O processo de ecoinovação nos municípios brasileiros: uma análise de dados em painel

Abstract

The analysis involved 5,570 municipalities using a pooled panel data model, covering fixed and random effects. Initially, descriptive statistics were performed for the variables labor, GDP, and higher education, highlighting significant variations between municipalities. Data processing was conducted in RStudio, with model validation through the Hausman test and Variance Inflation Factor (VIF) analysis. The Hausman test helped choose between fixed and random effects, while the VIF aimed to identify the presence of multicollinearity. Although the descriptive statistics provided a general overview, the analysis revealed limitations in explaining local eco-innovation dynamics with the variables used. The complexity of eco-innovation requires more detailed approaches, as the generalist models used do not adequately capture local and sectoral particularities.