Ownership Structure Variables Research Articles

The Choice Among Long‐Term Financing Instruments for Public Utilities

AbstractThis study examines the decision of regulated utilities to raise new financing via common stock, debt, or preferred stock offerings. We develop several logit models to test how a set of relevant variables affects the issuing choice. These variables include the level of insider ownership, regulatory climates, measures of aggregate market conditions, bankruptcy risk, deviations from the long‐and short‐term target ratios, asset composition, etc. In addition, this paper tests whether the cross‐sectional level of debt ratio is related to some of these same factors. Our findings indicate that U.S. electric utilities are not influenced by market timing when making a choice among long‐term financing instruments. However, our results do show that ownership structure variables, such as the number of directors and officers, seem to have a significant negative influence upon the choice of common stock, thus lending support to Friend and Lang's finding. In addition, capital structure seems to matter for utilities.

Growth and performance contrasts between ‘types’ of small firms

AbstractThis paper studies the interrelationships in the strategic profile of a sample of small firms, and, by using cross‐sectional analysis, attempts to identify any evidence to support the ‘stages of growth’ theories. Three surrogates for comparative growth were used in the analysis: number of employees, sales turnover, and profitability. A cluster analysis identified eight different ‘types’ of small firms characterized by ‘internal’ variables of ownership, management, and product structure; and by ‘external’ variables of product/market positioning. Analysis of variance tests found no significant differences between the clusters with regard to size. The results suggest that firms do change, but not necessarily in any prescribed sequence. Indeed, the evidence presented in this paper suggests that future research should be focused on developing theories which better describe the heterogeneity of the sector by analyzing the development within clusters of firms rather than seeking generalized overarching theories.