
handle: 10419/44982
Principle-agent theory suggests managers might under-invest into R&D for reasons of risk tied to project failure, such as reduced remuneration and job loss. However, managers might over-invest into innovation for reasons of growth implying higher remuneration, power and prestige. Using a sample of 1,406 Belgian firms, we find, first, that managers holding no company shares under-invest into R&D compared to owners giving rise to the risk argument. Second, we find an inverse u-shaped relationship between the degree of managerial ownership and R&D. Thus, managers become entrenched, i.e. powerful enough to pursue their own interests. When entrenched, managers do not fear detrimental effects of risky innovation projects on their career, and hence tend to over-invest into innovation.
O31, O32, corporate governance,managerial ownership,entrenchment,innovation,R&D investments, 330, ddc:330, corporate governance, managerial ownership, innovation, entrenchment, R&D investments, G32, jel: jel:G32, jel: jel:O31, jel: jel:O32
O31, O32, corporate governance,managerial ownership,entrenchment,innovation,R&D investments, 330, ddc:330, corporate governance, managerial ownership, innovation, entrenchment, R&D investments, G32, jel: jel:G32, jel: jel:O31, jel: jel:O32
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 36 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
