Tesis
Análise de preço de fertilizantes em Mato Grosso
Fecha
2016-11-22Registro en:
BERALDO, João Bosco Lima. Análise de preço de fertilizantes em Mato Grosso. 2016. 113 f. Dissertação (Mestrado em Agronegócios e Desenvolvimento Regional) - Universidade Federal de Mato Grosso, Faculdade de Economia, Cuiabá, 2016.
Autor
Figueiredo, Margarida Garcia de
http://lattes.cnpq.br/2502490465538243
Figueiredo, Margarida Garcia de
268.793.138-17
http://lattes.cnpq.br/2502490465538243
Ishii, Karlin Saori
024.788.029-96
http://lattes.cnpq.br/4921706562265742
268.793.138-17
Azzoni, Carlos Roberto
660.266.018-72
http://lattes.cnpq.br/7555125918098797
Institución
Resumen
The Brazil is the fourth position among the countries that consume solid fertilizers
(NPK) in the world, but needs to import 70 percent of its demand for these products. The
Mato Grosso (MT) is the great consumer of fertilizer of Brazilian States, with 19.1% of the
total used in the country and presents growth rates above the national average. However,
fertilizer costs in the State represent more than 36% of the variable cost of soy crops and 38%
of corn crops, which puts such input in a position of great importance for agriculture of Mato
Grosso. Among the possible reasons for the high cost of this input are the price of the raw
material, largely imported; prices of agricultural commodities, such as soybeans and corn, the
demand for fertilizer and, finally, the prices of products in the energy sector, such as oil. Thus,
this work started from the hypothesis that international prices of fertilizers imported, the price
of soybeans and corn in Mato Grosso, the State fertilizer demand and international oil prices
determine prices of the fertilizers urea, super simple phosphate (SSP), super triple phosphate
(TSP), Mono ammonium phosphate (MAP) and potassium chloride (KCl) traded in the State.
The main objective of this study was to analyze the participation of some variables in
predicting prices of fertilizers in Mato Grosso state, as well as in price transmission between
grains, oil and fertilizers. Therefore, this study used the multiple linear regression by the
Ordinary Least Squares model to estimate fertilizer prices and forecast models of Vector
Autoregressive (VAR) and Vector Error Correction (VEC) to analyse the price transmission
between the markets involved with the Mato Grosso fertilizer market. The variables used in
this study were monthly time series of international prices of fertilizers imported, the price of
soya and corn in MT, the demand for fertilizers and international oil quotations between 2009
and 2015. The results showed that the prediction and transmission of fertilizer prices in the
State are based on the international prices of raw materials and oil and, in the case of SSP and
KCl, on the price of soy in Mato Grosso.