Providing an Optimal Total Productivity Model based on the Combination of the Ownership and Supervisory Efficiency of Independent Managers

The aim of the current research was to present an optimal model for total productivity based on the combination of ownership and supervisory efficiency of independent managers of companies listed on the Tehran Stock Exchange. This research was a descriptive-deductive description in terms of its practical purpose and the method used. In order to analyze the data using the panel data method and to test the hypotheses, multiple linear regression tests were conducted in a sample consisting of 80 selected companies admitted to the Tehran Stock Exchange in the period of 1393-1400. In this research, the rate of return on equity and the ratio of book value to market value were used to measure the productivity index. The results of the estimation of the research models showed that when the variable rate of return on equity is considered as a productivity index, the composition of ownership has a significant negative effect on productivity. In fact, greater concentrated ownership in the institutional and major shareholders of the company causes a significant decrease in the productivity of companies; however, the increase in the number of non-commissioned members compared to the total number of board members as an indicator of the supervisory efficiency of independent directors does not have a significant effect on productivity. The effects of financial leverage and company size on the productivity of companies were found to be both negative and positive, that is, when the variable of the ratio of book value to market value is considered as a productivity index, ownership composition has a negative effect on productivity, but the effect of increasing the supervisory efficiency of independent managers on productivity was found to be significantly positive. As a result, reducing the concentration of managers’ ownership and increasing the number of non-commissioned board members can improve productivity.