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Análise Espacial Da Plantação De Oleaginosas Para A Produção De Biodiesel

  • Almeida, Eduardo Simões de
  • Teixeira, Rudolph Fabiano Alves Pedroza
  • Fernandes, Henrique Silva
  • Oliveira Junior, Lourival Batista De

Nos últimos anos a agricultura familiar passou a usufruir de maior atenção e destaque por parte dos programas governamentais, mormente pelo Programa Nacional de Fortalecimento da Agricultura Familiar (Pronaf), e mais atualmente pelo Programa Nacional de Produção e Uso do Biodiesel (PNPB). Contudo os gargalos relativos à infra-estrutura logística e os demais custos relativos à cadeia de biodiesel podem tornar vantajoso economicamente para as indústrias produzir seus próprios insumos, ou mesmo os adquirirem dos grandes produtores rurais. Tendo em vista essa possibilidade foi utilizado o ferramental da Análise Exploratória de Dados Espaciais (AEDE), como forma de verificar como as variáveis rendimento médio de óleo vegetal advindo da agricultura familiar (insumos), produção efetiva de biodiesel, e malha rodoviária total (estrutura logística) se relacionaram durante o ano de 2005. Usando as técnicas de análise espacial bivariada, os resultados revelam que todas as interações espaciais globais são positivas e significativas, mas existem diferenças quando se investiga padrões locais por meio da emergência de agrupamentos espaciais. -------------------------Over last years the familiar agriculture has received more attention by public policies, as in the National Program of Strenghtening of familiar agriculture and in the National Program of production and use of biodiesel. However the obstacles referring to logistics and the other costs related to biodiesel system may get advantageous in economic terms for industries to produce their own inputs or even to buy from big rural farmers. Having this in mind, the exploratory spatial data analysis (ESDA) is adopted by verifying as the variables such as average receipt, biodiesel output and transport network relate each other during the year 2005. Using the bivariate spatial analysis techniques, the findings reveal all global spatial interactions are positive and significant, but there are differences when investigating local patterns by means of emerging of spatial clusters.

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File URL: http://purl.umn.edu/108071
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Paper provided by Sociedade Brasileira de Economia, Administracao e Sociologia Rural (SOBER) in its series 46th Congress, July 20-23, 2008, Rio Branco, Acre, Brasil with number 108071.

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Date of creation: Jul 2008
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Handle: RePEc:ags:sbrfsr:108071
Contact details of provider: Web page: http://www.sober.org.br/Email:


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