"Medium-tech" industries may be of greater importance to a local economy than "High-tech" firms: New methods for measuring the knowledge base of an economic system
Wilfred Dolfsma, Loet Leydesdorff

TL;DR
This paper introduces a probabilistic entropy-based method to measure the knowledge base of an economy, revealing that medium-tech industries may be more vital to local economies than high-tech firms.
Contribution
It proposes a novel entropy-based approach to assess economic knowledge systems and highlights the significant role of medium-tech industries in regional economic knowledge.
Findings
Medium-tech industries are more important for local economies than high-tech firms.
Knowledge diffusion in medium-tech industries contributes more to regional self-organization.
High-tech industries and knowledge-intensive services have different impacts on regional knowledge dynamics.
Abstract
In this paper we offer a way to measure the knowledge base of an economy in terms of probabilistic entropy. This measure, we hypothesize, is an indication of the extent to which a system, including the economic system, self-organizes. In a self-organizing system, interactions between dimensions or subsystems will unintentionally give rise to anticipations that are properly aligned. The potential reduction of uncertainty can be measured as negative entropy in the mutual information among three (or more) dimensions. For a knowledge-based economy, three dimensions can be considered as key: the distribution of firm sizes, the geographical locations, and the technological classifications of firms. Based on statistics of these three dimensions and drawing on a unique dataset of all Dutch firms registered with the Chambers of Commerce, we are able to refine well-known empirical findings for…
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Taxonomy
TopicsUniversity-Industry-Government Innovation Models · Regional Development and Policy · Innovation and Knowledge Management
