How Does Dependency Ratio Affect Economic Growth In the Long Run? Evidence from Selected Asian Countries

2020 ◽  
Vol 54 (2) ◽  
Author(s):  
Sayema Haque Bidisha ◽  
S M Abdullah ◽  
Salina Siddiqua ◽  
Mohammad Mainul Islam
2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kashif Munir ◽  
Faqeer Syed Umaid Shahid

PurposeThis study examines the long-run and short-run impact of demographic factors, i.e. life expectancy, fertility rate and young dependency ratio in determining the economic growth of South Asian countries.Design/methodology/approachThe theoretical foundation of the study relies on demographic transition theory and incorporates life expectancy, fertility rate and young dependency ratio into the production function by means of human capital component. The study uses annual panel data of four South Asian courtiers, i.e. Bangladesh, India, Pakistan and Sri Lanka from 1980 to 2018 and utilizes panel ARDL model to analyze the long run and short run impact of demographic factors on economic growth.FindingsResults show that real stock of capital, fertility rate and life expectancy are positively related with economic growth, while an increase in young dependency ratio reduces economic growth in South Asian countries in the long run. Short-run dynamics show that real stock of capital and life expectancy have insignificant impact on economic growth, while young dependency ratio has negative and significant as well as life expectancy has positive and significant impact on economic growth in South Asian countries. Unidirectional causality exists from young dependency ratio and fertility rate to GDP per capita in the short run.Practical implicationsGovernment has to design policies for better health and education facilities to yield high economic growth as well as better infrastructure and macroeconomic stability to facilitate capital accumulation in the region to foster economic growth.Originality/valueThis study considerably adds into the existing literature by providing better understanding of various demographic aspects and their economic inference by highlighting the demographic changes that South Asia has endured. This study is also beneficial for policymakers and growth analysts in generating effective and sustainable policies regarding population dynamics and economic development of the region.


Author(s):  
Cher Chen ◽  
GholamReza Zandi Pour ◽  
Edwin R. de Los Reyes

This study aimed to evaluate the association of financial development and economic growth by considering the case of 10 Asian countries. The study used quantitative research design where the preliminary testing was conducted using descriptive statistics and unit root testing. The sample size comprised of 10 emerging Asian countries (India, China, Malaysia, Philippines, Pakistan, Thailand, Singapore, Bhutan, Vietnam, and Bangladesh) and the time-frame for the study was 1990 to 2018. The main techniques of analysis were Pedroni cointegration, dynamic panel least squares (DOLS) and Granger Causality. This study concluded that long-run equilibrium existed between financial development and economic growth. The research was limited to the case of Asian countries, therefore, in future, the evaluation of European countries can be conducted or African region can also be undertaken into consideration.


Author(s):  
Muhammad Imran Nazir ◽  
Rehana Tabassam ◽  
Ifran Khan ◽  
Muhammad Rizwan Nazir

This study investigates the causal relationship between banking sector development, inflation, and economic growth for six Asian countries (Bangladesh, China, India, Malaysia, Pakistan and Sri Lanka) over the period of 1970-2016. Using a Pedroni panel, Kao co-integration test, Panel Granger causality-based Error Correction Model, Dynamic ordinary least square (DOLS), and Fully modified ordinary least square (FMOLS), this study finds that the development of the banking sector generally has a positive relationship with economic growth in the long-run. This results show that in the long-run, monetary policy play a vital role in the economic growth. This study also confirmed the response causality between the indicators of banking sector development and economic growth. Based on the empirical findings, this research provides important policy implications to the banking sector and economic supervisory bodies in order to achieve the long run economic growth.


Author(s):  
Mohsen Mehrara ◽  
Maysam Musai

This paper investigates the causal relationship between education and GDP in 40 Asian countries by using panel unit root tests and panel cointegration analysis for the period 1970-2010. A three-variable model is formulated with capital formation as the third variable. The results show a strong causality from investment and economic growth to education in these countries. Yet, education does not have any significant effects on GDP and investment in short- and long-run. It means that it is the capital formation and GDP that drives education in mentioned countries, not vice versa. So the findings of this paper support the point of view that it is higher economic growth that leads to higher education proxy. It seems that as the number of enrollments raise, the quality of the education declines. Moreover, the formal education systems are not market oriented in these countries. This may be the reason why huge educational investments in these developing countries fail to generate higher growth. By promoting practice-oriented training for students particularly in technical disciplines and matching education system to the needs of the labor market, it will help create long-term jobs and improve the country’s future prospects.


Author(s):  
Faiza Manzoor ◽  
Longbao Wei ◽  
Muhammad Asif ◽  
Muhammad Zia ul Haq ◽  
Hafiz ur Rehman

In the global economy, tourism is one of the most noticeable and growing sectors. Thissector plays an important role in boosting a nation’s economy. An increase in tourism flow canbring positive economic outcomes to the nations, especially in gross domestic product (GDP) andemployment opportunities. In South Asian countries, the tourism industry is an engine ofeconomic development and GDP growth. This study investigates the impact of tourism onPakistan’s economic growth and employment. The period under study was from 1990 to 2015. Tocheck whether the variables under study were stationary, augmented Dickey–Fuller andPhillips–Perron unit root tests were applied. A regression technique and Johansen cointegrationapproach were employed for the analysis of data. The key finding of this study shows that there isa positive and significant impact of tourism on Pakistan’s economic growth as well as employmentsector and there is also a long‐run relationship among the variables under study. This studysuggests that legislators should focus on the policies with special emphasis on the promotion oftourism due to its great potential throughout the country. Policy implications of this recent studyand future research suggestions are also mentioned.


2020 ◽  
Vol 9 (2) ◽  
pp. 279-295 ◽  
Author(s):  
Hummera Saleem ◽  
Malik Shahzad Shabbir ◽  
Muhammad Bilal khan

PurposeThe purpose of this study is to analyze the dynamic causal relationship between foreign direct investment (FDI), gross domestic product (GDP) and trade openness (TO) on a set of five selected South Asian countries.Design/methodology/approachThis study used newly developed bootstrap auto regressive distributed lags (ARDL) cointegration test to examine the long-run relationship among FDI, GDP and TO for selected South Asian countries for 1975–2016.FindingsThe economic growth (EG) is significantly related to TO for Bangladesh, India and Sri Lanka and the expansion of TO is crucial for growth in these countries. The results show that all countries (except Bangladesh) found the existence of long-run cointegration between FDI, GDP and TO, whereas FDI is a dependent variable. These results concluded that FDI and TO are contributing to EG in these selected countries.Originality/valueThis study is one of the first attempts to investigate the causal relationship and address the short and long dynamic among FDI, GDP and TO regarding five south Asian countries such as Bangladesh, India, Nepal, Pakistan and Sri Lanka.


2021 ◽  
Vol 8 ◽  
Author(s):  
Yusuf Babatunde Adeneye ◽  
Amar Hisham Jaaffar ◽  
Chai Aun Ooi ◽  
Say Keat Ooi

This study investigates the dynamic relationships between carbon emission, urbanization, energy consumption, and economic growth in a panel of 42 Asian countries for the period 2000–2014 using dynamic common correlated effects panel data modeling. This study employs second generation cross-sectional Pesaran (J. Appl. Econom., 2007, 22(2), 265-312) panel unit root, Westerlund panel cointegration tests (Econom. Stat., 2007, 69(6), 709-748), and Pesaran’s (Econometrica, 2006, 74(4), 967-1012) common correlated effects mean group estimation technique. These approaches allow for cross-sectional dependence, and are robust to the presence of common factors, serial correlation, and slope heterogeneity. The Common Correlated Effect Mean Group test reveals a high average coefficient of 0.602 between carbon emission and energy consumption while low coefficients of 0.114 and 0.184 for the pairs of carbon emission-urbanization and carbon emission-GDP, respectively for the panel as a whole, suggesting a cointegration between carbon emission, urbanization, energy consumption, and economic growth. The results indicate that there is relatively high carbon emission especially for highly populated and geopolitical risk Asian countries in the short run. Findings reveal long run relationships between the variables, which is attributed to the on-going carbon taxation and energy prices. Our results are robust to PMG-ARDL estimator. Overall, these findings cast important implications on renewable energy policy and urban planning insights for the policymakers.


Author(s):  
Hind Lebdaoui ◽  
Joerg Wild

Purpose The purpose of this study is to empirically assess the relationship between Islamic banking presence in Southeast Asian countries and the economic growth. Design/methodology/approach The presence of Islamic banks is measured by the ratio of Islamic to conventional banking assets as well as the ratio of deposits of Islamic to conventional banking. This study starts by checking the presence of cointegration using Pedroni’s and Westerlund’s specifications; short- and long-run dynamics are further analyzed with the panel autoregressive distributed lag model (ARDL)-based estimators: pooled mean group (PMG), mean group (MG) and dynamic fixed effect (DFE). Furthermore, a two-stage regression [two-stage least squares (2SLS)] was constructed to measure the sensitivity of economic growth to the Islamic banking presence. Quarterly data from Southeast Asian countries cover the period between 2000Q1 and 2012Q4. Findings A long-run relationship is evident between economic growth and the Islamic banking presence in the selected region, but not in the short run. Furthermore, the Muslim population share in a given country plays a positive and statistically significant role in fueling the contribution of Islamic banking share in the financial sector on the economic growth. Social implications The results of this study show that Sharia-compliant banks succeeded in mobilizing additional resources for the financial sector, which may increase the stability of the banking system and the efficiency of the whole banking sector. The authors believe that the inclusion of Islamic banking products in the financial systems will, along with the diversification effect, stimulate financial deepening and, therefore, improve the financial stability in the countries under investigation in particular, and all countries with significant Muslim population in general. Originality/value This study empirically assesses the contribution of Islamic banking presence on the economic growth with a focus on Southeast Asia, as this region encompasses the most developed and experienced institutions in the field of Islamic finance. Error correction-based models such as PMG, MG and DFE lend itself to the analysis of the panel data. This study also uses the instrument-based 2SLS to cope with the endogeneity problem between the real and financial sectors.


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