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

논문 기본 정보

자료유형
학술저널
저자정보
Yinping GAO (Shanghai Maritime University) Daifang CHANG (Shanghai Maritime University) Ting FANG (Shanghai Maritime University) Tian LUO (Shanghai Maritime University)
저널정보
한국해운물류학회 The Asian Journal of Shipping and Logistics The Asian Journal of Shipping and Logistics Vol.34 No.1
발행연도
2018.1
수록면
27 - 32 (6page)

이용수

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

초록· 키워드

오류제보하기
As an emerging producer services industry, the logistics industry is the third-largest industry in China. The rapid development of the logistics industry accelerates the optimization and adjustment of the industrial structure, advances the transformation of economic growth, and thus promotes a rapid economic development. It is essential to understand the correlation between the logistics industry and other industries, for the purpose of facilitating other industries by logistics industry. Based on the current status of the logistics industry and the general industrial structure, several concerns about the development of the logistics industry and other industries have been addressed in this paper. A qualitative analysis between the logistics industry and industrial structure has been presented. Furthermore, the development of the logistics industry was quantified with the regional entropy coefficient. A linear regression model of the regional entropy coefficient and other industries data was established to analyze the correlation between logistics and the industrial structure. Then, the gray correlation was analyzed to further verify the correlation degree. The correlation degrees between logistics and industries in Pizhou were (sorted from high to low): primary industry, tertiary industry, and secondary industry. Combining development issues and the obtained correlation, several feasible suggestions are presented that promote the logistics industry on a county scale.

목차

등록된 정보가 없습니다.

참고문헌 (12)

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