Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in AbstractThis paper investigates the allocation of R&D subsidies given to start-ups. Considering the coexistence of various R&D project schemes, we take an aggregate view and analyze the determinants of the receipt of (any) R&D subsidies within the first three business years of the start-ups. We argue that policymakers and funding authorities follow a strategy of "picking the winner". Analyzing a unique data set of start-ups in the East German state of Thuringia, we conduct logistic regressions and find ambiguous support. R&D subsidies are given to start-ups with innovative business ideas, especially academic spin-offs. On the other hand, the ambitions and the patent stock of the founder(s) do not decide the receipt of R&D subsidies. These insights into the overall allocation of R&D subsidies are important since they have implications for policy effectiveness and efficiency. The implied difficulties of policy targeting fundamentally question the massive subsidization of private R&D.

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This paper investigates economic and subjective effects of public business advice delivered to nascent entrepreneurs in Germany. We analyze data from the Thuringian Founder Study, an interdisciplinary research project on innovative entrepreneurship. Employing cluster analysis, we first explore the actual scope and intensity of business advice used. Two distinct groups of policy take-up can be identified: 1) use of intense assistance across all areas, and 2) use of less intensive assistance being limited to operational issues. Then we analyze personal entrepreneurial resources (human and social capital, entrepreneurial personality profile) as predictors of take-up and perceived usefulness taking into account the different patterns of utilized advice. Finally, we assess economic effects by studying subsequent business performance employing propensity score matching. We cannot reveal that business advice translates into better start-up performance, but our results indicate that advice may help founders with fewer resources to overcome barriers in the founding process. We find that a lack of personal entrepreneurial resources predicts take-up of business advice in general as well as perceived usefulness of comprehensive business advice.

start-ups, subsidies, subsidy allocation, policy evaluation, L53, O38, H59,