Characterizing the sectoral development of cities.

Previous research has identified a predictive model of how a nation's distribution of gross domestic product (GDP) among agriculture (a), industry (i), and services (s) changes as a country develops. Here we use this national model to analyze the composition of GDP for US Metropolitan Statistic...

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Autores principales: Diego Rybski, Prajal Pradhan, Shade T Shutters, Van Butsic, Jürgen P Kropp
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Publicado: Public Library of Science (PLoS) 2021
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Acceso en línea:https://doaj.org/article/68fbb783bc7d4f6b8e4691bd6cf62630
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spelling oai:doaj.org-article:68fbb783bc7d4f6b8e4691bd6cf626302021-12-02T20:07:01ZCharacterizing the sectoral development of cities.1932-620310.1371/journal.pone.0254601https://doaj.org/article/68fbb783bc7d4f6b8e4691bd6cf626302021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0254601https://doaj.org/toc/1932-6203Previous research has identified a predictive model of how a nation's distribution of gross domestic product (GDP) among agriculture (a), industry (i), and services (s) changes as a country develops. Here we use this national model to analyze the composition of GDP for US Metropolitan Statistical Areas (MSA) over time. To characterize the transfer of GDP shares between the sectors in the course of economic development we explore a simple system of differential equations proposed in the country-level model. Fitting the model to more than 120 MSAs we find that according to the obtained parameters MSAs can be classified into 6 groups (consecutive, high industry, re-industrializing; each of them also with reversed development direction). The consecutive transfer (a → i → s) is common but does not represent all MSAs examined. At the 95% confidence level, 40% of MSAs belong to types exhibiting an increasing share of GDP from agriculture. In California, such MSAs, which we classify as part of an agriculture renaissance, are found in the Central Valley.Diego RybskiPrajal PradhanShade T ShuttersVan ButsicJürgen P KroppPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 7, p e0254601 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Diego Rybski
Prajal Pradhan
Shade T Shutters
Van Butsic
Jürgen P Kropp
Characterizing the sectoral development of cities.
description Previous research has identified a predictive model of how a nation's distribution of gross domestic product (GDP) among agriculture (a), industry (i), and services (s) changes as a country develops. Here we use this national model to analyze the composition of GDP for US Metropolitan Statistical Areas (MSA) over time. To characterize the transfer of GDP shares between the sectors in the course of economic development we explore a simple system of differential equations proposed in the country-level model. Fitting the model to more than 120 MSAs we find that according to the obtained parameters MSAs can be classified into 6 groups (consecutive, high industry, re-industrializing; each of them also with reversed development direction). The consecutive transfer (a → i → s) is common but does not represent all MSAs examined. At the 95% confidence level, 40% of MSAs belong to types exhibiting an increasing share of GDP from agriculture. In California, such MSAs, which we classify as part of an agriculture renaissance, are found in the Central Valley.
format article
author Diego Rybski
Prajal Pradhan
Shade T Shutters
Van Butsic
Jürgen P Kropp
author_facet Diego Rybski
Prajal Pradhan
Shade T Shutters
Van Butsic
Jürgen P Kropp
author_sort Diego Rybski
title Characterizing the sectoral development of cities.
title_short Characterizing the sectoral development of cities.
title_full Characterizing the sectoral development of cities.
title_fullStr Characterizing the sectoral development of cities.
title_full_unstemmed Characterizing the sectoral development of cities.
title_sort characterizing the sectoral development of cities.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/68fbb783bc7d4f6b8e4691bd6cf62630
work_keys_str_mv AT diegorybski characterizingthesectoraldevelopmentofcities
AT prajalpradhan characterizingthesectoraldevelopmentofcities
AT shadetshutters characterizingthesectoraldevelopmentofcities
AT vanbutsic characterizingthesectoraldevelopmentofcities
AT jurgenpkropp characterizingthesectoraldevelopmentofcities
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