“…Consistent with Grant et al () and other authors (e.g., Lee et al, ; Palich et al, ), our study seeks to control a set of variables that may have some kind of impact on ROA and ROS, and which allow us to minimize the potential risk of the omitted variable bias. These variables are: Growth in turnover ( Sales Growth ) measured as the increase in the firm's sales over two successive years (e.g., Lu & Beamish, ; Wan, ); Age , computed as the difference between the present year and the year in which the firm was incorporated (e.g., Kandilov, ); Size , measured on the basis of the natural logarithm of the firm's overall headcount (e.g., Colpan, ); advertising intensity ( Advertising ), measured as the percentage of the expenditure on advertising, publicity, and public relations over sales (e.g., Colpan, ; Lu & Beamish, ); R&D intensity ( R&D ), measured through the ratio between the firm's R&D expenditure and its sales (e.g., Lu & Beamish, ); work productivity ( Productivity ), measured through the ratio of value added to the approximation of the average number of employees during the year (e.g., Palia & Lichtenberg, ); market listing ( Listing ) as a dichotomous variable that takes a value of 1 if the firm is listed on the stock market, and a value of 0 otherwise (e.g., Elango, ). Finally, we considered industry and time dummy variables.…”