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Asia-pacific Journal of Law, Politics and Administration

Volume 2, No. 2, 2018, pp 77-82
http://dx.doi.org/10.21742/ajlpa.2018.2.2.11

Abstract



Analysis of the Effect of R&D Planning Support for SMEs Using Latent Growth Modeling



    Ju Hwan Seo1, Jung-Sun Lim2, Seung-Pyo Jun3
    1Senior Researcher, Data Analysis Platform Center, Korea Institute of Science and Technology Information, 66, Hoegi-ro, Dongdaemun-gu, Seoul, Korea
    2Senior Researcher, R&D Investment Analysis Center, Korea Institute of Science and Technology Information, 66, Hoegi-ro, Dongdaemun-gu, Seoul, Korea
    3(Corresponding Author) Principal Researcher, Data Analysis Platform Center, Korea Institute of Science and Technology Information, 66, Hoegi-ro, Dongdaemun-gu, Seoul, Korea
    1nano@kisti.re.kr, 2 jsunnylim@kisti.re.kr, 3spjun@kisti.re.kr

    Abstract

    The government has promoted the technological innovation of small and medium enterprises (SMEs) by implementing various R&D funding programs. This study analyzes the effects of R&D planning support on the change of corporate financial data by using latent growth modeling. The analysis results show that the recipient SMEs from the R&D planning program demonstrated an increase in sales revenue. Also, SMEs that received additional follow-up support after “R&D planning program” increased their sales revenues compared to non-beneficiaries. In summary, the "R&D Planning Program" strengthened SMEs' technological innovation in early stage, and increased their sales over three years. This study improved two points of questionnaire-based methodologies that may involve subjective opinion, by applying evidence/data based approaches. First, this approach established an objective/qualitative evaluation methodology, and secondly improved the limitation of cross-sectional analysis by adopting time series analysis when evaluating the effect of the policy on a beneficiary company over 3 years.


 

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