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Article . 2017 . Peer-reviewed
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Research . 2017
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Automation and Demographic Change

Authors: Abeliansky, Ana; Prettner, Klaus;

Automation and Demographic Change

Abstract

We analyze the e ects of declining population growth on automation. A simple theoretical model of capital accumulation predicts that countries with lower population growth introduce automation technologies earlier. We test the theoretical prediction on panel data for 60 countries over the time span 1993-2013. Regression estimates support the theoretical prediction, suggesting that a 1% increase in population growth is associated with an approximately 2% reduction in the growth rate of robot density. Our results are robust to the inclusion of standard control variables, different estimation methods, dynamic speci cations, and changes to the measurement of the stock of robots.

Country
Germany
Keywords

O33, 330, Economics, ddc:330, Demographic Change, Bevölkerungsentwicklung, J11, O40, economic growth, O14, Declining Fertility, Automation, industrial robots, demographic change, declining labor force, population growth, Economic Growth, Industrial Robots, Declining Population Growth, automation

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    35
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
35
Top 10%
Top 10%
Top 10%
bronze