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Identifying Cooperation for Innovation―a Comparison of Data Sources
Industry and Innovation,
The value of social network analysis is critically dependent on the comprehensive and reliable identification of actors and their relationships. We compare regional knowledge networks based on different types of data sources, namely, co-patents, co-publications, and publicly subsidized collaborative R&D projects. Moreover, by combining these three data sources, we construct a multilayer network that provides a comprehensive picture of intraregional interactions. By comparing the networks based on the data sources, we address the problems of coverage and selection bias. We observe that using only one data source leads to a severe underestimation of regional knowledge interactions, especially those of private sector firms and independent researchers.
Is Social Capital Associated with Corporate Innovation? Evidence from Publicly Listed Firms in the U.S.
Journal of Corporate Finance,
We find that social capital in U.S. counties, as captured by strength of social norms and density of social networks, is positively associated with innovation of firms headquartered in the county, as captured by patents and citations. This relation is robust in fixed-effect regressions, instrumental variable regressions with a Bartik instrument, propensity score matching regressions, and a difference-in-differences design that isolates the effects of over time variations in social capital due to corporate headquarter relocations. Strength of social norms plays a more dominant role than density of social networks in producing these empirical regularities. Cross-sectional evidence indicates the prominence of the contracting channel through which social capital relates to innovation. Additionally, we find that social capital is also positively associated with trademarks and effectiveness of corporate R&D expenditures.