Main variables that are influenced by the anthropic activity resulting from the soybean production in the municipalities of Mato Grosso

Detalhes bibliográficos
Autor(a) principal: Toloi, Rodrigo Carlo
Data de Publicação: 2018
Outros Autores: Lopes, Alexandra Cristina Ramos da Silva, Toloi, Marley Nunes Vituri, Reis, João Gilberto Mendes dos, Bonilla, Silvia Helena, Freitas Junior, Moacir de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Independent Journal of Management & Production
Texto Completo: http://www.ijmp.jor.br/index.php/ijmp/article/view/812
Resumo: This study aimed to identify how the main variables that are influenced by the anthropic activity resulting from the soybean production in the Mato Grosso Municipalities cluster among themselves. Factor analysis method was used to identify underlying dimensions that can account for the shared variation of observed variables. The factorial analysis proposes to reduce the number of variables by the extraction of independent factors, so that a better explanation of the relationship between the original variables occurs, avoiding correlational problems and reducing the relevance of endogeneity. Three dimensions were identified, each with a different combination of variables. Based on the results from principal components modelling it is fair to state that the impacts of the anthropic activity resulting from soybean production in the Mato Grosso municipalities can be analyzed according to three main domains: production impacts, socioeconomic impacts and demographic impacts. The main contribution of this paper is that it offers a useful framework of analysis for both public and private decision-makers regarding the influence of soybean production on economic, social, environmental, and cultural factors.
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spelling Main variables that are influenced by the anthropic activity resulting from the soybean production in the municipalities of Mato GrossoAnthropic Activity of SoybeanMultivariate Statistical AnalysisEnvironmentalSocialEconomic FactorsThis study aimed to identify how the main variables that are influenced by the anthropic activity resulting from the soybean production in the Mato Grosso Municipalities cluster among themselves. Factor analysis method was used to identify underlying dimensions that can account for the shared variation of observed variables. The factorial analysis proposes to reduce the number of variables by the extraction of independent factors, so that a better explanation of the relationship between the original variables occurs, avoiding correlational problems and reducing the relevance of endogeneity. Three dimensions were identified, each with a different combination of variables. Based on the results from principal components modelling it is fair to state that the impacts of the anthropic activity resulting from soybean production in the Mato Grosso municipalities can be analyzed according to three main domains: production impacts, socioeconomic impacts and demographic impacts. The main contribution of this paper is that it offers a useful framework of analysis for both public and private decision-makers regarding the influence of soybean production on economic, social, environmental, and cultural factors.Independent2018-07-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/htmltext/xmlhttp://www.ijmp.jor.br/index.php/ijmp/article/view/81210.14807/ijmp.v9i5.812Independent Journal of Management & Production; Vol. 9 No. 5 (2018): Independent Journal of Management & Production (Special Edition); 607-6222236-269X2236-269Xreponame:Independent Journal of Management & Productioninstname:Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)instacron:IJM&Penghttp://www.ijmp.jor.br/index.php/ijmp/article/view/812/837http://www.ijmp.jor.br/index.php/ijmp/article/view/812/864http://www.ijmp.jor.br/index.php/ijmp/article/view/812/1632Copyright (c) 2018 Rodrigo Carlo Toloi, Alexandra Cristina Ramos da Silva Lopes, Marley Nunes Vituri Toloi, João Gilberto Mendes dos Reis, Silvia Helena Bonilla, Moacir de Freitas Juniorinfo:eu-repo/semantics/openAccessToloi, Rodrigo CarloLopes, Alexandra Cristina Ramos da SilvaToloi, Marley Nunes VituriReis, João Gilberto Mendes dosBonilla, Silvia HelenaFreitas Junior, Moacir de2020-08-28T19:36:08Zoai:www.ijmp.jor.br:article/812Revistahttp://www.ijmp.jor.br/PUBhttp://www.ijmp.jor.br/index.php/ijmp/oaiijmp@ijmp.jor.br||paulo@paulorodrigues.pro.br||2236-269X2236-269Xopendoar:2020-08-28T19:36:08Independent Journal of Management & Production - Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)false
dc.title.none.fl_str_mv Main variables that are influenced by the anthropic activity resulting from the soybean production in the municipalities of Mato Grosso
title Main variables that are influenced by the anthropic activity resulting from the soybean production in the municipalities of Mato Grosso
spellingShingle Main variables that are influenced by the anthropic activity resulting from the soybean production in the municipalities of Mato Grosso
Toloi, Rodrigo Carlo
Anthropic Activity of Soybean
Multivariate Statistical Analysis
Environmental
Social
Economic Factors
title_short Main variables that are influenced by the anthropic activity resulting from the soybean production in the municipalities of Mato Grosso
title_full Main variables that are influenced by the anthropic activity resulting from the soybean production in the municipalities of Mato Grosso
title_fullStr Main variables that are influenced by the anthropic activity resulting from the soybean production in the municipalities of Mato Grosso
title_full_unstemmed Main variables that are influenced by the anthropic activity resulting from the soybean production in the municipalities of Mato Grosso
title_sort Main variables that are influenced by the anthropic activity resulting from the soybean production in the municipalities of Mato Grosso
author Toloi, Rodrigo Carlo
author_facet Toloi, Rodrigo Carlo
Lopes, Alexandra Cristina Ramos da Silva
Toloi, Marley Nunes Vituri
Reis, João Gilberto Mendes dos
Bonilla, Silvia Helena
Freitas Junior, Moacir de
author_role author
author2 Lopes, Alexandra Cristina Ramos da Silva
Toloi, Marley Nunes Vituri
Reis, João Gilberto Mendes dos
Bonilla, Silvia Helena
Freitas Junior, Moacir de
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Toloi, Rodrigo Carlo
Lopes, Alexandra Cristina Ramos da Silva
Toloi, Marley Nunes Vituri
Reis, João Gilberto Mendes dos
Bonilla, Silvia Helena
Freitas Junior, Moacir de
dc.subject.por.fl_str_mv Anthropic Activity of Soybean
Multivariate Statistical Analysis
Environmental
Social
Economic Factors
topic Anthropic Activity of Soybean
Multivariate Statistical Analysis
Environmental
Social
Economic Factors
description This study aimed to identify how the main variables that are influenced by the anthropic activity resulting from the soybean production in the Mato Grosso Municipalities cluster among themselves. Factor analysis method was used to identify underlying dimensions that can account for the shared variation of observed variables. The factorial analysis proposes to reduce the number of variables by the extraction of independent factors, so that a better explanation of the relationship between the original variables occurs, avoiding correlational problems and reducing the relevance of endogeneity. Three dimensions were identified, each with a different combination of variables. Based on the results from principal components modelling it is fair to state that the impacts of the anthropic activity resulting from soybean production in the Mato Grosso municipalities can be analyzed according to three main domains: production impacts, socioeconomic impacts and demographic impacts. The main contribution of this paper is that it offers a useful framework of analysis for both public and private decision-makers regarding the influence of soybean production on economic, social, environmental, and cultural factors.
publishDate 2018
dc.date.none.fl_str_mv 2018-07-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
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dc.identifier.uri.fl_str_mv http://www.ijmp.jor.br/index.php/ijmp/article/view/812
10.14807/ijmp.v9i5.812
url http://www.ijmp.jor.br/index.php/ijmp/article/view/812
identifier_str_mv 10.14807/ijmp.v9i5.812
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.ijmp.jor.br/index.php/ijmp/article/view/812/837
http://www.ijmp.jor.br/index.php/ijmp/article/view/812/864
http://www.ijmp.jor.br/index.php/ijmp/article/view/812/1632
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Independent
publisher.none.fl_str_mv Independent
dc.source.none.fl_str_mv Independent Journal of Management & Production; Vol. 9 No. 5 (2018): Independent Journal of Management & Production (Special Edition); 607-622
2236-269X
2236-269X
reponame:Independent Journal of Management & Production
instname:Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
instacron:IJM&P
instname_str Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
instacron_str IJM&P
institution IJM&P
reponame_str Independent Journal of Management & Production
collection Independent Journal of Management & Production
repository.name.fl_str_mv Independent Journal of Management & Production - Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
repository.mail.fl_str_mv ijmp@ijmp.jor.br||paulo@paulorodrigues.pro.br||
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