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논문검색

기술혁신활동의 수출효과 : 분위회귀 분석방법에 의한 실증분석

원문정보

Export Effects of Innovation Activities : An Empirical Analysis by Quantile Regression Method

신범철

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초록

영어

This paper empirically examines the effects of innovation activities and firm size on export shares for Korea's listed and registered manufacturing companies using financial data over the period 2000-2016. In estimating quantile regression models for export performance, it controls for sample selection problem caused by distributional heterogeneity of exports by employing the quantile estimation procedure. Empirical results confirm that for all firms, export shares are positively associated with innovation actvities on average, implying that the larger the R&D investment is, the higher the export share is. However, quantile regression results show very different form those of traditional regression methods. The export effects of innovation activities are the largest at 50 percent quantile in the conditional distribution of exporting; the largest at the lower end of the export distribution for the small and medium sized firms, but at the higher end for the large firms. This implies that government R&D subsidy would have a stronger effect on exports at the lower quantile of the distribution for small and medium sized firms. This confirms that R&D investment should be a highly significant factor for enhancement of competitiveness in exporting markets and essential sources of economic growth. Second, estimated results show that firm size can have positive effect on export, but they can not support the hypothesis of inverse U-shaped relationship between firm size and export. The quantile regression results show that firm size effects should have no significant patterns for small and medium sized firms but should have the U-shaped pattern for large firms.

목차

Ⅰ. 서론
Ⅱ. 기술혁신의 수출효과에 관한 선행연구 검토
Ⅲ. 분석모형과 추정방법
Ⅳ. 자료 및 실증결과
Ⅴ. 요약 및 시사점
참고문헌
Abstract

저자정보

  • 신범철 Beom Cheol Cin. 경기대학교 경제학부

참고문헌

자료제공 : 네이버학술정보

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