scholarly journals Impact of Dependency Ratio on Economic Growth among Most Populated Asian Countries

2021 ◽  
Vol 2 (IV) ◽  
pp. 563-579
Author(s):  
Dilshad Ahmad
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.


2020 ◽  
Vol 54 (2) ◽  
Author(s):  
Sayema Haque Bidisha ◽  
S M Abdullah ◽  
Salina Siddiqua ◽  
Mohammad Mainul Islam

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.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Ikram ◽  
Yichen Shen ◽  
Marcos Ferasso ◽  
Idiano D’Adamo

Purpose This study aims to explore the effects of the COVID-19 outbreak on exports of goods and services, logistics performance, environmental management system (ISO 14001) certification and quality management system (ISO 9001) certification in top affected Asian countries of India, Iran, Indonesia, Philippines, Bangladesh and Pakistan. Design/methodology/approach A novel grey relational analysis models’ approach is used to examine the inter-relationship between COVID-19 economic growth and environmental performance. Moreover, the authors applied a conservative (maximin) model to investigate which countries have the least intensifying affected among all of the top affected COVID-19 Asian countries based on the SS degree of grey relation values. The data used in this study was collected from multiple databases during 2020 for analysis. Findings Results indicate that the severity of COVID-19 shows a strong negative association and influence of COVID-19 on the exportation of goods and services, logistics performance, ISO 9001 and ISO 14001 certifications in all the six highly affected countries during a pandemic outbreak. Although the adverse effects of COVID-19 in exporting countries persisted until December 31, 2020, their magnitude decreased over time in Indonesia and Pakistan. During the COVID-19 outbreak, Pakistan showed comparatively better performance among the six top highly affected Asian countries due to its smart locked down strategy and prevents its economy from severe damages. While India and Iran export drastically go down due to a rapid increase in the number of COVID-19 cases and deaths. Research limitations/implications The research findings produce much-required policy suggestions for leaders, world agencies and governments to take corrective measures on an emergent basis to prevent the economies from more damages and improve their logistics, environmental and quality performance during the pandemic of COVID-19. Originality/value This study develops a framework and investigates the intensifying effects of COVID-19 effects on economic growth, logistics performance, environmental performance and quality production processes.


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.


Jurnal Ecogen ◽  
2019 ◽  
Vol 1 (3) ◽  
pp. 681
Author(s):  
Muhammad Fajar ◽  
Zul Azhar

This research aims to know and analyze determine of corruption and the human development index to economic growth in Southeast Asian countries. This research use panel least square and Fixed Effect Model. The estimation result should that corruption has a possitive and significant effect on economic growth in Southeast Asian countries and the human development Index has a possitive and significant effect on economic growth in Southeast Asian countries. From the result of this research, to increase economic growth, the government in SoutheastAsian countries must strengthen the bureaucratic and legal institutions of a country,increase the role of the government or related agencies in monitoring and crackingdown on corruption that results in lossof government productivity and allocating resources appropriately so that the creation of peace and prosperity among the countries in Southeast Asian. Keywords: Economic Growth, Corruption, Human Development Index


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