Population aging and economic growth: evidence from ASEAN countries
Nguyen Thanh Trong,
Nguyen Thi Dong and
Pham Thi Ly
Cogent Business & Management, 2024, vol. 11, issue 1, 2298055
Abstract:
Numerous recent empirical studies underscore the adverse impacts of an aging population on economic growth. This could stem from reduced labor force participation and productivity among older workers, or the potential for aging to result in an imbalance between savings and desired investment, consequently leading to a state of secular stagnation. This study employs the fixed effect model (FEM) and utilizes data from 7 ASEAN countries during the period 2001–2021 to assess the impact of population aging on economic growth. The results clearly indicate that an old-aged dependency harms GDP per capita growth, while the productive young workers in the ASEAN region remain a significant resource for overall economic development and GDP per capita growth. Alongside demographic variables, institutions, investment rates, and trade openness also serve as driving factors in promoting GDP per capita growth. The data also demonstrates that more developed countries will experience population aging at a faster rate. Therefore, the socio-economic development policies of ASEAN countries need to consider changes in population age structure in order to propose appropriate economic strategies for development.
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/23311975.2023.2298055 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:oabmxx:v:11:y:2024:i:1:p:2298055
Ordering information: This journal article can be ordered from
http://cogentoa.tandfonline.com/journal/OABM20
DOI: 10.1080/23311975.2023.2298055
Access Statistics for this article
Cogent Business & Management is currently edited by Len Tiu Wright and Tahir Nisar
More articles in Cogent Business & Management from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().