Dynamics in the Fitness-Income plane: Brazilian states vs World countries

PLoS One. 2018 Jun 6;13(6):e0197616. doi: 10.1371/journal.pone.0197616. eCollection 2018.

Abstract

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.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Brazil
  • Developing Countries / economics*
  • Developing Countries / statistics & numerical data
  • Gross Domestic Product / statistics & numerical data
  • Humans
  • Income / statistics & numerical data*
  • Life Expectancy
  • Socioeconomic Factors*

Grants and funding

FGO and JSAJ have been funded by the Brazilian Agency: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (www.capes.gov.br). JSAJ also has been funded by Conselho Nacional de Desenvolvimento Científico e Tecnológico (www.cnpq.br), Fundação Cearense de Apoio ao Desenvolvimento Científico e Tecnológico (www.funcap.ce.gov.br), and National Institute of Science and Technology for Complex Systems (www.cbpf.br/inct-sc). EP, AG, and LP have been funded by the Italian PNR project CRISIS-Lab.