Characterizing the sectoral development of cities.
| Autor: | Rybski D; Potsdam Institute for Climate Impact Research-PIK, Member of Leibniz Association, Potsdam, Germany.; Department of Environmental Science Policy and Management, University of California Berkeley, Berkeley, CA, United States of America.; Complexity Science Hub Vienna, Vienna, Austria., Pradhan P; Potsdam Institute for Climate Impact Research-PIK, Member of Leibniz Association, Potsdam, Germany., Shutters ST; School of Complex Adaptive Systems, Arizona State University, Tempe, AZ, United States of America.; Global Climate Forum, Berlin, Germany., Butsic V; Department of Environmental Science Policy and Management, University of California Berkeley, Berkeley, CA, United States of America., Kropp JP; Potsdam Institute for Climate Impact Research-PIK, Member of Leibniz Association, Potsdam, Germany.; Institute of Earth and Environmental Science, University of Potsdam, Potsdam, Germany. |
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| Jazyk: | angličtina |
| Zdroj: | PloS one [PLoS One] 2021 Jul 14; Vol. 16 (7), pp. e0254601. Date of Electronic Publication: 2021 Jul 14 (Print Publication: 2021). |
| DOI: | 10.1371/journal.pone.0254601 |
| Abstrakt: | 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. Competing Interests: The authors declare no competing interests. |
| Databáze: | MEDLINE |
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