Abstract
The elderly population and economic growth have been a contentious topic among researchers. Regardless of the economic growth rate, the population and its growth have a stimulating influence on economic development. This study aims to explore the relationship between the elderly population and economic growth in 15 Asian countries, based on secondary data gathered from the WDI (World Development Indicators) from 1961 to 2021. This research contributes to filling the empirical gap, capturing the Granger causality concerning the relationship between the elderly population and economic growth in the Asian context in a single study. The empirical findings highlighted a one-way Granger causality from economic growth to the elderly population for India, Japan, Malaysia, and Singapore while vice versa for Bangladesh, China, and Pakistan. Furthermore, for Nepal, there is a two-way Granger causality, while there is no Granger causality for remaining countries. To the best of the authors’ knowledge, this study has been the first to investigate the relationship between the elderly population and economic growth for Asian nations, using a lengthy data series and a Granger causality test. The main findings will assist the governments, policymakers, and foreign investors in effective decision-making in this regard.
Publisher
Public Library of Science (PLoS)
Reference57 articles.
1. Six Ways Population Change Will Affect the Global Economy;Network MotN;Wiley Online Library,2022
2. ADB. Asian Development Bank 2022. https://www.adb.org/outlook.
3. Longevity and Economic Growth in China and India Using a Newly Developed Bootstrap ARDL Model;FL Lin;Frontiers in Public Health,2020
4. Impact of Population and Workforce Aging on Economic Growth: Case Study of Taiwan;W-H Huang;Sustainability,2019
5. Aging Population and Economic Growth in Developing Countries: A Quantile Regression Approach;TN Pham;Emerging Markets Finance and Trade,2021
Cited by
10 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献