The paper explores the causes and effects of persistence in the discretionary alloca- tion of public subsidies to R&D activities performed by private firms in high-tech and low-tech industries. It applies the distinction between vicious Matthew-effect and vir- tuous Matthew-effect. The former qualifies the persistence in the The paper The paper explores the causes and effects of persistence in thediscretionary allocation of public subsidies in terms of sheer reputation based upon previous awards. The latter is identified by the role of the accumulation of competence stemming from past grants in current R&D activities. Virtuous Matthew effects are found in high-tech industries where knowledge cumulability is higher. In traditional industries, vicious Matthew effects prevail for the lower levels of knowledge cumulability. Here reputation-Matthew-effects can lead to substitution of private funds with public ones.

Matthew effects and R&D subsidies: Knowledge cumulability in high-tech and low-tech industries

ANTONELLI, Cristiano;
2012-01-01

Abstract

The paper explores the causes and effects of persistence in the discretionary alloca- tion of public subsidies to R&D activities performed by private firms in high-tech and low-tech industries. It applies the distinction between vicious Matthew-effect and vir- tuous Matthew-effect. The former qualifies the persistence in the The paper The paper explores the causes and effects of persistence in thediscretionary allocation of public subsidies in terms of sheer reputation based upon previous awards. The latter is identified by the role of the accumulation of competence stemming from past grants in current R&D activities. Virtuous Matthew effects are found in high-tech industries where knowledge cumulability is higher. In traditional industries, vicious Matthew effects prevail for the lower levels of knowledge cumulability. Here reputation-Matthew-effects can lead to substitution of private funds with public ones.
2012
71
5
31
Innovation R&D Subsidies Matthew Effects Past-Dependence Path-Dependence
Cristiano Antonelli; Francesco Crespi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/129822
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