Abstract
This paper proposes a new measure for assessing the network proximity between aggregated units, based on disaggregated information on the network distance of actors. Specific focus is on R&D network structures between regions. We introduce a weighted version of the proximity measure, related to the idea that direct and indirect linkages carry different types of knowledge. First-order proximity arising from direct cross-regional linkages is distinguished from higher-order network proximity, resulting from indirect linkages in the R&D network. We use an macroeconomic application in which we analyse the productivity effects of R&D network spillovers across regions to illustrate the usefulness of a proximity measure for aggregated units.
Original language | English |
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Pages (from-to) | 314-325 |
Journal | Social Networks |
Volume | 54 |
DOIs | |
Publication status | Published - Jul 2018 |
Keywords
- Network proximity
- Aggregated networks
- First-order proximity
- Higher-order proximity
- R&D networks
- Knowledge spillovers