Synergy in the Knowledge Base of U.S. Innovation Systems at National, State, and Regional Levels: The Contributions of High-Tech Manufacturing and Knowledge-Intensive Services
Loet Leydesdorff, Caroline S. Wagner, Igone Porto-Gomez, Jordan A., Comins, and Fred Phillips

TL;DR
This study uses information theory to measure innovation synergy across U.S. regions, revealing that innovation systems are primarily regional rather than national, with significant contributions from high-tech manufacturing and knowledge-intensive services.
Contribution
It introduces an information-theoretic approach to quantify regional innovation systemness and demonstrates that U.S. innovation operates mainly at state and regional levels, not nationally.
Findings
Innovation synergy is primarily regional, not national.
California and East Coast are major innovation hubs.
Silicon Valley's knowledge spillovers extend globally.
Abstract
Using information theory, we measure innovation systemness as synergy among size-classes, zip-codes, and technological classes (NACE-codes) for 8.5 million American companies. The synergy at the national level is decomposed at the level of states, Core-Based Statistical Areas (CBSA), and Combined Statistical Areas (CSA). We zoom in to the state of California and in more detail to Silicon Valley. Our results do not support the assumption of a national system of innovations in the U.S.A. Innovation systems appear to operate at the level of the states; the CBSA are too small, so that systemness spills across their borders. Decomposition of the sample in terms of high-tech manufacturing (HTM), medium-high-tech manufacturing (MHTM), knowledge-intensive services (KIS), and high-tech services (HTKIS) does not change this pattern, but refines it. The East Coast -- New Jersey, Boston, and New…
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