Abstract

The number of debates on sustainability and the emission of gases (GHG), that potentiate the greenhouse effect, have grown in recent years, mainly regarding structural changes in the organizational dynamics of society. Particularly in Brazil, which has an extensive territorial area and native vegetation, emission of greenhouse gases is responsible for harmful socio-environmental effects both externally and internally to the country. Thereby, this study aimed to characterize the GHG in Brazil and identify which sustainable factors influence GHG emissions and how these factors correlate with the variations in temperature between 1990 and 2022. For that, multiple linear regression models were used to develop the regression model and canonical correlation analysis to verify how the adjusted factors behaved with the temperature in this period. The results of this study show that the four adjusted indicators are of economic origin and closely related to the type of economic production in Brazil. Each indicator has a similar correlation with temperature variations. This GHG profile helps public decision makers gain an overview, particularly in relation to the drastic temperature changes and current weather conditions. It is expected that this work will have theoretical implications for a new line of research to be deepened, which can develop practices that allow public managers to plan how to reduce the greenhouse gases indicators analyzed in this research. Therefore this study can contribute as a research tool in the control of greenhouse gas emissions in Brazil.

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