Fatores determinantes da modernização agrícola na região sul do Brasil

Detalhes bibliográficos
Ano de defesa: 2021
Autor(a) principal: Galle, Vitor lattes
Orientador(a): Coronel, Daniel Arruda lattes
Banca de defesa: Bender Filho, Reisoli, Sousa, Eliane Pinheiro de
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Federal de Santa Maria
UFSM Palmeira das Missões
Programa de Pós-Graduação: Programa de Pós-Graduação em Agronegócios
Departamento: Agronomia
País: Brasil
Palavras-chave em Português:
Palavras-chave em Inglês:
Área do conhecimento CNPq:
Link de acesso: http://repositorio.ufsm.br/handle/1/21164
Resumo: Over the years, Brazilian agricultural production has grown and stood out nationally and internationally due to technological advances and global demand for food. Brazilian agribusiness is one of the main players and agro-industrial producers in the world, besides it is one of the largest exporters of soy, orange, beef, pork and poultry. Its production and exports generate jobs, income and development apart from representing a large share of the Gross Domestic Product - GDP, generating balance in the Brazilian trade balance. Factors such as climate, relief, soil, rainfall, labor, technology employed and promoting public policies for production make Brazil one of the main food producers in the world. In order to identify the conditioning factors of agricultural modernization in the municipalities of the States of Rio Grande do Sul, Santa Catarina and Paraná, the factor analysis technique was used to calculate the Agricultural Modernization Index (AMI) so as to hierarchize the municipalities of the three States of the southern region of Brazil in terms of agricultural modernization. Then, Exploratory Spatial Data Analysis (ESDA) was applied to analyze how spatial distribution occurs in relation to the intensity of the modernization of agriculture in the three States of the southern region. The main contribution of the study focuses on answering whether there has been agricultural modernization in the southern Brazilian region over the years and, more specifically, in the last agricultural census in 2006 and 2017. This investigation is supported by previous studies on this theme and covers the entire southern region of the country, given its economic, productive and agricultural potential. Main results obtained show that the municipalities that obtained a high index of agricultural modernization are located in the northwestern and eastern center mesoregions of Rio Grande do Sul, in the Vale do Itajaí and west of Santa Catarina and west, central north and metropolitan mesoregions of Paraná. These regions concentrate several of the main agricultural producers of soy, corn, rice, wheat, cultivation of vines and horticultural, orchard and farm products besides allocating large cities with industrial development for agribusiness. Thus, through the Exploratory Spatial Data Analysis (ESDA), it was possible to corroborate the hypothesis that the spatial distribution of the modernization of agriculture is not random due to the positive correlation of the AMI. In this sense, through the analysis of LISA cluster maps, two different types of well-defined clusters were identified for 2006 and 2017. The first well-defined was of the high-high type (HH) and the second of the low-low type (LL). Finally, it can be said that in a certain way, there is a relativity in the Agricultural Modernization Index, because there is a contrast between the most developed regions in relation to the least developed ones, so generalizing that the municipalities are really technologically developed is imprecise.
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spelling 2021-06-21T17:27:00Z2021-06-21T17:27:00Z2021-02-10http://repositorio.ufsm.br/handle/1/21164Over the years, Brazilian agricultural production has grown and stood out nationally and internationally due to technological advances and global demand for food. Brazilian agribusiness is one of the main players and agro-industrial producers in the world, besides it is one of the largest exporters of soy, orange, beef, pork and poultry. Its production and exports generate jobs, income and development apart from representing a large share of the Gross Domestic Product - GDP, generating balance in the Brazilian trade balance. Factors such as climate, relief, soil, rainfall, labor, technology employed and promoting public policies for production make Brazil one of the main food producers in the world. In order to identify the conditioning factors of agricultural modernization in the municipalities of the States of Rio Grande do Sul, Santa Catarina and Paraná, the factor analysis technique was used to calculate the Agricultural Modernization Index (AMI) so as to hierarchize the municipalities of the three States of the southern region of Brazil in terms of agricultural modernization. Then, Exploratory Spatial Data Analysis (ESDA) was applied to analyze how spatial distribution occurs in relation to the intensity of the modernization of agriculture in the three States of the southern region. The main contribution of the study focuses on answering whether there has been agricultural modernization in the southern Brazilian region over the years and, more specifically, in the last agricultural census in 2006 and 2017. This investigation is supported by previous studies on this theme and covers the entire southern region of the country, given its economic, productive and agricultural potential. Main results obtained show that the municipalities that obtained a high index of agricultural modernization are located in the northwestern and eastern center mesoregions of Rio Grande do Sul, in the Vale do Itajaí and west of Santa Catarina and west, central north and metropolitan mesoregions of Paraná. These regions concentrate several of the main agricultural producers of soy, corn, rice, wheat, cultivation of vines and horticultural, orchard and farm products besides allocating large cities with industrial development for agribusiness. Thus, through the Exploratory Spatial Data Analysis (ESDA), it was possible to corroborate the hypothesis that the spatial distribution of the modernization of agriculture is not random due to the positive correlation of the AMI. In this sense, through the analysis of LISA cluster maps, two different types of well-defined clusters were identified for 2006 and 2017. The first well-defined was of the high-high type (HH) and the second of the low-low type (LL). Finally, it can be said that in a certain way, there is a relativity in the Agricultural Modernization Index, because there is a contrast between the most developed regions in relation to the least developed ones, so generalizing that the municipalities are really technologically developed is imprecise.No decorrer dos anos, a produção agrícola brasileira vem crescendo e se destacando, tanto nacional quanto internacionalmente, devido aos avanços tecnológicos e à demanda global por alimentos. O agronegócio brasileiro encontrase entre os principais players e produtores agroindustriais mundiais, sendo um dos maiores exportadores de soja, laranja, carnes bovina, suína e de aves. Sua produção e exportações geram empregos, renda, divisas, desenvolvimento e representam uma grande fatia do Produto Interno Bruto (PIB), garantindo equilíbrio na balança comercial brasileira. Fatores como clima, relevo, solo, índices pluviométricos, mão de obra, tecnologia empregada, além de políticas públicas de fomento à produção, tornam o Brasil um dos principais produtores de alimentos do mundo. A fim de identificar os fatores condicionantes da modernização agrícola nos municípios dos estados do Rio Grande do Sul, Santa Catarina e Paraná, utilizou-se a técnica de análise fatorial para realizar o cálculo do Índice de Modernização Agrícola (IMA), com o intuito de hierarquizar os municípios dos três estados da Região Sul do Brasil em termos de modernização agrícola. Após, foi aplicada a Análise Exploratória de Dados Espaciais (AEDE), visando analisar como ocorre a distribuição espacial em relação à intensidade da modernização da agricultura nos três estados. A principal contribuição do estudo concentra-se em responder se houve modernização agrícola na Região Sul brasileira no decorrer dos anos e, mais especificamente, entre os Censos Agropecuários, de 2006 e 2017, amparando-se em estudos anteriores dessa temática e abrangendo toda a Região Sul do país, haja vista seu potencial econômico, produtivo e agropecuário. Os principais resultados obtidos apontam que os municípios que obtiveram elevado IMA estão localizados nas mesorregiões Noroeste e Centro Oriental gaúcha, Vale do Itajaí e Oeste Catarinense, e Oeste, Norte Central e Metropolitana Paranaense. Essas regiões concentram vários dos principais municípios produtores agrícolas de soja, milho, arroz, trigo, cultivo de videiras e hortifrutigranjeiros e, ainda, abrigam grandes cidades com desenvolvimento industrial voltado ao agronegócio. Desse modo, por meio da AEDE, foi possível confirmar a hipótese de que a distribuição espacial da modernização da agricultura é não aleatória, em virtude da correlação positiva do IMA. Nesse sentido, através da análise dos mapas de clusters LISA, identificaram-se dois tipos diferentes de clusters bem definidos, tanto para 2006 quanto para 2017. O primeiro bem definido foi do tipo alto-alto (AA), e o segundo, do tipo baixo-baixo (BB). Por fim, pode-se afirmar que, de certa forma, existe uma relatividade no IMA, havendo um contraste das regiões mais desenvolvidas com as menos desenvolvidas, sendo imprecisa a generalização de que os municípios sejam mesmo tecnologicamente desenvolvidos.Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESporUniversidade Federal de Santa MariaUFSM Palmeira das MissõesPrograma de Pós-Graduação em AgronegóciosUFSMBrasilAgronomiaAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAgronegócioAgriculturaEstabelecimentos agropecuáriosCrescimentoMesorregiõesAgribusinessAgricultureAgricultural facilitiesGrowthMesoregionsCNPQ::CIENCIAS AGRARIAS::AGRONOMIAFatores determinantes da modernização agrícola na região sul do BrasilDecisive factors of agricultural modernization in southern Brazilinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisCoronel, Daniel Arrudahttp://lattes.cnpq.br/9265604274170933Pinto, Nelson Guilherme MachadoBender Filho, ReisoliSousa, Eliane Pinheiro dehttp://lattes.cnpq.br/6846218978446942Galle, Vitor500100000009600600600600600600c5f7e145-5c80-4b8f-b8ac-11b9902356578169bc0a-2db7-4d30-9b38-99bd30828d9088c36c9a-f702-4b6a-8b37-9569cb81d311aba31154-6717-477d-af99-6e82af79f363e19e88b5-7b18-46ec-b6f5-bf4aac84cea8reponame:Biblioteca Digital de Teses e Dissertações do UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMORIGINALDIS_PPGAGRONEGOCIOS_2021_GALLE_VITOR.pdfDIS_PPGAGRONEGOCIOS_2021_GALLE_VITOR.pdfDissertaçãoapplication/pdf2305080http://repositorio.ufsm.br/bitstream/1/21164/1/DIS_PPGAGRONEGOCIOS_2021_GALLE_VITOR.pdfb7e7c25f5735ef4e15422c0173f0220aMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; 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dc.title.por.fl_str_mv Fatores determinantes da modernização agrícola na região sul do Brasil
dc.title.alternative.eng.fl_str_mv Decisive factors of agricultural modernization in southern Brazil
title Fatores determinantes da modernização agrícola na região sul do Brasil
spellingShingle Fatores determinantes da modernização agrícola na região sul do Brasil
Galle, Vitor
Agronegócio
Agricultura
Estabelecimentos agropecuários
Crescimento
Mesorregiões
Agribusiness
Agriculture
Agricultural facilities
Growth
Mesoregions
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
title_short Fatores determinantes da modernização agrícola na região sul do Brasil
title_full Fatores determinantes da modernização agrícola na região sul do Brasil
title_fullStr Fatores determinantes da modernização agrícola na região sul do Brasil
title_full_unstemmed Fatores determinantes da modernização agrícola na região sul do Brasil
title_sort Fatores determinantes da modernização agrícola na região sul do Brasil
author Galle, Vitor
author_facet Galle, Vitor
author_role author
dc.contributor.advisor1.fl_str_mv Coronel, Daniel Arruda
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/9265604274170933
dc.contributor.advisor-co1.fl_str_mv Pinto, Nelson Guilherme Machado
dc.contributor.referee1.fl_str_mv Bender Filho, Reisoli
dc.contributor.referee2.fl_str_mv Sousa, Eliane Pinheiro de
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/6846218978446942
dc.contributor.author.fl_str_mv Galle, Vitor
contributor_str_mv Coronel, Daniel Arruda
Pinto, Nelson Guilherme Machado
Bender Filho, Reisoli
Sousa, Eliane Pinheiro de
dc.subject.por.fl_str_mv Agronegócio
Agricultura
Estabelecimentos agropecuários
Crescimento
Mesorregiões
topic Agronegócio
Agricultura
Estabelecimentos agropecuários
Crescimento
Mesorregiões
Agribusiness
Agriculture
Agricultural facilities
Growth
Mesoregions
CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
dc.subject.eng.fl_str_mv Agribusiness
Agriculture
Agricultural facilities
Growth
Mesoregions
dc.subject.cnpq.fl_str_mv CNPQ::CIENCIAS AGRARIAS::AGRONOMIA
description Over the years, Brazilian agricultural production has grown and stood out nationally and internationally due to technological advances and global demand for food. Brazilian agribusiness is one of the main players and agro-industrial producers in the world, besides it is one of the largest exporters of soy, orange, beef, pork and poultry. Its production and exports generate jobs, income and development apart from representing a large share of the Gross Domestic Product - GDP, generating balance in the Brazilian trade balance. Factors such as climate, relief, soil, rainfall, labor, technology employed and promoting public policies for production make Brazil one of the main food producers in the world. In order to identify the conditioning factors of agricultural modernization in the municipalities of the States of Rio Grande do Sul, Santa Catarina and Paraná, the factor analysis technique was used to calculate the Agricultural Modernization Index (AMI) so as to hierarchize the municipalities of the three States of the southern region of Brazil in terms of agricultural modernization. Then, Exploratory Spatial Data Analysis (ESDA) was applied to analyze how spatial distribution occurs in relation to the intensity of the modernization of agriculture in the three States of the southern region. The main contribution of the study focuses on answering whether there has been agricultural modernization in the southern Brazilian region over the years and, more specifically, in the last agricultural census in 2006 and 2017. This investigation is supported by previous studies on this theme and covers the entire southern region of the country, given its economic, productive and agricultural potential. Main results obtained show that the municipalities that obtained a high index of agricultural modernization are located in the northwestern and eastern center mesoregions of Rio Grande do Sul, in the Vale do Itajaí and west of Santa Catarina and west, central north and metropolitan mesoregions of Paraná. These regions concentrate several of the main agricultural producers of soy, corn, rice, wheat, cultivation of vines and horticultural, orchard and farm products besides allocating large cities with industrial development for agribusiness. Thus, through the Exploratory Spatial Data Analysis (ESDA), it was possible to corroborate the hypothesis that the spatial distribution of the modernization of agriculture is not random due to the positive correlation of the AMI. In this sense, through the analysis of LISA cluster maps, two different types of well-defined clusters were identified for 2006 and 2017. The first well-defined was of the high-high type (HH) and the second of the low-low type (LL). Finally, it can be said that in a certain way, there is a relativity in the Agricultural Modernization Index, because there is a contrast between the most developed regions in relation to the least developed ones, so generalizing that the municipalities are really technologically developed is imprecise.
publishDate 2021
dc.date.accessioned.fl_str_mv 2021-06-21T17:27:00Z
dc.date.available.fl_str_mv 2021-06-21T17:27:00Z
dc.date.issued.fl_str_mv 2021-02-10
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dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
UFSM Palmeira das Missões
dc.publisher.program.fl_str_mv Programa de Pós-Graduação em Agronegócios
dc.publisher.initials.fl_str_mv UFSM
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv Agronomia
publisher.none.fl_str_mv Universidade Federal de Santa Maria
UFSM Palmeira das Missões
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