This paper explores the relationship between innovation and the survival of manufacturing firms in the Netherlands. The determinants of the survival probability of a firm, traditionally identified in the size and age of a firm, are extended to include the ability of a firm to introduce an innovation in the market. The empirical analysis combines economic and demographic data from the Business Register of the population of firms active in the Netherlands with data on innovation derived from the second Community Innovation Survey. The survival probability of a firm is estimated by using a non-parametric approach: Transition Probability Matrices were calculating over different time periods. We observe that, in general, innovation has a positive and significant effect on firms' survival that increases as time lengthens. Furthermore, our results confirm that small and young firms are those most exposed to the risk of exit, but at the same time those that benefit most of innovation to survive in the market, especially in the longer term.

This paper examines the effects of innovation on the survival of manufacturing firms in the Netherlands. The demographics of firms according to their innovative performance and type of innovation are traced by using the Business Register population of all firms active in the Netherlands and the Community Innovation Survey. Through estimation of a parametric duration model, we observe that firms do benefit of an innovation premium that extends their life expectancy, independent of firm-specific traits such as age and size. Especially process innovation seems to have a distinctive effect on survival. Furthermore, our results confirm that survival chances increase with age and the growth rate of a firm, the latter representing a more crucial factor than the initial size. Finally, sectors at high intensity of technology, that is, science based and specialised suppliers are most favourable environments to the survival of firms.

We review the literature on clusters and their effects on entry, exit and growth of firms as well on the evolutionary dynamics underlying the process of cluster formation. Our extensive review shows that there is strong evidence that clusters promote entry, but little evidence that clusters enhance firm growth and firm survival. The emergence of clusters is best understood as an evolutionary process of capability transmission between parent firms and their spinoffs, rather than as an outcome of localisation economies that would increase the performance firms in clusters compared to firms outside clusters. From a number of open questions we distil various future research avenues stressing the importance of understanding firm heterogeneity and the exact mechanisms underlying localisation economies.

This work explores and compares some basic properties of corporate growth process at both aggregate manufacturing level and disaggregated sectoral levels. Using an extensive dataset on Italian manufacturing firms, we investigate which properties of firm growth dynamics are robust under disaggregation. We compare the results obtained with three different definitions of firm size, namely total sales, number of employees and value added. Our analysis suggests that while different sectors are characterized by significant differences in firm size distributions, in the degrees of concentration and in the autoregressive structure of the growth processes, there are also regularities which hold across all of them, such as the approximate unit root nature of the growth process and the power exponential shape of the growth rates density. Together, these “stylized facts” suggest challenging puzzles on the drivers of corporate growth and the resulting industrial structures. Copyright Springer 2007aggregation, concentration, firm growth, size distribution, C1, D2, L1,