Measuring the knowledge base of an economy in terms of triple-helix relations among 'technology, organization, and territory'

By Loet Leydesdorff, Wilfred Dolfsma, Gerben van der Panne. 2004

216 citations recorded by the source corpus.

Can the knowledge base of an economy be measured? In this study, we combine the perspective of regional economics on the interrelationships among technology, organization, and territory with the triple-helix model, and offer the mutual information in three dimensions as an indicator of the configuration. When this probabilistic entropy is negative, the configuration reduces the uncertainty that prevails at the systems level. Data about more than a million Dutch companies are used for testing the indicator. The data contain postal codes (geography), sector codes (proxy for technology), and firm sizes in terms of number of employees (proxy for organization). The configurations are mapped at three levels: national (NUTS-1), provincial (NUTS-2), and regional (NUTS-3). The levels are cross-tabled with the knowledge-intensive sectors and services. The results suggest that medium-tech sectors contribute to the knowledge base of an economy more than high-tech ones. Knowledge-intensive services have an uncoupling effect, but less so at the high-tech end of these services.

Subfields: Management of Technology and Innovation, Political Science and International Relations, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/888e4c7695a6152fa88fddb5c71f9c91eb36ffdc

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In Management of Technology and Innovation

In Political Science and International Relations

In Strategy and Management

Citations in the corpus

Triple Helix Systems: An Analytical Framework for Innovation Policy and Practice in the Knowledge Society (2013, background): “…between the Triple Helix actors can be measured in terms of probabilistic entropy, which, when negative, suggests a self-organizing dynamic that may be temporarily stabilized in the overlay of communications among the carrying agencies (see, for example, Leydesdorff, 2003; Leydesdorff et al, 2006).”
Measuring the knowledge base of regional innovation systems in Germany in terms of a Triple Helix dynamics, Research Policy (forthcoming). (2006, methodology): “For reasons of comparison with the Dutch study (Leydesdorff et al., 2006), we used the same classification for the average establishment sizes (Table 3).”
Longitudinal trends in networks of university-industry-government relations in South Korea: The role of programmatic incentives (2009, methodology): “Leydesdorff, 2003; Leydesdorff & Fritsch, 2006; Leydesdorff et al., 2006; Park et al., 2005,”
Territorial servitization: Exploring the virtuous circle connecting knowledge-intensive services and new manufacturing businesses (2017, background): “On the one hand, we introduce the stock of manufacturing firms as a measure of the economic capacity of manufacturing sectors at the territorial level (Leydesdorff et al., 2006).”