Clustering by Linguistic Characteristics and International Trade

• 영문명: Clustering by Linguistic Characteristics and International Trade
• 발행기관: 한국무역연구원
• 저자명: Alexandre Repkinea Seung-Hoon Songb
• 간행물 정보: 『무역연구』제11권 제6호, 121~136쪽, 전체 16쪽
• 주제분류: 경제경영 > 무역학
• 파일형태: PDF
• 발행일자: 2015.12.31

영문 초록

This study focuses on the effects of similar language structures on bilateral trade between countries. While it has been established in the literature that countries sharing the same language trade more, we believe this is just a sub-case of a more general phenomenon that has to do with the fact that trade barriers are significantly reduced in case the negotiating parties share the same way of thinking. This in turn, we believe, is strongly linked to the language structure. By using a comprehensive database of language structures and bilateral trade flows, we confirm our hypothesis by finding that linguistic structural similarity is producing a strong effect on the international trade flows, which is independent of the extent to which the two trading partners’ principal languages are mutually intelligible. This study emphasizes the need for more research linking the stock of knowledge accumulated by the science of psychology to economics, and the often overlooked importance of insights that can be suggested by cluster analysis.

목차

Abstract

Ⅰ. Introduction

Ⅱ. Why Does Linguistic Clustering Matter?

Ⅲ. Data Sources and Summary

Ⅳ. Using Cluster Analysis to Group Countries According to Linguistic Dimensions

Ⅴ. Empirical Methodology

Ⅵ. Empirical Results

Ⅶ. Conclusion

References

키워드

Cluster Analysis International Trade Language Structures