Investigação das características das controladorias no setor público : um estudo nas prefeituras pernambucanas

Abstract

This research aimed to investigate the characteristics of city halls’ Controllership in the State of Pernambuco. In order to do so, about it investigated the general features, the profile of the people in charge, the activities performed and the control functions performed, as well as verifying the existence of a relationship between the functions performed by the controllers and the characteristics of the municipalities of Pernambuco. Descriptive and inferential statistics were applied, using statistical software "Statistical Package for Social Sciences" (SPSS), version 22.0 for Windows. Regarding the organizational structure, the investigation concluded that there is no standardization of the characteristics identified in the study. Regarding the profile of those responsible for municipal control, most are called Controllers. As for the activities carried out by the control units, they were grouped according to their respective control function, where it was found that 79.07% of the municipalities reported performing the accounting function, 81.40% the management function, 46.51% the tax function, 32.56% the function protection and control of assets, 100% the internal control function and 81.40% the risk control function. In addition, the study found that only 23.26% of the effective universe of this study performed all the functions of Controllership, and that there were no statistically significant differences among the variables current incomes, population size, area of territorial unit and HDI of the municipality, in relation to whether or not all control functions are exercised. The study also could not verify a statistically significant association regarding the mesoregion in which the respondent municipalities of the research are inserted and to the amounts of exercised control functions. However, municipalities with up to two control functions in relation to the amount of control functions had lower averages of current income, population size, area of the territorial unit and HDI, but this difference was not statistically significant.