Long-run effects of public–private research joint ventures: The case of the Danish Innovation Consortia support scheme

Abstract

Subsidized research joint ventures (RJVs) between public research institutions and industry have become increasingly popular in Europe and the US. We study the long-run effects of such a support scheme that has been maintained by the Danish government since 1995. To cope with identification problems we apply nearest neighbor matching and conditional difference-in-difference estimation methods. Our main findings are that (i) program participation effects are instant for annual patent applications and last for three years, (ii) employment effects materialize first after one year and (iii) there are no statistically significant effects on value added or labor productivity. We further show that these overall results are primarily driven by firms that were patent active prior to joining the RJV and that there are no statistically significant effects for large firms. The insignificant results we document for large firms coupled with the fact that these type of firms are over-represented in many support programs, including the one considered here, leads us to suggest a rethinking of support policies that often aim at large firms.