Distribution and Clusters of Basic Innovations

Michael Y. Bolotin () and Tessaleno C. Devezas ()
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Michael Y. Bolotin: St. Petersburg State University of Economics
Tessaleno C. Devezas: University of Beira Interior

A chapter in Industry 4.0, 2017, pp 117-135 from Springer

Abstract: Abstract This paper presents our recent results on the issue of the temporal distribution of basic innovations, which, as we know, it is the main driver of economic growth. Numerous scholars have addressed this issue, and we can say that the Poison distribution is the commonly accepted one. On the other hand, there is not a convincing substantiation of the fact. This article provides a retrospective analysis of statistical evidence, and present a proof of the Poisson distribution of basic innovations based on the theory of random processes. In the empirical part of the research we have used one unified supersample time series rather than smaller different datasets as previously done by other authors.

Keywords: Basic innovation; Economic cycles; Random processes; Poisson distribution; Innovation clusters (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:seschp:978-3-319-49604-7_6

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DOI: 10.1007/978-3-319-49604-7_6

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