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How production networks amplify economic growth

Technological improvement is the most important cause of long-term economic growth. In standard growth models, technology is treated in the aggregate, but an economy can also be viewed as a network in which producers buy goods, convert them to new goods, and sell the production to households or othe...

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Detalles Bibliográficos
Autores principales: McNerney, James, Savoie, Charles, Caravelli, Francesco, Carvalho, Vasco M., Farmer, J. Doyne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8740592/
https://www.ncbi.nlm.nih.gov/pubmed/34949713
http://dx.doi.org/10.1073/pnas.2106031118
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author McNerney, James
Savoie, Charles
Caravelli, Francesco
Carvalho, Vasco M.
Farmer, J. Doyne
author_facet McNerney, James
Savoie, Charles
Caravelli, Francesco
Carvalho, Vasco M.
Farmer, J. Doyne
author_sort McNerney, James
collection PubMed
description Technological improvement is the most important cause of long-term economic growth. In standard growth models, technology is treated in the aggregate, but an economy can also be viewed as a network in which producers buy goods, convert them to new goods, and sell the production to households or other producers. We develop predictions for how this network amplifies the effects of technological improvements as they propagate along chains of production, showing that longer production chains for an industry bias it toward faster price reduction and that longer production chains for a country bias it toward faster growth. These predictions are in good agreement with data from the World Input Output Database and improve with the passage of time. The results show that production chains play a major role in shaping the long-term evolution of prices, output growth, and structural change.
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spelling pubmed-87405922022-01-25 How production networks amplify economic growth McNerney, James Savoie, Charles Caravelli, Francesco Carvalho, Vasco M. Farmer, J. Doyne Proc Natl Acad Sci U S A Social Sciences Technological improvement is the most important cause of long-term economic growth. In standard growth models, technology is treated in the aggregate, but an economy can also be viewed as a network in which producers buy goods, convert them to new goods, and sell the production to households or other producers. We develop predictions for how this network amplifies the effects of technological improvements as they propagate along chains of production, showing that longer production chains for an industry bias it toward faster price reduction and that longer production chains for a country bias it toward faster growth. These predictions are in good agreement with data from the World Input Output Database and improve with the passage of time. The results show that production chains play a major role in shaping the long-term evolution of prices, output growth, and structural change. National Academy of Sciences 2021-12-23 2022-01-04 /pmc/articles/PMC8740592/ /pubmed/34949713 http://dx.doi.org/10.1073/pnas.2106031118 Text en Copyright © 2021 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Social Sciences
McNerney, James
Savoie, Charles
Caravelli, Francesco
Carvalho, Vasco M.
Farmer, J. Doyne
How production networks amplify economic growth
title How production networks amplify economic growth
title_full How production networks amplify economic growth
title_fullStr How production networks amplify economic growth
title_full_unstemmed How production networks amplify economic growth
title_short How production networks amplify economic growth
title_sort how production networks amplify economic growth
topic Social Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8740592/
https://www.ncbi.nlm.nih.gov/pubmed/34949713
http://dx.doi.org/10.1073/pnas.2106031118
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