메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
Kyong Han Lee (Korea Maritime Institute) Sang-Yoon Lee (Inha University)
저널정보
인하대학교 정석물류통상연구원 Journal of International Logistics and Trade Journal of International Logistics and Trade Vol.14 No.3
발행연도
2016.12
수록면
211 - 218 (8page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
The purpose of this study is to empirically analyze the impact of logistics efficiency on trade volume growth, and to examine the effects of lower tariffs resulting from free trade agreements. In order to measure the impact of logistics efficiency on trade volume growth, the export and import trade volume among 53 countries was introduced as the dependent variable. Macroeconomic indicators including annual average tariff rate, logistics efficiency indicators for port, air, railroad, road and container vessel connectivity, as well as dummy variables such as whether a free trade agreement was signed, were introduced as the explanatory variables. Bilateral panel data between trading nations was used to estimate the gravity panel model, and analysis followed the categorization: 1) separate inputs of the five logistics efficiency variables and 2) one aggregated input of the five variables as a single indicator. The analysis found that logistics efficiency had a statistically significant impact on bilateral trade volume growth, while the impact of lowering tariff rates on increasing trade was insignificant. In addition, logistics efficiency was found to have a greater impact on increasing trade volume than free trade agreements. These results imply that trade can be promoted more effectively by establishing and efficiently operating logistics-related infrastructure rather than traditional methods of reducing trade barriers such as lowering tariffs and signing free trade agreements.

목차

ABSTRACT
1. Introduction
2. Literature review
3. Research model and data collection
4. Empirical analysis process and model specification
5. Empirical analysis results
6. Conclusion
References

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2017-324-001998681