Template-Type: ReDIF-Paper 1.0
Author-Name: Laura Barbieri
Author-X-Name-First: Laura
Author-X-Name-Last: Barbieri
Author-Email: laura.barbieri@unicatt.it
Author-Workplace-Name: Dipartimento di Scienze Economiche e Sociali, Università Cattolica
Author-Name: Daniela Bragoli
Author-X-Name-First: Daniela
Author-X-Name-Last: Bragoli
Author-Email: daniela.bragoli@unicatt.it
Author-Workplace-Name: Dipartimento di Discipline matematiche, Finanza matematica ed Econometria, Università Cattolica
Author-Name: Flavia Cortelezzi
Author-X-Name-First: Flavia
Author-X-Name-Last: Cortelezzi
Author-Email: flavia.cortelezzi@uninsubria.it
Author-Workplace-Name: Dipartimento di Diritto, Economia e Culture, Università degli Studi dell’Insubria
Author-Name: Giovanni Marseguerra
Author-X-Name-First: Giovanni
Author-X-Name-Last: Marseguerra
Author-Email: giovanni.marseguerra@unicatt.it
Author-Workplace-Name: Dipartimento di Discipline matematiche, Finanza matematica ed Econometria, Università Cattolica
Title: Public Support to Innovation Strategies
Abstract: This study investigates whether the receipt of public R&D funding determines firm's R&D strategy election. Using the Community Innovation Survey (CIS) dataset including more than 3000 Italian manufacturing companies, we adopt a multinomial logit model after controlling for sample selection and endogeneity issues which arise when dealing with CIS data. The main finding is that public R&D funding in
uences whether firms select the make, the buy or the make&buy strategy and in particular firms, after receiving public support, prefer the composite strategy rather than the single strategies. This result turns out to be good news given that government support, correcting for the market failures which characterize the combined strategy, favors the strategy which seems to enhance a positive synergy between in house R&D and external sourcing.
Length: 39 pages
Creation-Date: 2015-12
Publication-Status:
File-URL: http://dipartimenti.unicatt.it/dises-dises_wp_15_109.pdf
File-Format: Application/pdf
File-Function: First version, 2015
Number: dises1509
Classification-JEL: G32, O31, D21
Keywords: Public Funding, R&D strategies, CIS Survey
Handle: RePEc:ctc:serie2:dises1509