To understand the nature and extent of innovation spillovers, input, output, and outcome data need to be matched at different levels of aggregation. This includes data with better geographic detail. It was suggested that if companies reported on the R&D survey forms the locations of their R&D activities, the data could be matched to Statistical Metropolitan Area (SMA) data to allow better analysis of the extent of local spillovers and the formation and dynamics of innovative, technology-intensive geographic regions.
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6 Measuring Outputs and Outcomes of Innovation ."
Industrial Research and Innovation Indicators: Report of a Workshop . Washington, DC: The National Academies Press,
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