Innovation and Co-location
AbstractAbstract Here we attempt to advance the understanding of the impact of co-locative factors on regional innovation performance. The objectives are to answer what role co-location plays in explaining differences in regional innovation performance and what methodological improvements can compensate for the shortcomings of existing econometric analyses. The study is based on register data from the Business Register of Statistics Norway and the patent data from the Norwegian Patent Office for the period 1995–2003, aggregated to 161 labour market regions of Norway. A Bayesian spatial autoregressive (heteroscedastic) estimation procedure is applied. The results confirm the role of various co-locative factors in the spatial distribution of innovation.
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Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Spatial Economic Analysis.
Volume (Year): 3 (2008)
Issue (Month): 2 ()
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Web page: http://www.tandfonline.com/RSEA20
Find related papers by JEL classification:
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- O18 - Economic Development, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
- O31 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
- R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
- R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
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- Karsten Rusche & Uwe Kies & Andreas Schulte, 2011. "Measuring spatial co-agglomeration patterns by extending ESDA techniques," Jahrbuch für Regionalwissenschaft, Springer, vol. 31(1), pages 11-25, June.
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