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Purpose The purpose of this paper is to explore the causal links between public and private university environments and the entrepreneurial intention (EI) of students. Design/methodology/approach The impact of different university environments on the students’ EI was checked using a model adapted from Krueger et al. (2000). The study comprised a sample of students enrolled in business administration from three public and three private universities at first semester (freshmen) and at the last two semesters (senior) in Brazil. The model was measured through various questions and later assessed by principal component analysis to build constructs. Via t-test and path analysis the EI and the antecedents were subjected to a comparative analysis to test the equality of the models across the four categories emerged. Findings The two main types of Brazilian university environments (public and private) do not present significant differences in the way they influence EI and its antecedents. Both the tests of means and the tests of measurement of the structural relations between constructs confirm this finding with only a few exceptions. The result of this study is opposed to other studies carried out in Brazil, by showing that the public university environment is not worse for the entrepreneurship than the private. The environmental effects are mostly equal and they as a whole are not conducive to the development of EI. Research limitations/implications The study comprises business students only, and enrolled on regular universities. It is worth highlighting that evidence was brought to the debate for a group of universities in Brazil. Replicating the study with students from other areas and other universities, as well as students in Master’s and Doctorate programs could enrich the analyses. Practical implications This study provides insight into entrepreneurship education, as to which the university environment is conducive to the entrepreneurship. It brings insights for the development of entrepreneurial universities. Originality/value This study contributes to understanding the differences between the public and private universities environment regarding students’ EI.

This paper is about the links between entrepreneurship determinants, entrepreneurship rate and entrepreneurship consequences. A model relating demographic, cultural, economical and institutional antecedents to entrepreneurship rate and to economic and social regional performance is proposed and tested using Rio Grande do Sul municipal data. The results support the view that institutional, economical and demographic variables shape entrepreneurship rate. Moreover support was also found for the fact that the entrepreneurship rate impacts the development of localities. Unlike other researches our results also suggest that the entrepreneurship rate mediates the effects of other variables on the regional economic and social performance. This result has important implications for establishing regional development policies because if the interest is to enhance economic and social development the best practice is to improve the entrepreneurship antecedents rather than only stimulate more people to start new business.
Este artigo trata das relações entre a taxa de empreendedorismo, seus determinantes e consequências. O modelo que relaciona antecedentes demográficos, culturais, econômicos e institucionais do empreendedorismo com a taxa de formação de novas empresas e com a renda per capita e o índice de desenvolvimento humano foi proposto e testado usando dados municipais do estado do Rio Grande do Sul. Evidências foram encontradas de que variáveis institucionais, econômicas e demográficas determinam a taxa de empreendedorismo. Além disso, encontramos suporte para a relação - taxa de empreendedorismo e nível de desenvolvimento municipal. Porém, diferente de outras pesquisas, os resultados deste trabalho sugerem que a taxa de empreendedorismo, além de exercer efeitos diretos na renda per capita e no índice de desenvolvimento humano, tem efeitos indiretos. Este resultado tem importância para o estabelecimento de políticas de desenvolvimento regional, visto que, se o interesse é fortalecer o desempenho regional, a melhor maneira é estimular os fatores que determinam a criação de empresas, mais do que somente estimular mais pessoas a iniciarem novos negócios

Purpose -The paper seeks to delineate the emergence of demand chain management (DCM) from a theoretical perspective and to illustrate its occurrence in practice. Design/methodology/approach -The DCM concept is examined empirically through a case study with retailers involved in the beef chain in the state of Rio Grande do Sul (Brazil). Findings -The paper reveals that the DCM concept derives from the supply chain management (SCM) concept, but with a strong emphasis on demand management due to the incorporation of the market orientation perspective. In the beef business in the Rio Grande do Sul, two distinct practices were observed: SCM and DCM practice. The SCM practice is tightly related to the traditional beef market, whereas the DCM practice emphasizes understanding customers and the sequential capabilities for responding to their requirements. Originality/value -By establishing the evolutionary development from SCM to DCM, businesses will certainly gain insights about how to become more responsive, and this will improve effectiveness and yield more delighted customers.

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ResumoEssa pesquisa avaliou a transmissão de preços entre diferentes elos de cadeias produtivas do Brasil. Especificamente, avaliou-se a transmissão do preço do petróleo para os preços dos três fertilizantes básicos (cloreto de potássio, superfosfato simples e sulfato de amônia) e das commodities (milho, soja e frango), bem como as transmissões entre esses produtos. Os resultados revelam que os preços de fertilizantes e commodities apresentam uma baixa dependência do preço do petróleo. Variações no preço do milho e da soja são parcialmente repassadas para o preço dos fertilizantes e vice-versa. Variações no preço da soja são transmitidas para o preço do milho. Os preços do milho e do frango podem ser considerados mutuamente dependentes. O preço da soja é altamente exógeno, não sendo influenciado pelos demais produtos.Palavras chaves: Petróleo, fertilizantes, VEC. AbstractThis research evaluated a transmission of prices between different links of productive chains in Brazil. Specifically, we evaluated a transmission of the price of oil to the prices of three basic fertilizers (potassium chloride, ammonium sulphate, and simple superphosphate) and commodities (corn, soybean and chicken), as well as transmissions between these products. The results reveal that fertilizer and commodity prices are a low dependence on the price of oil. Variations in the price of corn and soybeans are partially passed on to the price of fertilizers and vice versa. Variations in the price of soybean are transmitted to the price of corn. Prices of corn and chicken can be mutually dependent. The price of soybean is highly exogenous and is not altered by other products.Key words: Oil, fertilizers, VEC.Código JEL: Q02; Q11; Q13 IntroduçãoO Brasil é um importante supridor de commodities, tanto para as exportações quanto para o seu próprio consumo. Dos muitos produtos que o país produz, merece destaque a carne de frango. Além do Brasil estar entre os maiores produtores e consumidores desta carne, devido, entre outros fatores, à maior

ResumoEste artigo tem por objetivo apresentar uma metodologia alternativa de estimação da corrupção regional no Brasil. Sabe-se que a corrupção afeta negativamente a eficiência dos serviços públi-cos, e mesmo sendo um problema antigo, somente há pouco tempo têm sido aprofundados os estudos nessa área. São poucos, e muitas vezes inconsistentes os índices com dados objetivos para calcular a corrupção. Para este novo índice, utilizamos como a principal fonte de dados a base de dados do Cadastro de Responsáveis com Contas Julgadas Irregulares (Cadirreg), já que esta se fundamenta em análise multivariada, mais especificamente no método dos componentes principais. A análise deste índice torna possível identificar os estados mais, ou menos, corruptos, para, então, o governo ter possibilidade de tomar medidas preventivas a este problema. Encontramos como estados brasileiros mais corruptos Bahia, São Paulo e Maranhão; já Acre, Rondônia e Santa Catarina apresentaram os menores índices de corrupção.Palavras-chave: Corrupção Regional. Método dos componentes principais. Economia política.