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The dynamics of coffee production in Brazil
Coffee is a crop of significant importance for Brazilian agrobusiness. There is evidence that both the geographic distribution of coffee production, and the varieties of coffee produced, have changed throughout Brazil over the course of time. Furthermore, it appears that these developments are assoc...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6650033/ https://www.ncbi.nlm.nih.gov/pubmed/31335891 http://dx.doi.org/10.1371/journal.pone.0219742 |
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author | Volsi, Bruno Telles, Tiago Santos Caldarelli, Carlos Eduardo da Camara, Marcia Regina Gabardo |
author_facet | Volsi, Bruno Telles, Tiago Santos Caldarelli, Carlos Eduardo da Camara, Marcia Regina Gabardo |
author_sort | Volsi, Bruno |
collection | PubMed |
description | Coffee is a crop of significant importance for Brazilian agrobusiness. There is evidence that both the geographic distribution of coffee production, and the varieties of coffee produced, have changed throughout Brazil over the course of time. Furthermore, it appears that these developments are associated with structural changes resulting from reductions in government intervention and its effects on prices in the coffee market, which has established a new dynamic of coffee production in the country. In this context, this study’s objective is to analyze the dynamics of coffee production in Brazil, to identify the Brazilian micro-regions specializing in coffee activities, and to track how the spatial distribution of these micro-regions has varied over time. In so doing, the study aims to identify defining economic characteristics of primary coffee-producing regions. Drawing primarily on data from the Brazilian Institute of Geography and Statistics, the study proceeds by applying Pearson correlation, Granger causality test, location quotient, principal components, and clustering analyses to explore how, during the 1984–2015 period, significant changes occurred in the distribution of regions specializing in coffee production. States such as Paraná and São Paulo, historically important coffee producers, declined in importance, leaving only a few micro-regions in these states specialized in coffee production. During the 2014/15 biennium, 80% of the coffee-specialized micro-regions were concentrated in the states of Minas Gerais, Bahia, Rondônia, and Espírito Santo. Minas Gerais and Bahia primarily produced arabica coffee, while Rondônia specialized in conilon (robusta) coffee. Overall, coffee produced in Brazil improved in quality and value-added over this period. |
format | Online Article Text |
id | pubmed-6650033 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-66500332019-07-25 The dynamics of coffee production in Brazil Volsi, Bruno Telles, Tiago Santos Caldarelli, Carlos Eduardo da Camara, Marcia Regina Gabardo PLoS One Research Article Coffee is a crop of significant importance for Brazilian agrobusiness. There is evidence that both the geographic distribution of coffee production, and the varieties of coffee produced, have changed throughout Brazil over the course of time. Furthermore, it appears that these developments are associated with structural changes resulting from reductions in government intervention and its effects on prices in the coffee market, which has established a new dynamic of coffee production in the country. In this context, this study’s objective is to analyze the dynamics of coffee production in Brazil, to identify the Brazilian micro-regions specializing in coffee activities, and to track how the spatial distribution of these micro-regions has varied over time. In so doing, the study aims to identify defining economic characteristics of primary coffee-producing regions. Drawing primarily on data from the Brazilian Institute of Geography and Statistics, the study proceeds by applying Pearson correlation, Granger causality test, location quotient, principal components, and clustering analyses to explore how, during the 1984–2015 period, significant changes occurred in the distribution of regions specializing in coffee production. States such as Paraná and São Paulo, historically important coffee producers, declined in importance, leaving only a few micro-regions in these states specialized in coffee production. During the 2014/15 biennium, 80% of the coffee-specialized micro-regions were concentrated in the states of Minas Gerais, Bahia, Rondônia, and Espírito Santo. Minas Gerais and Bahia primarily produced arabica coffee, while Rondônia specialized in conilon (robusta) coffee. Overall, coffee produced in Brazil improved in quality and value-added over this period. Public Library of Science 2019-07-23 /pmc/articles/PMC6650033/ /pubmed/31335891 http://dx.doi.org/10.1371/journal.pone.0219742 Text en © 2019 Volsi et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Volsi, Bruno Telles, Tiago Santos Caldarelli, Carlos Eduardo da Camara, Marcia Regina Gabardo The dynamics of coffee production in Brazil |
title | The dynamics of coffee production in Brazil |
title_full | The dynamics of coffee production in Brazil |
title_fullStr | The dynamics of coffee production in Brazil |
title_full_unstemmed | The dynamics of coffee production in Brazil |
title_short | The dynamics of coffee production in Brazil |
title_sort | dynamics of coffee production in brazil |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6650033/ https://www.ncbi.nlm.nih.gov/pubmed/31335891 http://dx.doi.org/10.1371/journal.pone.0219742 |
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