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
James William Potter (고려대학교)
저널정보
국제개발협력학회 국제개발협력연구 국제개발협력연구 제11권 제4호
발행연도
2019.1
수록면
21 - 36 (16page)

이용수

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

초록· 키워드

오류제보하기
Purpose: Practitioners are often tempted to accelerate the policy transfer process by taking shortcuts on the basis of reductive comparisons between donor and recipient. This, however, often hinders the effectiveness of policy transfer. To improve the policy transfer process and thereby the policies implemented, this paper introduces an actor-network theoretical approach to understanding policy transfer. By employing Korea’s Knowledge Sharing Program (KSP) as a case, the paper also seeks to increase the effectiveness of policy transfer from Korea to its development partners. Originality: This paper contributes to the literature on policy transfer by introducing and adapting the Translation model of scientific knowledge production to policy transfer. This model allows for an enriched understanding of knowledge production in the policy transfer process and introduces the notion of “slow policy”. Methodology: The paper adopts a multimethodological approach. It first draws on World Development Indicators to compare Korea’s historical conditions with its development partners’ contemporary conditions. It then employs the science and technology studies literature to develop an improved model of policy transfer. Finally, existing literature is employed to apply this model to the KSP. Result: This article establishes first that Korea in its development decades was substantially different from its priority development partners today. It then introduces “slow policy”, which entails deeper engagement with recipients in formulating problems, conducting analyses, and developing more robust policies. Conclusion and Implication: The slow policy model suggests that time constraints inhibit the KSP’s capacity for producing co-learning outcomes and for developing truly custom-tailored policy recommendations. Slowing down implementation and extending personnel exchanges would produce deeper mutual learning, improve policy recommendations and implementation, and cultivate a new generation of experts.

목차

등록된 정보가 없습니다.

참고문헌 (38)

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