Government-subsidized R&D and Firm Innovation: Evidence from China
By D. Guo, Yan Guo, K. Jiang. 2016
538 citations recorded by the source corpus.
This study investigates the effects of government R&D programs on firm innovation outputs, which are measured by the number of patents, sales from new products, and exports. Particularly, we examine the effects of Innovation Fund for Small and Medium Technology-based Firms (Innofund), which is one of the largest government R&D programs that support R&D activities of small and medium-sized enterprises in China. Using a panel dataset on Chinese manufacturing firms from 1998 to 2007, we find that Innofund-backed firms generate significantly higher technological and commercialized innovation outputs compared with their non-Innofund-backed counterparts and the same firms before winning the grant. Moreover, the changes in the governance of Innofund in 2005 from a centralized to a decentralized one because of policy amendments have significant effects on the effectiveness of the program. Specifically, the magnified effects of Innofund on technological innovation outputs become significantly stronger after the governance of Innofund becomes more decentralized. Identification problems are addressed by utilizing both propensity score matching and two-stage estimation approaches.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/8e3e1a8c541e11fecd9242135828d2107fccb6d5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
Citations in the corpus
- Escaping the middle-income technology trap: A comparative analysis of industrial policies in China, Brazil and South Africa (2020, background): “InnoFund has precisely-defined eligibility criteria, and provides different types of financial support targeting different types of companies at different stages of development, from loan interest subsidies to equity investment (Guo et al., 2016).”