Measuring Cross-Correlations, Contagion and Long-Range Behavior between Fires in Brazil and Some Time Series Related to Its Economic Growth

Fires bring up the debate about their impact on Brazil’s economic growth. Some processing tools such as cointegration and, especially, correlation have been applied for identifying possible transmission or contagion mechanisms between distinct time series. This paper adopts detrended cross-correlation analysis (DCCA) and rolling window approach to investigate dynamic coupling fires evolution of some key variables related growth (e.g., agricultural planted area, ethanol production, rainfall in midwest region gross domestic product) covering two periods, namely from January 2012 August 2016 (before Brazilian presidential impeachment occurred 2016) September April 2021, post-impeachment scenario, with new government policies environmental sector. The results show a positive level versus area all cereals, leguminous oleaginous Brazil (mostly Soybean Corn) production (a renewable energy generation). It is also verify product. Furthermore, we observed quantitatively, by means adopted methods that potential damage activities addressed this study can harm environment both mid long-term.