Pork is currently the most consumed meat in the world, with Brazil being the fourth largest producer. The aim of this paper was to study the relationship between the price paid to pork producers by analyzing the prices of live pigs paid to producers in Rio Grande do Sul and Santa Catarina. The aim was to compare the differences and behavior between the production matrices of these two states in order to explain the behavior of the prices paid to producers. The results showed that the average prices paid to producers in Rio Grande do Sul have historically been higher than the prices paid to producers in Santa Catarina. Using the Granger Causality Test, Impulse Response Function and Variance Decomposition, it can be concluded that the prices paid to integrated pig producers in Santa Catarina in the past influence the formation of prices paid to independent pig producers in Rio Grande do Sul in the present, while the prices paid to independent producers in Rio Grande do Sul in the past influence the formation of prices paid to producers in Santa Catarina.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 52 pp. Englisch. N° de réf. du vendeur 9786207197644
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Pork is currently the most consumed meat in the world, with Brazil being the fourth largest producer. The aim of this paper was to study the relationship between the price paid to pork producers by analyzing the prices of live pigs paid to producers in Rio Grande do Sul and Santa Catarina. The aim was to compare the differences and behavior between the production matrices of these two states in order to explain the behavior of the prices paid to producers. The results showed that the average prices paid to producers in Rio Grande do Sul have historically been higher than the prices paid to producers in Santa Catarina. Using the Granger Causality Test, Impulse Response Function and Variance Decomposition, it can be concluded that the prices paid to integrated pig producers in Santa Catarina in the past influence the formation of prices paid to independent pig producers in Rio Grande do Sul in the present, while the prices paid to independent producers in Rio Grande do Sul in the past influence the formation of prices paid to producers in Santa Catarina.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. N° de réf. du vendeur 9786207197644
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Pork is currently the most consumed meat in the world, with Brazil being the fourth largest producer. The aim of this paper was to study the relationship between the price paid to pork producers by analyzing the prices of live pigs paid to producers in Rio Grande do Sul and Santa Catarina. The aim was to compare the differences and behavior between the production matrices of these two states in order to explain the behavior of the prices paid to producers. The results showed that the average prices paid to producers in Rio Grande do Sul have historically been higher than the prices paid to producers in Santa Catarina. Using the Granger Causality Test, Impulse Response Function and Variance Decomposition, it can be concluded that the prices paid to integrated pig producers in Santa Catarina in the past influence the formation of prices paid to independent pig producers in Rio Grande do Sul in the present, while the prices paid to independent producers in Rio Grande do Sul in the past influence the formation of prices paid to producers in Santa Catarina. N° de réf. du vendeur 9786207197644
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Taschenbuch. Etat : Neu. An Autoregressive Vector Model for Pig Price Valuation | Gaucho and Santa Catarina Markets from 2008 to 2014 | Douglas Balduino Pereira (u. a.) | Taschenbuch | Englisch | 2024 | Our Knowledge Publishing | EAN 9786207197644 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. N° de réf. du vendeur 128645073
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