<div class="csl-bib-body">
<div class="csl-entry">Mason, A., Lee, R., Fürnkranz-Prskawetz, A., Binder-Hammer, B., & members of the NTA Network. (2022). Six Ways Population Change Will Affect the Global Economy. <i>Population and Development Review</i>, <i>48</i>(1), 51–73. https://doi.org/10.1111/padr.12469</div>
</div>
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dc.identifier.issn
0098-7921
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/136699
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dc.description.abstract
New estimates of economic flows by age combined with population projections show that in the coming decades (1) global GDP growth could be slower by about 1 percentage point per year, declining more sharply than population growth; (2) GDP will shift toward sub-Saharan Africa more than population trends suggest; (3) living standards of working-age adults may be squeezed by high spending on children and seniors; (4) changing population age distribution will raise living standards in many lower-income nations; (5) changing economic life cycles will amplify the economic effects of population aging in many higher income economies; and (6) population aging will likely push public debt, private assets, and perhaps productivity higher. Population change will have profound implications for national, regional, and global economies.
en
dc.language.iso
en
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dc.publisher
WILEY
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dc.relation.ispartof
Population and Development Review
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dc.subject
Demography
en
dc.subject
Development
en
dc.subject
Sociology and Political Science
en
dc.title
Six Ways Population Change Will Affect the Global Economy
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dc.type
Artikel
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dc.type
Article
en
dc.description.startpage
51
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dc.description.endpage
73
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Original Research Article
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48
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1
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International Co-publication
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X1
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A4
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außerhalb der gesamtuniversitären Forschungsschwerpunkte
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Mathematical Methods in Economics
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50
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50
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Population and Development Review
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E105-03 - Forschungsbereich Ökonomie
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tuw.publisher.doi
10.1111/padr.12469
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1728-4457
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23
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0000-0003-4578-1800
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Mathematical Methods in Economics and Stochastics
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E100
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members of the NTA Network
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en
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E105-03 - Forschungsbereich Ökonomie
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0000-0002-2850-6682
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E105 - Institut für Stochastik und Wirtschaftsmathematik
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E105 - Institut für Stochastik und Wirtschaftsmathematik