Main variables that are influenced by the anthropic activity resulting from the soybean production in the municipalities of Mato Grosso
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , |
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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Independent Journal of Management & Production |
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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 |
status_str |
publishedVersion |
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 |
dc.format.none.fl_str_mv |
application/pdf text/html text/xml |
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|| |
_version_ |
1797220491809783808 |