Funding R&D Cooperation Between Firms and Universities - The Effectiveness of the Innosuisse Model


Loading...

Date

2024-12

Publication Type

Working Paper

ETH Bibliography

yes

Citations

Altmetric

Data

Abstract

This paper investigates the causal effect of funding research and development (R&D) cooperation with public universities on the performance of firms. We use comprehensive firm-level panel data from Switzerland that spans from 2010 to 2022 and covers a broad set of variables including the innovation support received by firms. We examine the effectiveness of the most important public innovation agency Innosuisse, which funds R&D cooperation between firms and universities. To identify the causal effect, we use three newly developed difference-in-differences estimators that allow for arbitrary treatment effect heterogeneity. Because firms selectively apply for funding and Innosuisse selectively funds a subset of applicants, we have a twofold selection problem. To make the parallel trends assumption more plausible, we create a control group based on firms that never applied for Innosuisse funding but otherwise resemble the funded firms. The baseline results show that the funding increases firm sales by 21% and employment by 18% on average over a time window of 5 years. We use specification curve analysis to show that this result holds over numerous important alternative specifications. The funding of R&D cooperation between firms and universities can thus be a potent alternative to more traditional policy instruments like R&D subsidies or tax credits.

Publication status

published

External links

Editor

Book title

Volume

522

Pages / Article No.

Publisher

KOF Swiss Economic Institute, ETH Zurich

Event

Edition / version

Methods

Software

Geographic location

Date collected

Date created

Subject

Organisational unit

02525 - KOF Konjunkturforschungsstelle / KOF Swiss Economic Institute check_circle
06333 - KOF FB Innovationsökonomik / KOF Innovation Economics check_circle

Notes

Funding

Related publications and datasets

Is part of: