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
한광희 (한신대학교)
저널정보
한일경상학회 한일경상논집 한일경상논집 제98권
발행연도
2023.2
수록면
1 - 20 (20page)

이용수

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

초록· 키워드

오류제보하기
Purpose: This study examines the current situation and characteristics of reshoring, manufacturers return to Japan from their production bases that have been relocated abroad amid increased instability in the global supply chain due to factors such as COVID-19 and Russia’s invasion of Ukraine. This study tried to figure out what kind of reshoring business attraction support policies are being deployed by the central government or local governments in Japan. Also the author tried to derive what implications these support policies have for Korea. Research design, data, and methodology: This study collects and analyzes the contents of previous research papers related to the Japanese government’s support system for attracting reshoring companies, statistical data from research institutes, press releases from media companies, and homepages of local governments regarding reshoring of Japanese manufacturing companies. Results: The Japanese government has executed various support policies at the central and local governments level to turn reshoring manufacturing companies into opportunities to contribute to the country’s economic regeneration and local growth, resulting in more than 500 companies returning to Japan annually in recent years. These results had the effect of creating new jobs in various parts of Japan, and the increase in local governments’ tax revenues led to the revitalization of the local economy. Implications: In order to induce a successful return to Korea for manufacturers wishing to reshor, policies that can provide unconventional incentives such as smart factory construction, R&D support, and corporate tax cuts for reshoring companies should be reviewed and prepared.

목차

등록된 정보가 없습니다.

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