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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Public Library of Science (PLoS)
2021
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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) |
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Medicine R Science Q Diego Rybski Prajal Pradhan Shade T Shutters Van Butsic Jürgen P Kropp Characterizing the sectoral development of cities. |
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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 |
_version_ |
1718375307785797632 |