ABSTRACT
The search for enhanced transparency and accountability in government organizations has inspired studies to identify the key factors that facilitate greater disclosure of public financial information. With the advantages provided by the meta-analysis technique, applied to a sample of studies, we identify the most significant factors and incentives underlying the decisions adopted by public managers on policy strategies regarding information transparency and public responsibility. Our study shows the variables analyzed to be positively associated with the disclosure of public financial information, but also that this depends on the context in which the research is carried out. The most influential variables were the moderator variables of the administrative culture and of the measurement unit for the variables.
Notes
Note: The studies contribute more than one observation to the sample because they include different estimations with different data sets, different explanatory variables, or different models.
Notes: There are studies that offer various models and provide various statistical significances, so we have offered a range from the smallest to largest. The structural equations model (SEM) provides the following information: chi-square (F stat column) and R2 for QUA (R 2 column). The Probit models provide chi-square (F stat colum) and Pseudo-R 2 (R 2 column), and we have assigned superscript 1. The Logit models provide chi-square (F stat column) and classification accuracy (R 2 column), and we have assigned superscript 2.
*ρ < 0.1; **ρ < 0.05; ***ρ < 0.01; +ρ < 0.001.
*ρ < 0.1; **ρ < 0.05; ***ρ < 0.01; +ρ < 0.001.
*ρ < 0.1; **ρ < 0.05; ***ρ < 0.01; +ρ < 0.001.
*ρ < 0.1; **ρ < 0.05; ***ρ < 0.01; +ρ < 0.001.
*ρ < 0.1; **ρ < 0.05; ***ρ < 0.01; +ρ < 0.001.
*ρ < 0.1; **ρ < 0.05; ***ρ < 0.01; +ρ < 0.001.
This in turn is measured in different ways (see Tables , , 6, 7, and 8).