The impact of technology learning and spillovers between emission-intensive industries on climate policy performance based on an industrial energy system model
2022 · Energy Strategy Reviews
저자
Hwarang Lee, Hansung Kim, Dong Gu Choi, Yoon‐Mo Koo
연구주제
Climate Change Policy and Economics · Energy, Environment, Economic Growth
NTIS 과학기술표준분류
에너지/자원만에너지·환경·원자력 확장
가장 가까운 분류(정보/통신 > 소프트웨어 > 인터넷 S/W)가 에너지·환경·원자력 확장 범위 밖이다.
AI 연구 키워드·방법
climate policy performance industrial energy system inter industry technology spillover 기술 학습 효과
키워드 (OpenAlex)
technological learning spillover effects inter-industry spillovers climate policy industrial energy systems sustainable energy transition industrial emissions technology diffusion
초록
Sustainable energy transition is garnering attention as a method to achieve emission reduction targets. In this transition, technology learning and spillovers, which are representative sources of technological change, have significant implications. Most previous studies focused on inter-country and inter-region spillovers, although spillovers can be observed at the various levels. This study develops the industrial energy system model, which explores learning and inter-industry spillovers at the technology level, and investigates learning and spillover effects on climate policy performance. The model reflects spillovers between industrial common technologies based on an iterative approach and describes the effects of learning and spillovers on technology characteristics, such as technology efficiency. The results describe that not only the speed of learning but also the existence of spil…
이 논문을 지원한 국가R&D 과제 (NTIS 성과)
| 연도 | 과제 | 부처 | 사업 | 수행기관 | NTIS 분류(1순위) |
|---|---|---|---|---|---|
| 2021 | 수송부문 신기술의 지속가능성을 평가하기 위한 통합모형 구축 연구 | 과학기술정보통신부 | 개인기초연구(과기정통부)(R&D) | 서울대학 | 환경 > 환경예측/감시/평가에너지 외 |
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Climate Change Policy and Economics