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1.
PLoS One ; 14(5): e0217034, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-31091296

RESUMO

[This corrects the article DOI: 10.1371/journal.pone.0197616.].

2.
PLoS One ; 13(6): e0197616, 2018.
Artigo em Inglês | MEDLINE | ID: mdl-29874265

RESUMO

In this paper we introduce a novel algorithm, called Exogenous Fitness, to calculate the Fitness of subnational entities and we apply it to the states of Brazil. In the last decade, several indices were introduced to measure the competitiveness of countries by looking at the complexity of their export basket. Tacchella et al (2012) developed a non-monetary metric called Fitness. In this paper, after an overview about Brazil as a whole and the comparison with the other BRIC countries, we introduce a new methodology based on the Fitness algorithm, called Exogenous Fitness. Combining the results with the Gross Domestic Product per capita (GDPp), we look at the dynamics of the Brazilian states in the Fitness-Income plane. Two regimes are distinguishable: one with high predictability and the other with low predictability, showing a deep analogy with the heterogeneous dynamics of the World countries. Furthermore, we compare the ranking of the Brazilian states according to the Exogenous Fitness with the ranking obtained through two other techniques, namely Endogenous Fitness and Economic Complexity Index.


Assuntos
Países em Desenvolvimento/economia , Renda/estatística & dados numéricos , Fatores Socioeconômicos , Brasil , Países em Desenvolvimento/estatística & dados numéricos , Produto Interno Bruto/estatística & dados numéricos , Humanos , Expectativa de Vida
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