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New Business Formation by Industry over Space and Time

Part of the Contributions to Management Science book series (MANAGEMENT SC.)

Abstract

There is little doubt that new business formation plays an important role in the process of economic development (Fritsch and Mueller 2004; van Stel and Storey 2004; Carree and Thurik 2003).2 Each new business or market entry represents a challenge to the incumbents and, consequently, may generate significant incentives for improvements. The determinants of new business formation have been investigated theoretically and empirically in a number of ways. Most empirical studies in this field are cross-sectional analyses of different industries or regions.3 Longitudinal analyses of new business formation processes are rather rare.4 A severe shortcoming of these analyses is that most of them are limited to only one category of influence — industry, space or time — and tend to neglect other factors. The types of influences that are accounted for is mainly due to the approach chosen. For example, cross-sectional analyses limited to the industry level can only investigate the role of industry characteristics (e.g., minimum efficient size, capital intensity) but not regional determinants such as population density or workforce qualifications. Without accounting for the regional dimension, however, in the case of such industry-level studies, reliable results cannot be attained if the importance of a certain factor, such as innovation conditions, varies significantly across regions. Additionally, if certain regional conditions stimulate new business formation in some industries but deter start-ups in other industries, the effect of space on the formation of new businesses cannot be adequately assessed by means of an interregional approach that does not account for different industries.5

Keywords

Gross Domestic Product Small Business Venture Capital Nascent Entrepreneur Labor Unit Cost 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Physica-Verlag Heidelberg 2007

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