Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/200831 
Year of Publication: 
2018
Citation: 
[Journal:] KDI Journal of Economic Policy [ISSN:] 2586-4130 [Volume:] 40 [Issue:] 4 [Publisher:] Korea Development Institute (KDI) [Place:] Sejong [Year:] 2018 [Pages:] 47-63
Publisher: 
Korea Development Institute (KDI), Sejong
Abstract: 
Government R&D grants for SMEs have risen to three trillion Korean won a year, placing Korea second among OECD nations. Indeed, analysis results have revealed that government support has not only expanded corporate R&D investment and the registration of intellectual property rights but has also increased investment in tangible and human assets and marketing. However, value added, sales and operating profit have lacked improvement owing to an ineffective recipient selection system that relies solely on qualitative assessments by technology experts. Nevertheless, if a predictive model is properly applied to the system, the causal effect on value added could increase by more than two fold. Accordingly, it is important to focus on economic performance rather than technical achievements to develop such a model.
Subjects: 
R&D Policy
SMEs
Program Evaluation Genetic Matching
Heterogeneous Causal Effect
JEL: 
O32
O38
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-sa Logo
Document Type: 
Article

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.