Determination of econometric factors impacting coffee production in Minas Gerais

Detalhes bibliográficos
Autor(a) principal: Galvão, Luciano Ribeiro
Data de Publicação: 2022
Outros Autores: Bueno Filho, Júlio Sílvio de Sousa, Pamplona, Andrezza Kellen Alves, Chain, Caio Peixoto
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/29264
Resumo: The study of the relationships between the econometric components of coffee production, estimated by correlations, for example, is of great relevance. These metrics provide useful information for the decision process in the production chain of this commodity. However, the quantification and interpretation of the correlation’s magnitude do not imply direct and indirect effects applicable to the agribusiness reality. In this context, trail analysis presents as a viable alternative. The objective of this work was, through trail analysis, to determine the direct and indirect effects of econometric components on coffee production. The data used are from coffee producing municipalities in Minas Gerais, in the period from 2008 to 2013, in which coffee production was observed as the basic (dependent) variable and as independent (explanatories) variables the harvested area of the grain, the average age of the workers in the field, the average remuneration of workers in the activity, the price paid for the product and the number of producing properties per municipality. There was a strong variation with year and municipality effects, with the rest of the explanation referring more to the primary variables (planted area and number of properties in the municipality), trail coefficients 0.38 and 0.05, respectively. The other variables interfere indirectly, through the modification of both. Path analysis proved to be useful in elucidating part of the coffee production chain variability and can be used as an aid in making business decisions in the sector.
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spelling Determination of econometric factors impacting coffee production in Minas GeraisDeterminación de factores econométricos que impactan la producción de café en Minas GeraisDeterminação dos fatores econométricos de impacto na produção cafeeira em Minas GeraisCaféAnálise de trilhaCorrelaçãoComponentes econométricos.Análise de rastroCaféCorrelaciónComponentes econométricos.Path analysisCorrelationCoffeeEconometric components.The study of the relationships between the econometric components of coffee production, estimated by correlations, for example, is of great relevance. These metrics provide useful information for the decision process in the production chain of this commodity. However, the quantification and interpretation of the correlation’s magnitude do not imply direct and indirect effects applicable to the agribusiness reality. In this context, trail analysis presents as a viable alternative. The objective of this work was, through trail analysis, to determine the direct and indirect effects of econometric components on coffee production. The data used are from coffee producing municipalities in Minas Gerais, in the period from 2008 to 2013, in which coffee production was observed as the basic (dependent) variable and as independent (explanatories) variables the harvested area of the grain, the average age of the workers in the field, the average remuneration of workers in the activity, the price paid for the product and the number of producing properties per municipality. There was a strong variation with year and municipality effects, with the rest of the explanation referring more to the primary variables (planted area and number of properties in the municipality), trail coefficients 0.38 and 0.05, respectively. The other variables interfere indirectly, through the modification of both. Path analysis proved to be useful in elucidating part of the coffee production chain variability and can be used as an aid in making business decisions in the sector.El estudio de las relaciones entre los componentes econométricos de la producción de café, estimados por correlaciones, es de gran relevancia. Ellas brindan información útil para el proceso de decisión en la cadena productiva de este producto básico. La cuantificación e interpretación de la magnitud de las correlaciones no implican efectos directos e indirectos aplicables a la realidad de los agronegocios. Así, el análisis de senderos se presenta como una alternativa viable. Este trabajo tuvo como objetivo, a través del análisis de senderos, determinar los efectos directos e indirectos de los componentes econométricos en la producción de café. Los datos son de municipios productores de café de Minas Gerais, período de 2008 a 2013, teniendo como variable básica (dependiente) la producción de café y como variables independientes (explicativas) el área cosechada del grano, la edad promedio de los trabajadores del campo, la remuneración promedio de los trabajadores de la actividad, el precio pagado por el producto y el número de propiedades productoras por municipio. Hubo una fuerte variación con los efectos de año y municipio, con el resto de la explicación refiriéndose más a las variables primarias (área sembrada y número de propiedades en el municipio), coeficientes de rastro 0.38 y 0.05, respectivamente. Las otras variables interfieren indirectamente, a través de la modificación de estas dos. El análisis de trayectoria demostró ser útil para dilucidar parte de la variabilidad de la cadena productiva del café y puede utilizarse como ayuda para la toma de decisiones comerciales en el sector.O estudo das relações existentes entre os componentes econométricos da produção de café, estimadas por correlações, por exemplo, é de grande relevância. Estas métricas fornecem informações úteis para o processo de decisão na cadeia produtiva dessa commodity. Todavia, a quantificação e a interpretação da magnitude das correlações não implicam efeitos diretos e indiretos aplicáveis a realidade do agronegócio. Nesse contexto, a análise de trilha apresenta-se como uma alternativa viável. O objetivo deste trabalho foi, através da análise de trilha, determinar os efeitos diretos e indiretos de componentes econométricos sobre a produção de café. Os dados utilizados são de municípios mineiros produtores de café, no período de 2008 a 2013, nos quais foi observada a produção de café como a variável básica (dependente) e como variáveis independentes (explicativas) a área colhida do grão, a idade média dos trabalhadores no campo, a remuneração média dos trabalhadores na atividade, o preço pago pelo produto e o número de propriedades produtoras por município. Observou-se forte variação com efeitos de ano e de município, sendo que o restante da explicação se refere mais às variáveis primárias (área plantada e número de propriedades do município - coeficientes de trilha 0,38 e 0,05, respectivamente). As demais variáveis interferem indiretamente, por meio da modificação dessas duas. A análise de trilha mostrou-se útil em elucidar parte da variabilidade da cadeia produtiva do café e poderá ser usada como auxiliar na tomada de decisões de negócio do setor.Research, Society and Development2022-05-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2926410.33448/rsd-v11i6.29264Research, Society and Development; Vol. 11 No. 6; e39611629264Research, Society and Development; Vol. 11 Núm. 6; e39611629264Research, Society and Development; v. 11 n. 6; e396116292642525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/29264/25335Copyright (c) 2022 Luciano Ribeiro Galvão; Júlio Sílvio de Sousa Bueno Filho; Andrezza Kellen Alves Pamplona; Caio Peixoto Chainhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessGalvão, Luciano Ribeiro Bueno Filho, Júlio Sílvio de Sousa Pamplona, Andrezza Kellen Alves Chain, Caio Peixoto 2022-05-13T18:04:10Zoai:ojs.pkp.sfu.ca:article/29264Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:46:24.079302Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Determination of econometric factors impacting coffee production in Minas Gerais
Determinación de factores econométricos que impactan la producción de café en Minas Gerais
Determinação dos fatores econométricos de impacto na produção cafeeira em Minas Gerais
title Determination of econometric factors impacting coffee production in Minas Gerais
spellingShingle Determination of econometric factors impacting coffee production in Minas Gerais
Galvão, Luciano Ribeiro
Café
Análise de trilha
Correlação
Componentes econométricos.
Análise de rastro
Café
Correlación
Componentes econométricos.
Path analysis
Correlation
Coffee
Econometric components.
title_short Determination of econometric factors impacting coffee production in Minas Gerais
title_full Determination of econometric factors impacting coffee production in Minas Gerais
title_fullStr Determination of econometric factors impacting coffee production in Minas Gerais
title_full_unstemmed Determination of econometric factors impacting coffee production in Minas Gerais
title_sort Determination of econometric factors impacting coffee production in Minas Gerais
author Galvão, Luciano Ribeiro
author_facet Galvão, Luciano Ribeiro
Bueno Filho, Júlio Sílvio de Sousa
Pamplona, Andrezza Kellen Alves
Chain, Caio Peixoto
author_role author
author2 Bueno Filho, Júlio Sílvio de Sousa
Pamplona, Andrezza Kellen Alves
Chain, Caio Peixoto
author2_role author
author
author
dc.contributor.author.fl_str_mv Galvão, Luciano Ribeiro
Bueno Filho, Júlio Sílvio de Sousa
Pamplona, Andrezza Kellen Alves
Chain, Caio Peixoto
dc.subject.por.fl_str_mv Café
Análise de trilha
Correlação
Componentes econométricos.
Análise de rastro
Café
Correlación
Componentes econométricos.
Path analysis
Correlation
Coffee
Econometric components.
topic Café
Análise de trilha
Correlação
Componentes econométricos.
Análise de rastro
Café
Correlación
Componentes econométricos.
Path analysis
Correlation
Coffee
Econometric components.
description The study of the relationships between the econometric components of coffee production, estimated by correlations, for example, is of great relevance. These metrics provide useful information for the decision process in the production chain of this commodity. However, the quantification and interpretation of the correlation’s magnitude do not imply direct and indirect effects applicable to the agribusiness reality. In this context, trail analysis presents as a viable alternative. The objective of this work was, through trail analysis, to determine the direct and indirect effects of econometric components on coffee production. The data used are from coffee producing municipalities in Minas Gerais, in the period from 2008 to 2013, in which coffee production was observed as the basic (dependent) variable and as independent (explanatories) variables the harvested area of the grain, the average age of the workers in the field, the average remuneration of workers in the activity, the price paid for the product and the number of producing properties per municipality. There was a strong variation with year and municipality effects, with the rest of the explanation referring more to the primary variables (planted area and number of properties in the municipality), trail coefficients 0.38 and 0.05, respectively. The other variables interfere indirectly, through the modification of both. Path analysis proved to be useful in elucidating part of the coffee production chain variability and can be used as an aid in making business decisions in the sector.
publishDate 2022
dc.date.none.fl_str_mv 2022-05-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/29264
10.33448/rsd-v11i6.29264
url https://rsdjournal.org/index.php/rsd/article/view/29264
identifier_str_mv 10.33448/rsd-v11i6.29264
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/29264/25335
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 11 No. 6; e39611629264
Research, Society and Development; Vol. 11 Núm. 6; e39611629264
Research, Society and Development; v. 11 n. 6; e39611629264
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
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