Effect of Production Costs on the Price per Ton of Sugarcane: The Case of Brazil

The costs of agricultural inputs added to those of labor represent almost a third of the total cost of Brazilian sugarcane production. This study analyzes the behavior of the price per ton of sugarcane in Brazil, relating it to the main production costs of this cultivation. Twelve price indicators f...

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Autores principales: Oliveira, Sandra Cristina de, Rodrigues de Amorim, Fernando, Ceron Barbosa, Cássio, Galvez de Andrade, Alequexandre, Del Giorgio Solfa, Federico
Formato: Articulo
Lenguaje:Inglés
Publicado: 2022
Materias:
Ciencias Económicas
Ciencias Sociales
Brazilian agribusiness
sugarcane production
linear regression
Monte Carlo simulation
ARIMA models
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/142724
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-142724
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Económicas
Ciencias Sociales
Brazilian agribusiness
sugarcane production
linear regression
Monte Carlo simulation
ARIMA models
spellingShingle Ciencias Económicas
Ciencias Sociales
Brazilian agribusiness
sugarcane production
linear regression
Monte Carlo simulation
ARIMA models
Oliveira, Sandra Cristina de
Rodrigues de Amorim, Fernando
Ceron Barbosa, Cássio
Galvez de Andrade, Alequexandre
Del Giorgio Solfa, Federico
Effect of Production Costs on the Price per Ton of Sugarcane: The Case of Brazil
topic_facet Ciencias Económicas
Ciencias Sociales
Brazilian agribusiness
sugarcane production
linear regression
Monte Carlo simulation
ARIMA models
description The costs of agricultural inputs added to those of labor represent almost a third of the total cost of Brazilian sugarcane production. This study analyzes the behavior of the price per ton of sugarcane in Brazil, relating it to the main production costs of this cultivation. Twelve price indicators from January 2015 to December 2020 were evaluated. First, the data were adjusted to a multiple linear regression model to identify the significant variables on variation in the price per ton of sugarcane. Then, the Monte Carlo simulation was used to measure the level of certainty of occurrence of these variables, and forecasts were obtained from the adjustment of ARIMA models. The results showed the influence of the costs of diesel oil, two agricultural pesticides, and daily laborers on the price of sugarcane, besides an increasing trend of its, providing relevant short-term projections for decision-making about investments in the agribusiness sector.
format Articulo
Articulo
author Oliveira, Sandra Cristina de
Rodrigues de Amorim, Fernando
Ceron Barbosa, Cássio
Galvez de Andrade, Alequexandre
Del Giorgio Solfa, Federico
author_facet Oliveira, Sandra Cristina de
Rodrigues de Amorim, Fernando
Ceron Barbosa, Cássio
Galvez de Andrade, Alequexandre
Del Giorgio Solfa, Federico
author_sort Oliveira, Sandra Cristina de
title Effect of Production Costs on the Price per Ton of Sugarcane: The Case of Brazil
title_short Effect of Production Costs on the Price per Ton of Sugarcane: The Case of Brazil
title_full Effect of Production Costs on the Price per Ton of Sugarcane: The Case of Brazil
title_fullStr Effect of Production Costs on the Price per Ton of Sugarcane: The Case of Brazil
title_full_unstemmed Effect of Production Costs on the Price per Ton of Sugarcane: The Case of Brazil
title_sort effect of production costs on the price per ton of sugarcane: the case of brazil
publishDate 2022
url http://sedici.unlp.edu.ar/handle/10915/142724
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