Demographic change, technological advance, and growth: A cross-country analysis
Cyn-Young Park (),
Kwanho Shin and
Aiko Kikkawa
Economic Modelling, 2022, vol. 108, issue C
Abstract:
Population aging presents major policy challenges across the world. However, the impact on economic growth of this demographic trend remains unclear. This paper empirically investigates the impact of population aging on economic growth by considering changes in the entire age distribution of populations of over 170 countries. We find that a rise in older people as a percentage of the general population, alongside a shrinking working-age population, lowers economic growth. We also investigate the effect of technological advances on the relation between population aging and economic growth, using four plausible proxies of technological advancement: life expectancy, labor productivity, automation (robots), and total factor productivity. The analysis suggests that increasing life expectancy, total factor productivity and labor productivity help older age groups contribute more positively to future growth. More automation also benefits old age groups by reducing the old age disadvantage, therefore slowing the decline in their productivity.
Keywords: Demographic change; Life expectancy; Labor productivity; Robotics; Growth (search for similar items in EconPapers)
JEL-codes: J11 J24 O33 O47 O57 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S026499932100331X
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Demographic Change, Technological Advances, and Growth: A Cross-Country Analysis (2020) 
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:eee:ecmode:v:108:y:2022:i:c:s026499932100331x
DOI: 10.1016/j.econmod.2021.105742
Access Statistics for this article
Economic Modelling is currently edited by S. Hall and P. Pauly
More articles in Economic Modelling from Elsevier
Bibliographic data for series maintained by Catherine Liu ().