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The Annals of Regional Science

Erschienen in:

26.05.2023 | Original Paper

Broadband access and knowledge spillover influence on SBIR phase II awards in non-metropolitan regions

verfasst von: Thomas Keene, John Mann, Elizabeth A. Mack, Scott Loveridge

Erschienen in: The Annals of Regional Science | Ausgabe 3/2024

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Abstract

Die Studie untersucht, wie der Breitbandzugang Wissenseffekte und Innovationen in Regionen außerhalb der Metropolen beeinflusst, wobei der Schwerpunkt auf den Auswirkungen von Breitband auf die SBIR-Phase-II-Vergabe liegt. Er hebt die wirtschaftlichen Vorteile der Wissensverbreitung und die Rolle der staatlichen F & E-Finanzierung bei der Förderung von Innovationen hervor. Die Forschung befasst sich mit den geografischen Beschränkungen von Wissensausstrahlungseffekten und untersucht, wie Breitband diese Barrieren ausgleichen kann. Die Autoren stellen ökonometrische Modelle zur Bewertung der Auswirkungen von Breitband auf den Erfolg von SBIR-Phase-II-Vergaben vor und stellen fest, dass die Breitbandversorgung die Erfolgswahrscheinlichkeit von Nicht-U-Bahn-Unternehmen signifikant erhöht. Diese Arbeit trägt zum Verständnis bei, wie Breitband innovative Netzwerke stärken und den vorherigen Ausschluss von Wissensübertragungseffekten aufgrund physischer Entfernung kompensieren kann.

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Vorheriger Artikel Urban growth in the long term: Belgium, 1880–1970

Nächster Artikel School choice modeling and network optimization in an urban environment

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A recently established program, “direct-to-phase II,” provides a mechanism under some agency managed solicitations for firms that can demonstrate advanced R&D on a particular project to bypass phase I and go straight to phase II funding.

One rule of thumb suggests that the alpha dispersion parameter greater than 2 (some suggest greater than 1.1) points to the negative binomial as preferred to Poisson specification (Cameron and Trivedi 1990; Payne et al. 2018).

While not shown, in an earlier version of the model we interacted the first-time awardees with the broadband term. In the state FE model, the interaction term was positive and statistically significant. However, in the county-level FE model, while positive, the interaction coefficient’s p-value was about 0.18. This was part of the motivation to construct the binary response model, i.e., to see if we could tease more of the effects just on first-time awardees.

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Titel: Broadband access and knowledge spillover influence on SBIR phase II awards in non-metropolitan regions
verfasst von: Thomas Keene
John Mann
Elizabeth A. Mack
Scott Loveridge
Publikationsdatum: 26.05.2023
Verlag: Springer Berlin Heidelberg
Erschienen in: The Annals of Regional Science / Ausgabe 3/2024
Print ISSN: 0570-1864
Elektronische ISSN: 1432-0592
DOI: https://doi.org/10.1007/s00168-023-01228-z

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