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논문 기본 정보

자료유형
학술저널
저자정보
박순철 (한국생산기술연구원) 오채운 (녹색기술센터)
저널정보
한국기후변화학회 한국기후변화학회지 Journal of Climate Change Research Vol.11 No.3
발행연도
2020.6
수록면
163 - 176 (14page)
DOI
10.15531/ksccr.2020.11.3.163

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초록· 키워드

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In the negotiation to design the method of corresponding adjustment in the issuance, transfer, and acquisition of internationally transferred mitigation outcomes (ITMOs) between or amongst countries under article 6 of the Paris agreement, Korea based its position on merits and demerits of four major options of i) trajectory method, ii) cumulative method, iii) averaging method, and iv) vintage method. However, in the choice of corresponding adjustment method, the effect of domestic conditions of the Emissions Trading Scheme (ETS) has not been substantially considered. Therefore, this paper attempts to calculate and compare the required amounts of ITMOs of four corresponding adjustment methods in accordance with master plan for the 3rd Emission Trading Scheme by considering two domestic conditions of i) ITMOs are to be acknowledged as external reduction of the Korean ETS and ii) ITMOs, once acknowledged under the Korean ETS, are used in fulfilling the NDC mitigation target. This analysis used a series of formulas for quantitative calculation for a respective corresponding adjustment method. In the second place, qualitative analysis is also considered. Quantitative analysis showed that the trajectory method can be preferable under operation of ETS in association with the nationally determined contribution (NDC). However, the trajectory method has the problem of converting NDC from a single-year target to a multi-year target, and the required amount of ITMOs can differ depending on type of trajectory drawn. Meanwhile, the cumulative method and the vintage method do not necessitate NDC conversion, and they are cost effective due to the smaller amount of ITMOs than expected for NDC usage. Yet, in consideration of domestic ETS, both methods can degrade environmental integrity due to the corresponding adjust made all at once in the singular year of 2030. Lastly, an averaging method is not cost effective because it requires more ITMOs than the expected amount for NDC achievement.

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ABSTRACT
1. 서론
2. 배경
3. 분석 모형과 자료
4. 분석 결과
5. 결론 및 시사점
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UCI(KEPA) : I410-ECN-0101-2020-453-000890278