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자료유형
학술저널
저자정보
손인성 (에너지경제연구원)
저널정보
한국기후변화학회 한국기후변화학회지 Journal of Climate Change Research Vol.12 No.5-2
발행연도
2021.10
수록면
591 - 600 (10page)
DOI
10.15531/ksccr.2021.12.5.591

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초록· 키워드

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Korea plans to use the international carbon market to achieve its goal of reducing greenhouse gases (GHGs) by 2030. To ensure overseas GHG mitigation projects are cost-effective, an analysis of the costs of such projects is needed. Thus, this study estimated the abatement cost of GHGs in Vietnam using a methodology that estimated the abatement cost of GHGs from investment analysis data for CDM projects. Estimates showed that the average marginal abatement cost for the projects analyzed was 10.26$/tCO₂eq. (as of 2020). By project type, the average marginal abatement cost of methane avoidance projects was the lowest, followed by small hydro power, biomass, efficiency improvement, landfill gas, and wind power projects. Estimated marginal abatement costs were significantly lower than the estimated total cost per reduction performance considering the total cost of the project and excluding benefits such as selling electricity or reduced fuel costs. In particular, small hydro power and biomass projects had the greatest benefits beyond emission reduction sales.
If carbon prices are low early in Vietnam"s implementation of GHG reduction, methane recovery, hydro power generation, landfill gas, and biomass projects with low marginal abatement costs will be implemented first. In particular, landfill gas projects are expected to be implemented early due to their low marginal abatement costs and large amount of GHG reductions. On the other hand, if carbon prices rise due to stricter regulations on GHG reduction, investments are expected in efficiency improvement projects and wind power projects with relatively high marginal abatement costs.
We sought to determine whether there was an economy of scale in reducing GHGs and if there was a reduction in marginal cost over time, but this could not be confirmed due to the small number of samples and short time series.

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ABSTRACT
1. 서론
2. 분석 방법 및 대상
3. 분석 결과
4. 결론 및 토의
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