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China's low fertility may not hinder future prosperity

China’s low fertility is often presented as a major factor which will hinder its prosperity in the medium to long term. This is based on the assumed negative consequences of an increasing old-age dependency ratio: a simplistic measure of relative changing age structures. Based on this view, policies...

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Autores principales: Marois, Guillaume, Gietel-Basten, Stuart, Lutz, Wolfgang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8501780/
https://www.ncbi.nlm.nih.gov/pubmed/34580226
http://dx.doi.org/10.1073/pnas.2108900118
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author Marois, Guillaume
Gietel-Basten, Stuart
Lutz, Wolfgang
author_facet Marois, Guillaume
Gietel-Basten, Stuart
Lutz, Wolfgang
author_sort Marois, Guillaume
collection PubMed
description China’s low fertility is often presented as a major factor which will hinder its prosperity in the medium to long term. This is based on the assumed negative consequences of an increasing old-age dependency ratio: a simplistic measure of relative changing age structures. Based on this view, policies to increase fertility are being proposed after decades of birth restriction policies. Here, we argue that a purely age structure–based reasoning which disregards labor force participation and education attainment may be highly misleading. While fertility has indeed fallen to low levels, human capital accumulation has been very strong—especially among younger cohorts. Factoring in the effects of labor force participation and educational attainment on productivity, a measure called “productivity-weighted labor force dependency ratio” can more accurately capture the economic implications of demographic change. When using this ratio, a much more optimistic picture of the economic (and social) future of China can be envisaged.
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spelling pubmed-85017802021-10-26 China's low fertility may not hinder future prosperity Marois, Guillaume Gietel-Basten, Stuart Lutz, Wolfgang Proc Natl Acad Sci U S A Social Sciences China’s low fertility is often presented as a major factor which will hinder its prosperity in the medium to long term. This is based on the assumed negative consequences of an increasing old-age dependency ratio: a simplistic measure of relative changing age structures. Based on this view, policies to increase fertility are being proposed after decades of birth restriction policies. Here, we argue that a purely age structure–based reasoning which disregards labor force participation and education attainment may be highly misleading. While fertility has indeed fallen to low levels, human capital accumulation has been very strong—especially among younger cohorts. Factoring in the effects of labor force participation and educational attainment on productivity, a measure called “productivity-weighted labor force dependency ratio” can more accurately capture the economic implications of demographic change. When using this ratio, a much more optimistic picture of the economic (and social) future of China can be envisaged. National Academy of Sciences 2021-10-05 2021-09-27 /pmc/articles/PMC8501780/ /pubmed/34580226 http://dx.doi.org/10.1073/pnas.2108900118 Text en Copyright © 2021 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by/4.0/This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Social Sciences
Marois, Guillaume
Gietel-Basten, Stuart
Lutz, Wolfgang
China's low fertility may not hinder future prosperity
title China's low fertility may not hinder future prosperity
title_full China's low fertility may not hinder future prosperity
title_fullStr China's low fertility may not hinder future prosperity
title_full_unstemmed China's low fertility may not hinder future prosperity
title_short China's low fertility may not hinder future prosperity
title_sort china's low fertility may not hinder future prosperity
topic Social Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8501780/
https://www.ncbi.nlm.nih.gov/pubmed/34580226
http://dx.doi.org/10.1073/pnas.2108900118
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