Hatching and fledging? A meta-analysis of the performance effects of business incubators

Research Summary: Business incubators are among the most widely implemented instruments to foster entrepreneurship. Yet empirical evidence on their effectiveness remains fragmented and often contradictory. Limited research systematically compares how different types of incubators influence multiple venture performance outcomes, including innovation, survival, growth, profitability, and employment. In this meta-analysis of 39 empirical studies encompassing 55,219 firms, we synthesize the relationship between business incubation and different venture performance dimensions. Our results reveal a significant positive overall effect, moderated by the types of support mechanisms provided and the incubators' ownership identities. We find strong positive effects on innovation and a modest but statistically significant effect on growth, whereas effects on survival, profitability, and employment are weaker and, in part, statistically insignificant. Managerial Summary: Policymakers regularly invest in incubators, yet uncertainty remains about which models deliver meaningful value to supported firms. Drawing on evidence from 39 studies covering more than 55,000 firms, this meta-analysis shows that incubators can improve innovation and firm growth, while effects on survival, profitability, and job creation are limited or inconsistent. Incubator design and governance are central drivers of support effectiveness. Programs that emphasize bridging-that is, linking startups to investors, customers, and expert networks-generate stronger outcomes than models focused primarily on buffering, such as subsidized space or administrative support. Private and university incubators outperform public models, which often face bureaucratic constraints. These findings provide guidance on how managers and policymakers can align an incubator's support model and governance with the specific outcomes they seek to achieve.