Resource title

Regional innovation in the US over space and time

Resource image

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Resource description

Modeling the spatial aspect of growth has finally become an important subject of economics as exemplified by the increasing popularity of the new economic geography. However, new economic geography models have still not been able to develop a consistent approach to integrate innovation, space and economic growth into a coherent theoretical framework A potential reason for this is that the spatial dimension of knowledge production is still only partly understood in the empirical literature. To shed some additional light on the spatial dimension of innovation we present results of a first-cut analysis building on a recently developed cross sectional-time series data set of US innovation, private and university research and high technology employment. The novelty of this data set is that it opens up the possibilities to incorporate the time dimension into knowledge production function analysis at an appropriate level of spatial aggregation (i.e., US metropolitan areas) that has not been possible in empirical research yet.

Resource author

Attila Varga, Luc Anselin, Zoltán J. Ács

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Resource publish date

Resource language

eng

Resource content type

text/html

Resource resource URL

http://hdl.handle.net/10419/19963

Resource license

Adapt according to the presented license agreement and reference the original author.