Abstract

The transparency of governments to their citizens is seen as a necessary factor in democratic accountability and, consequently, in the consolidation of democracy. Although the importance of transparency in government is often highlighted, its causes are still unknown, especially in the Brazilian context. Following the trend of international empirical research, this exploratory study investigates the relationships between three sets of variables (current and past fiscal variables, socioeconomic variables and political variables) and fiscal transparency in the Brazilian subnational context. To identify the relationship between fiscal, socioeconomic and political variables and fiscal transparency, the multiple linear regression technique was used. Prior to conducting the regression using the method of ordinary least squares, factor analysis was used, aiming to group the fiscal and socioeconomic variables into factors not only to reduce their quantity but also to eliminate their multicollinearity problems. Political variables, due to their qualitative nature, remained in their original form. The factor analysis sorted the variables into two groups: fiscal and socioeconomic factors. Because multiple regression allows only for the evaluation of the relationship between the parties included in the sample and the reference party, an F test was used to assess differences in the level of transparency among political parties. The results indicated that fiscal and socioeconomic variables explain the transparency levels of the Brazilian States. However, the political variables were not significant, indicating that the disclosure of fiscal information in Brazil seems not to be influenced by political ideologies. Furthermore, it is evident that the lack of a regulatory model of transparency in the budget process leads States to disclose a great deal of information about budget execution. Finally, the findings indicate that as an instrument for democratic consolidation, fiscal transparency remains incipient in Brazil.

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