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Innovative clusters and the industry life cycle

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Abstract

The purpose of this paper is to link the propensity for innovative activity to spatially cluster to the stage of the industry life cycle. The theory of knowledge spillovers, based on the knowledge production function for innovative activity, suggests that geographic proximity matters the most where tacit knowledge plays an important role in the generation of innovative activity. According to the emerging literature of the industry life cycle, tacit knowledge plays the most important role during the early stages of the industry life cycle. Based on a data base that identifies innovative activity for individual states and specific industries for the United States, the empirical evidence suggests that the propensity for innovative activity is shaped by the stage of the industry life cycle. While the generation of new economic knowledge tends to result in a greater propensity for innovative activity to cluster during the early stages of the industry life cycle, innovative activity tends to be more highly dispersed during the mature and declining stages of the life cycle, particularly after controlling for the extent to which the location of production is geographically concentrated. This may suggest that the positive agglomeration effects during the early stages of the industry life cycle become replaced by congestion effects during the latter stages of the industry life cycle.

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An earlier version of this paper was presented at the International Conference on Small Business Economics, 26–27 August, Rotterdam. We would like to thank Steven Klepper, Josh Lerner and the other participants on this conference for their helpful suggestions. All errors and responsibilities remain ours.

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Audretsch, D.B., Feldman, M.P. Innovative clusters and the industry life cycle. Rev Ind Organ 11, 253–273 (1996). https://doi.org/10.1007/BF00157670

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