Sven-Olov Daunfeldt (), Daniel Halvarsson, Patrik Gustavsson Tingvall and Alexander McKelvie
Additional contact information
Sven-Olov Daunfeldt: Institute of Retail Economics (Handelns Forskningsinstitut), Postal: Handelns Forskningsinstitut, Regeringsgatan 60, 103 29 Stockholm, Sweden
Daniel Halvarsson: the Ratio Institute
Patrik Gustavsson Tingvall: Södertörn University Stockholm, Sweden
Abstract: Most previous studies on the employment effects of government R&D grants targeting SMEs are characterized by data-, measurement-, and selection problems, making it difficult to construct a relevant control group of firms that did not receive a R&D grant. We investigate the effects on employment and firm-level demand for high human capital workers of two Swedish programs targeted towards growth-oriented SMEs using Coarsened Exact Matching. Our most striking result is the absence of any statistically significant effects. We find no robust evidence that the targeted R&D grant programs had any positive and statistically significant effects on the number of employees recruited into these SMEs, or that the grants are associated with an increase in the demand for high human capital workers. The lack of statistically significant findings is troublesome considering that government support programs require a positive impact to cover the administrative costs associated with these programs.
Keywords: Innovation policy; R&D grants; Matching grants; Statistical matching methods; High human capital; Firm growth; Outcome additionality
33 pages, October 1, 2021
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