소비기준 온실가스 배출량 산정을 위한 고해상도 환경산업연관분석 모델 개발
The importance of consumption-based greenhouse gas (GHG) reduction is gaining recognition as an effective mitigation strategy. To achieve GHG reductions on the consumption side, it is essential to quantify and analyze GHG emissions from consumption in detail. In this study, a high-resolution environ...
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| Published in | 한국기후변화학회지 Vol. 15; no. 51; pp. 735 - 746 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | Korean |
| Published |
한국기후변화학회
01.10.2024
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| Subjects | |
| Online Access | Get full text |
| ISSN | 2093-5919 2586-2782 |
| DOI | 10.15531/KSCCR.2024.15.5.735 |
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| Abstract | The importance of consumption-based greenhouse gas (GHG) reduction is gaining recognition as an effective mitigation strategy. To achieve GHG reductions on the consumption side, it is essential to quantify and analyze GHG emissions from consumption in detail. In this study, a high-resolution environmentally extended input-output analysis (EEIOA) model is developed for consumption-based GHG accounting. The EEIOA, which integrates environmental impacts into input-output tables, is a useful tool for analyzing the direct and indirect emissions of pollutants from industrial activities based on inter-industry relationships. To construct the EEIOA model, we used South Korea's 2020 non-competitive input-output table, energy balance, and national GHG inventory as input data. A high-resolution EEIOA model with 380 sectors was developed to address biases resulting from the aggregation of sectors. This model comprehensively quantifies both direct and indirect GHG emissions arising from four key sources: domestic production, production of imported intermediate products, production of imported final goods, and household energy consumption. Using our EEIOA model, we accounted direct and indirect GHG emissions induced by final demand. The results showed total direct GHG emissions estimated by the EEIOA model were 658.92 MtCO2eq., which is 0.41% (2.70 MtCO2eq.) higher than 656.22 MtCO2eq. reported in the national GHG inventory in 2020. Consumption-based GHG emissions accounted by the EEIOA model were 800.70 MtCO2eq., 22.16% (144.50 MtCO2eq.) higher than the production-based GHG emission reported in the national GHG inventory. This high-resolution EEIOA model is to be applied to estimate household carbon footprints. KCI Citation Count: 0 |
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| AbstractList | The importance of consumption-based greenhouse gas (GHG) reduction is gaining recognition as an effective mitigation strategy. To achieve GHG reductions on the consumption side, it is essential to quantify and analyze GHG emissions from consumption in detail. In this study, a high-resolution environmentally extended input-output analysis (EEIOA) model is developed for consumption-based GHG accounting. The EEIOA, which integrates environmental impacts into input-output tables, is a useful tool for analyzing the direct and indirect emissions of pollutants from industrial activities based on inter-industry relationships. To construct the EEIOA model, we used South Korea's 2020 non-competitive input-output table, energy balance, and national GHG inventory as input data. A high-resolution EEIOA model with 380 sectors was developed to address biases resulting from the aggregation of sectors. This model comprehensively quantifies both direct and indirect GHG emissions arising from four key sources: domestic production, production of imported intermediate products, production of imported final goods, and household energy consumption. Using our EEIOA model, we accounted direct and indirect GHG emissions induced by final demand. The results showed total direct GHG emissions estimated by the EEIOA model were 658.92 MtCO2eq., which is 0.41% (2.70 MtCO2eq.) higher than 656.22 MtCO2eq. reported in the national GHG inventory in 2020. Consumption-based GHG emissions accounted by the EEIOA model were 800.70 MtCO2eq., 22.16% (144.50 MtCO2eq.) higher than the production-based GHG emission reported in the national GHG inventory. This high-resolution EEIOA model is to be applied to estimate household carbon footprints. KCI Citation Count: 0 |
| Author | 권태현(Kwon, Tae Hyun) 이성규(Lee, Sunggyu) 전의찬(Jeon, Eui-Chan) 이주희(Lee, Joohee) |
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| Title | 소비기준 온실가스 배출량 산정을 위한 고해상도 환경산업연관분석 모델 개발 |
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