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Journal of Population Economics
Article . 2005 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
SSRN Electronic Journal
Article . 2004 . Peer-reviewed
Data sources: Crossref
EconStor
Research . 2004
Data sources: EconStor
EconStor
Research . 2004
Data sources: EconStor
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Population, Population Density, and Technological Change

Authors: Stephan Klasen; Thorsten Nestmann;

Population, Population Density, and Technological Change

Abstract

In a model on population and endogenous technological change, Kremer (1993) combines a short-run Malthusian scenario where income determines the population that can be sustained, with the Boserupian insight that greater population spurs technological change and can therefore lift a country out of its Malthusian trap. We show that a more realistic version of the model, which combines population and population density, allows deeper insights into these processes. The incorporation of population density also allows a superior interpretation of the empirical regularities between the level of population, population density, population growth, and economic development at aggregated and disaggregated levels.

Country
Germany
Keywords

ddc:330, Welt, Bevölkerungsentwicklung, O3, N3, Bevölkerungsökonomie, Bevölkerungsdichte, J1, Technischer Fortschritt, Endogener technischer Fortschritt, Theorie, jel: jel:O3, jel: jel:N3, jel: jel:J1

  • BIP!
    Impact byBIP!
    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).
    62
    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.
    Average
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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!
62
Top 10%
Top 10%
Average
Green
bronze