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Distribution and Clusters of Basic Innovations

In: Industry 4.0

Author

Listed:
  • Michael Y. Bolotin

    (St. Petersburg State University of Economics)

  • Tessaleno C. Devezas

    (University of Beira Interior)

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.

Suggested Citation

  • Michael Y. Bolotin & Tessaleno C. Devezas, 2017. "Distribution and Clusters of Basic Innovations," Studies on Entrepreneurship, Structural Change and Industrial Dynamics, in: Tessaleno Devezas & João Leitão & Askar Sarygulov (ed.), Industry 4.0, pages 117-135, Springer.
    • Handle: RePEc:spr:seschp:978-3-319-49604-7_6
    DOI: 10.1007/978-3-319-49604-7_6
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