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Economic Modelling
Article
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Economic Modelling
Article . 2019 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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SSRN Electronic Journal
Article . 2018 . Peer-reviewed
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EconStor
Research . 2018
Data sources: EconStor
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Natural Resources, Economic Growth and Geography

Authors: Rafael González-Val; Fernando Pueyo;

Natural Resources, Economic Growth and Geography

Abstract

Worldwide materials extraction increased by a factor of 8.4 over the course of the 20th century. In the meantime, global GDP and population increased by factors of about 22 and 4, respectively. This reveals that one of the key factors driving the increase in the exploitation of the resources was the growth in world population, although mitigated by the reduction in the intensity in the use of the resources in production. In this paper, we present a model that combines the theory of endogenous growth and the economy of natural resources, but taking into account the geographical distribution of economic activity. Indeed, the New Economic Geography provides insights about two elements that, although speeding up GDP growth, can curb the pressure on natural resources, namely the reduction in transports costs and a boost to pace of innovation.

Countries
Germany, Spain
Keywords

Q20, Geography, ddc:330, Endogenous Growth, O30 - General, O30, R12, Q20 - General, Renewable Resource, F43 - Economic Growth of Open Economies, R12 - Size and Spatial Distributions of Regional Economic Activity, F43, Industrial Location

  • BIP!
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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).
    49
    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 1%
    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!
49
Top 1%
Top 10%
Top 10%
bronze