A Study on the Determination of Export Activities of Korean Manufacturing Companies : Focused on R&D Activities


Taeyang Kim, Donghyeop Shin, Vol. 3, No. 4, pp. 1-18, Dec. 2019
10.22662/IJEMR.2019.3.4.001, Full Text:
Keywords: export, R&D activities, logit, Multinomial logit, KIS Data

Abstract

For this study, the 2018 Korean Innovation Survey (KIS) by Science and Technology Policy Institute (STEPI) was used to analyze the impact on the exports of Korean manufacturing companies. The analysis consists of two main themes. One is to look at the factors influencing the decision on the export by using the logit model, and the other is to look at the factors influencing the decision on the export by region in the major overseas markets and its marginal effects by using the multinomial logit model. According to our result, the factors influencing the exports of the companies were classified largely into factors of R&D activities, corporate and industrial characteristics, and government support benefits. As a result of the analysis, for the R&D activity factor, internal R&D activities, R&D investment per capita, and proportion of personnel dedicated to R&D activities were found out to have a statistically significant positive (+) effect on the export activity.


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Cite this article
[APA Style]
Taeyang Kim and Donghyeop Shin (2019). A Study on the Determination of Export Activities of Korean Manufacturing Companies : Focused on R&D Activities. International Journal of Emerging Multidisciplinary Research, 3(4), 1-18. DOI: 10.22662/IJEMR.2019.3.4.001.

[IEEE Style]
T. Kim and D. Shin, "A Study on the Determination of Export Activities of Korean Manufacturing Companies : Focused on R&D Activities," International Journal of Emerging Multidisciplinary Research, vol. 3, no. 4, pp. 1-18, 2019. DOI: 10.22662/IJEMR.2019.3.4.001.

[ACM Style]
Taeyang Kim and Donghyeop Shin. 2019. A Study on the Determination of Export Activities of Korean Manufacturing Companies : Focused on R&D Activities. International Journal of Emerging Multidisciplinary Research, 3, 4, (2019), 1-18. DOI: 10.22662/IJEMR.2019.3.4.001.