will encourage increased investment in human capital in the public sector. In addition to income from education tax, for effective and speedy economic growth and development in Nigeria, the government, beneficiaries (students/parents), employers of labor and other stakeholders in the society should share the responsibility for financing primary, secondary and tertiary education, so as to provide a solid foundation for human capital development. However, as revealed in this paper, the contribution of education tax and investment in human capital is most likely to be realized over a long-run period than in the short term. Keywords: Education Tax; Investment; Human capital; Economic growth

scholarly journals INSTITUTIONAL QUALITY AND ECONOMIC GROWTH IN JORDAN: NEW EVIDENCE USING AN AUTOREGRESSIVE DISTRIBUTED LAG (ARDL) MODEL

2021 ◽  
Vol 16 (3) ◽  
pp. 204-219
Author(s):  
ZULKEFLY ABDUL KARIM ◽  
◽  
MOHAMMAD QASIM ALABED QUSAI ◽  
FATHIN FAIZAH SAID ◽  
MOHD AZLAN SHAH ZAIDI
Keyword(s):  
Economic Growth ◽  
Institutional Quality ◽  
Ardl Model ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
New Evidence

The Linkage between Chittagong Stock Market and Dhaka Stock Market

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Muhammad Shahidullah Tasfiq ◽  
◽  
Nasrin Jahan
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Stock Price ◽  
Impulse Response Function ◽  
Decomposition Analysis ◽  
Variance Decomposition ◽  
Causality Test ◽  
Long Run ◽  
Short Run ◽  
Variance Decomposition Analysis

This paper aims at determining the relationship between the two domestic stock markets of Bangladesh – the Chittagong Stock Market (CSE) and the Dhaka Stock Market (DSE). The daily stock price indices that represent the performance of the two stock markets are collected. In order to find out the interdependent relationship, the Engle-Granger Cointegration test, Granger Causality test, Impulse Response Function, and Variance Decomposition Analysis are employed in this paper. The main finding of this study is that both the stock markets are related in the long run. However, there is a one-way short-run effect from the DSE on the CSE market. The CSE market quickly responds to the shock in the DSE market. But, the DSE market is not responsive to the CSE market. The variance decomposition analysis shows that most of the shocks in the CSE market are explained by its own market. On the other hand, a small number of shocks in the DSE market are explained by the CSE market as well as its own market.

scholarly journals Effect of Institutional Quality and Wealth from Oil Revenue on Economic Growth in Oil-Exporting Developing Countries

2019 ◽  
Vol 11 (13) ◽  
pp. 3635 ◽  
Author(s):  
Adewale Samuel Hassan ◽  
Daniel Francois Meyer ◽  
Sebastian Kot
Keyword(s):  
Economic Growth ◽  
Developing Countries ◽  
Institutional Quality ◽  
Linear Interaction ◽  
Distributed Lag ◽  
Oil Revenue ◽  
Long Run ◽  
Negative Effect ◽  
Short Run ◽  
Oil Wealth

This article investigates the role of institutional quality in the oil wealth–economic growth nexus for 35 oil-exporting developing countries between 1984 and 2016. To achieve this objective, an empirical model was employed with linear interaction between oil wealth and institutional quality, and estimated by means of panel autoregressive distributed lag (ARDL) with a dynamic fixed effect estimator. From the results, a contingent effect of oil wealth on economic growth, both in the long run and in the short run, was established. Specifically, institutional quality was found to mitigate the negative effect of oil wealth on economic growth in the long run, while in the short run, institutional quality was found to enhance the positive effect of oil wealth on economic growth. Furthermore, the results provide the threshold levels of institutional quality, beyond which oil wealth enhances economic growth, both in the long run and in the short run, for the sampled countries. These results suggest that in order for oil-exporting developing countries to benefit from an increase in oil wealth, they must adopt appropriate policy measures to improve their levels of institutional quality and embed their entire oil wealth-generating mechanism in a sound institutional framework. Also of importance is that governments must ensure sustainable development through the benefits of wealth from oil.

Investigating the Roles of Physical Infrastructure, Financial Development and Human Capital on Economic Growth in Bangladesh

2020 ◽  
Vol 12 (2) ◽  
pp. 154-175
Author(s):  
Faroque Ahmed ◽  
Md. Jamal Hossain ◽  
Mohammad Tareque
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Financial Development ◽  
Causality Test ◽  
Distributed Lag ◽  
Dynamic Relationship ◽  
Autoregressive Distributed Lag ◽  
Physical Infrastructure ◽  
Long Term Impact

This article investigates the dynamic relationship among physical infrastructure, financial development, human capital and economic growth in Bangladesh, employing Autoregressive Distributed Lag (ARDL) bound co-integration and Granger causality test for the period 1985–2019. The study finds a significantly positive long-term impact of physical infrastructure and human capital on economic growth. However, the effect of financial development on growth is found to be negative, and the result suggests that financial development will take place with economic growth. From the policy perspective, this study emphasises increasing investment in physical infrastructure and human capital for Bangladesh to foster long-term economic growth.

Nexus between Openness to Trade and Economic Growth: An Empirical Investigation of Afghanistan

2019 ◽  
Vol 20 (2) ◽  
pp. 205-223
Author(s):  
Nassir Ul Haq Wani
Keyword(s):  
Economic Growth ◽  
Trade Openness ◽  
Decomposition Analysis ◽  
Developed Countries ◽  
Least Square ◽  
Capital Goods ◽  
Promotion Strategy ◽  
Distributed Lag ◽  
Long Run ◽  
Volume Of Trade

The notion that the international trade is the foundation of economic growth dates long back, and even now, an irresistible body of literature confirms a strong and positive link between trade openness and economic growth. However, most of these studies are focused on developed countries. Indeed literature from developing countries are scant, those from under developed and a landlocked country like Afghanistan are almost non-existent. This article endeavours to innovatively scrutinize the relationship between trade liberalization and economic growth in Afghanistan, using biannual data for the period 1995–2016 and thus evaluates the comparative effect of three different measures of trade openness on the economic growth by using more rigorous econometric techniques. Autoregressive distributed lag (ARDL) method, JJ CO-integration and ordinary least square (OLS) results suggest significant positive long-run relationship between export and economic growth. In contrast, total volume of trade and imports have significant negative effect on the economic growth. The addition of variables and results of fully modified OLS suggest that the results are robust. The Granger causality and variance decomposition analysis indicate the unidirectional causality between trade openness and economic growth. In export model, causality runs from export to growth. Whereas, in the model with total volume of trade and import, causality runs from growth to total volume of trade and imports in Afghanistan. From the findings, it is concluded that the policymakers should focus on export promotion strategy to enhance the economic growth in Afghanistan. Besides, efficient utilization of capital goods should be ensured and reliance on non-capital goods should be less in order to ensure high domestic production in the country. JEL: F10, F43, C22

scholarly journals Investigating the Income Inequality in Indonesia: An Application of Autoregressive Distributed Lag Approach

2021 ◽  
Vol 2 (4) ◽  
pp. 184-193
Author(s):  
Zulfa Nazli ◽  
Abd. Jamal ◽  
Muhammad Nasir
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Income Inequality ◽  
Urban Population ◽  
Skills Training ◽  
Short Term ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Short And Long Term

This study investigates the effect of economic growth, urban population, unemployment, and human capital on income inequality in Indonesia. Annual data collected from World Development Indicator (WDI) is used from 1984 to 2019. The analytical method of this research is Autoregressive distributed lag (ARDL) to examine the short and long-term relationships. The results show that economic growth positively and significantly affects income inequality in the short and long term. The urban population variable has a significant negative effect in the short term but not in the long term. The unemployment variable has a significant positive effect in the long run. Finally, human capital negatively affects the short term while not in the long term. Based on these findings, it is recommended that the government stabilize inequality by increasing progressive taxes, creating jobs, providing soft skills training beyond formal education, and socializing the concept of commuter work.

scholarly journals Impact of Human Capital Underutilization on Economic Growth: the Case of India

2021 ◽  
Author(s):  
Vijaya Kumar M ◽  
Balu B
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Time Series Data ◽  
Negative Relationship ◽  
Series Data ◽  
International Labor Organization ◽  
Distributed Lag ◽  
Long Run ◽  
Integration Test ◽  
Adf Test

Abstract This study investigated the effect of human capital underutilization on the economic growth of India. It has used time-series data accessed from the International Labor Organization (ILO) and World Bank database. This paper estimated the relationship between the underutilization of human capital on economic growth by applying the econometric tests like Augmented Dickey-Fuller (ADF) Test, Johansen Integration Test, and the Autoregressive Distributed Lag (ARDL) model. The results revealed that in the long run human capital underutilization has a negative relationship on GDP and labor productivity and it does not in the short run. The study recommends that specific policy legislations in the Indian labor markets are required for addressing the problem of human capital underutilization and thereby accelerating the economic growth and productivity for the current and future generations.

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