This study empirically investigates how knowledge assets affect the relationship between exports and productivity using panel data for Korean manufacturing firms. We establish a dynamic panel vector autoregressive model in first difference by considering the results of various panel framework tests, and employ a system generalized method of moments estimator to test the relationship between the study variables. The findings present convincing evidence of a learning-by-exporting effect. Moreover, firms’ labor and total factor productivity are shown to be significantly positively affected by their knowledge assets and organizational slack. Industry competition contributes to firms’ productivity enhancement as an external force, but government support has a significantly negative effect on firm productivity. This study shows the importance of continuously enhancing productivity by demonstrating that firms’ current productivity level is influenced by that of the previous period. We outline the implications of the study’s results.
목차
ABSTRACT Ⅰ. Introduction Ⅱ. Model specification Ⅲ. Data sources and measurement Ⅳ. Empirical analysis Ⅴ. Discussion and Conclusions References
키워드
knowledge assetlearning-by-exporting effectdynamic panel approachmanufacturing industry
저자
Jin Man Yoo [ Research Professor, Science & Technology Knowledge Research Institute, Chungnam National University ]
Hong Chen [ Doctor Candidate, Department of International Commerce & Business, Konkuk University ]
Corresponding Author
'KU 중국연구원'은 건국대학교만의 차별화된 가치를 구현하기 위해 건국대의 교시(校是)인 성(誠)·신(信)·의(義)를 바탕으로 인본(人本)·소통(疏通)·통섭(統攝)에 초점을 둔 중국학 연구를 지향하고 있습니다. 또한 시대적 당위성을 반영한 실용 중심의 연구와 학문 후속세대 양성에 기여하는 국제적 연구센터로 발돋음하는 연구기관 입니다.