Population Growth and Automation Density: Theory and CrossCountry Evidence
Ana Lucia Abeliansky and
Klaus Prettner
No 2102, VID Working Papers from Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna
Abstract:
We analyse the effects of declining population growth on automation. Theoretical considerations imply that countries with lower population growth introduce automation technologies faster than those with higher population growth. We test the theoretical implication on panel data for 60 countries over the time span 1993-2013. Regression estimates support the theoretical implication, suggesting that a one percent increase in population growth is associated with an approximately two percent reduction in the growth rate of robot density. Our results are robust to the inclusion of standard control variables, different estimation methods, dynamic specifications, and changes with respect measuring robot stocks.
Keywords: Automation; Industrial Robots; Demographic Change; Declining Fertility (search for similar items in EconPapers)
Pages: 40 pages
Date: 2021-10
New Economics Papers: this item is included in nep-age, nep-dem, nep-gro and nep-tid
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://epub.oeaw.ac.at/0xc1aa5576_0x003ce822.pdf
Our link check indicates that this URL is bad, the error code is: 502 Bad Gateway
Related works:
Working Paper: Population growth and automation density: theory and cross-country evidence (2021) 
Working Paper: Population growth and automation density: theory and cross-country evidence (2021) 
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:vid:wpaper:2102
Access Statistics for this paper
More papers in VID Working Papers from Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna
Bibliographic data for series maintained by Bernhard Rengs ().