There are a large number of research which main purpose is the search for a empirical relationship between corporative governance and the performance. Studies which seeks to demonstrate this relationship characterized by the use of financial indicators and indicators of stock analysis, combined with the use of econometric methods. However, there are suggestions so that be established alternative measures of performance, such as use of non-parametric analysis. Measuring the performance using other analysis techniques to assess the relationship between corporate governance and performance represents a relevant contribution to this study field. By using the nonparametric technique of Data Envelopment Analysis, the main objective of this paper is to verify whether there are significant differences between technical efficiency and productivity of companies in the segments of corporate governance with the technical efficiency and productivity of companies in other segments of Bovespa. The technical efficiency scores showed no significant differences between groups of companies with and without governance. However, in the years of 2008 and 2009 companies with shares traded on other segments of Bovespa showed a higher level of technical efficiency. Similar results were observed with the Malmquist productivity index. In order to establish parameters in the comparison of the performance achieved by the efficiency scores were analyzed the traditional metrics for measuring the value, Tobin's Q and Firm Value. It was observed in the three years analyzed that the market value of companies in the segments of corporate governance is lower than the companies of other segments of stock trading. This research advances over previous contributions have focused on determining the performance, too, by measuring technical efficiency and productivity growth. The results allow a new angle of analysis in the evaluation of companies in a specific way for the adoption of good corporate governance practices.
Corporate governance; Technical efficiency; Malmquist index; Data envelopment analysis; Productivity
