Faculdade de Engenharia de Computação e Telecomunicação - FCT/ITEC
URI Permanente desta comunidadehttps://repositorio.ufpa.br/handle/2011/6283
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Navegando Faculdade de Engenharia de Computação e Telecomunicação - FCT/ITEC por Autor "SANTANA, Ádina Lima de"
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Item Acesso aberto (Open Access) Açaí pulp demand in the retail market of Belém, state of Pará(Universidade Federal do Pará, 2017-03) SANTANA, Antônio Cordeiro de; SANTANA, Ádina Lima de; SANTANA, Ádamo Lima deThe aim of this work was to estimate the parameters associated to the demand for açaí pulp in the retail market of Belém. Multiple regression analysis was applied to identify the key variables that impact on product consumption and to estimate the price and income elasticities and cross demand. The econometric estimation method applied was the least squares to correct heteroscedastic variance problems. Results have shown that the demand for açaí pulp is price and income inelastic. Fish and cassava flour were confirmed as complementary products of strong influence on the decisions of consumers. Product quality, with regard to its association to Chagas disease, also revealed a strong influence on product choice for household consumption. Finally, the socio-economic benefit of açaí pulp was R$ 762.78 million per year.Item Acesso aberto (Open Access) Análise discriminante múltipla do mercado varejista de açaí em Belém do Pará(Universidade Federal do Pará, 2014-09) SANTANA, Antônio Cordeiro de; SANTANA, Ádamo Lima de; SANTANA, Ádina Lima de; SANTOS, Marcos Antônio Souza dos; MARTINS, Cyntia MeirelesAçaí pulp is one of the main foods in the State of Pará and of higher per capita consumption in 2010. The sale of açaí in Belém is carried out by several units that operate in the retail market. The objective of this study was to identify market segments: greengrocers, micro entrepreneurs and supermarkets, from the analysis of a set of variables that define the decisions of açaí consumers. The stepwise multiple discriminant analysis was used to estimate the discriminant functions. Results show that the segment identified with greater precision was the greengrocery, with 100%, followed by supermarkets, with 96.5% of the cases accurately classified, and the segment of micro entrepreneurs, with 90.9%, had the lowest accuracy in the consumer classification. The estimated model showed a high significance in the estimation process, since the functions with the variables amount of açaí, consumer income, price of açaí, quality of açaí, price of fish and price of flour, correctly classified 95.6% of the original elements.