Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/200831
Authors: 
Lee, Sungho
Jo, Jingyeong
Year of Publication: 
2018
Citation: 
[Journal:] KDI Journal of Economic Policy [ISSN:] 2586-4130 [Volume:] 40 [Year:] 2018 [Issue:] 4 [Pages:] 47-63
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: 
https://creativecommons.org/licenses/by-sa/4.0/
Document Type: 
Article

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