Dissertação
Relação entre emissão de dióxido de carbono e variáveis macroeconomicas na agropecuária brasileira
Fecha
2021-03-15Autor
Lopes, Julianna Alves Spall
Institución
Resumen
The objective of this research was to investigate, through Cluster analysis, which variables
resulting from the production of beef cattle and fertilizers that have similar behaviors and
determine a Vector Auto-regressive Model (VAR) in order to analyze the interrelationship
between the variables, through the analysis of the impulse-response function. Amid sources of
GHG emissions in agriculture, beef cattle and fertilizer use, the variables of the Brazilian
agriculture and livestock sector will be studied (enteric fermentation, management of animal
waste, agricultural soils, slaughtered animals, fertilizer consumption, direct emissions,
atmospheric deposition and leaching); economic variables (Free On Board value of imports and
exports, Gross Domestic Product and Broad National Consumer Price Index). The period of
analysis is from January 1997 to August 2006 while the variables used were extracted from the
page of the Greenhouse Gas Emissions Estimation System (SEEG), from the database of the
Institute of Applied Economic Research and from the portal of the Brazilian Institute of
Geography and Statistics. Cluster analysis has proven to be a skillful tool for classifying sector
variables and economic variables in terms of exogeneity, as well as the AVM model for
identifying the interrelationship between variables. After understanding the dynamics and the
effects that the variables cause on each other, sources of GHG emission reduction measures were proposed.