인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
학술저널
Full-text AI
오류 신고하기해당 페이지 내 제목·저자·목차·페이지정보가 잘못된 경우 알려주세요!
피인용 0
초록·키워드
In Korea, the bulk of investment in research and development within the renewable energy sector is channeled towards technologies which are close to commercialization. In addition, the majority of financial support from government agencies reflects an investment in firms, rather than universities or small firms. However, the performance, in terms of market share and price competitiveness, of Korean renewable energy technology is still very low in the overseas market. There remains a greater amount of R&D investment is received by large firms rather than smaller firms. However, it has not been shown that the R&D efficiency of larger firms is greater than that of smaller firms.
The paper estimates that a productivity of 1340 R&D projects from 2008 to 2012 in renewable energy technology by performers and by technical progress phase using output-oriented BCC modelling in Data Envelopment Analysis (DEA). The results reveal that the efficiency of basic R&D research is higher in universities and institutes, while the efficiency achieved in applied research is higher within larger firms. However, the efficiencies achieved in development research is low in general, regardless of whether the R&D is carried out in a large firm, smaller form or university.
The paper estimates that a productivity of 1340 R&D projects from 2008 to 2012 in renewable energy technology by performers and by technical progress phase using output-oriented BCC modelling in Data Envelopment Analysis (DEA). The results reveal that the efficiency of basic R&D research is higher in universities and institutes, while the efficiency achieved in applied research is higher within larger firms. However, the efficiencies achieved in development research is low in general, regardless of whether the R&D is carried out in a large firm, smaller form or university.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
UCI(KEPA) : I410-ECN-0101-2016-530-002233747
