Family firms and investments

Bianco, Madga and Golinelli, Roberto and Parigi, Giuseppe (2009): Family firms and investments.

Abstract

Family firms are a widespread control structure in most countries, especially among smaller firms. A vast literature addresses the question of whether they are performing better or worse than comparable non family firms, with not entirely conclusive results. Here we take a different, indirect approach and test whether investment decisions in family firms are more sensitive to uncertainty than in other firms. By using a novel dataset that includess both a better definition of family firms than commonly used (through self evaluation) and a very good proxy of the uncertainty on future demand that firms face, we are able to verify that – as compared to other firms – family firms are significantly more sensitive to uncertainty: this might contribute to explain why in some situations they perform better, whereas in others they do worse. We find evidence that this greater sensitivity to uncertainty in family firms is basically due to the effects of risk aversion and capital irreversibility, where the latter appear to be associated to a greater opaqueness of family firms rather than to the degree of sunkness of fixed capital. Finally, we propose some evidence that the prevalence of family firms in Italy might be associated to long standing institutional factors, such as an inefficient law enforcement system and a low social capital.

• Item Type: MPRA Paper
• Language: English
• Keywords: Family firms; investments; uncertainty; risk aversion; capital irreversibility
• Subjects: G - Financial Economics > G3 - Corporate Finance and Governance > G38 - Government Policy and Regulation; G - Financial Economics > G3 - Corporate Finance and Governance > G32 - Financing Policy ; Financial Risk and Risk Management ; Capital and Ownership Structure ; Value of Firms ; Goodwill; C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C33 - Panel Data Models ; Spatio-temporal Models

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