The role of interregional and inter-sectoral knowledge spillovers on regional knowledge creation across US metropolitan counties
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| Název: | The role of interregional and inter-sectoral knowledge spillovers on regional knowledge creation across US metropolitan counties |
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| Autoři: | Kekezi, Orsa, Dall'erba, Sandy, Kang, Dongwoo |
| Zdroj: | Spatial Economic Analysis. 17(3):291-310 |
| Témata: | knowledge production function, knowledge spillovers, sectoral heterogeneity, panel Tobit model |
| Popis: | This paper relies on a regional knowledge production function to examine the heterogeneous determinants of knowledge creation across five US manufacturing sectors and 853 metropolitan counties over the period 2001-08. Using a Tobit model with state fixed effects, the results indicate that local intra- and inter-sectoral research and development (R&D) investments by the private sector as well as university R&D play a key role in knowledge creation across all sectors under study. We also find that the role of short- versus long-distance interregional spillovers on knowledge creation varies greatly across sectors. These key features improve the design of future local and national innovation policies. |
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| Přístupová URL adresa: | https://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-56129 https://doi.org/10.1080/17421772.2022.2045344 |
| Databáze: | SwePub |
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Nájsť tento článok vo Web of Science | Abstrakt: | This paper relies on a regional knowledge production function to examine the heterogeneous determinants of knowledge creation across five US manufacturing sectors and 853 metropolitan counties over the period 2001-08. Using a Tobit model with state fixed effects, the results indicate that local intra- and inter-sectoral research and development (R&D) investments by the private sector as well as university R&D play a key role in knowledge creation across all sectors under study. We also find that the role of short- versus long-distance interregional spillovers on knowledge creation varies greatly across sectors. These key features improve the design of future local and national innovation policies. |
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| ISSN: | 17421772 17421780 |
| DOI: | 10.1080/17421772.2022.2045344 |