• The transmission mechanism of the manufacturing industry production activities to carbon emissions from the input-output subsystem perspective: A case of China
    編號:224 稿件編號:364 訪問權限:僅限參會人 更新:2022-05-13 16:27:06 瀏覽:492次 口頭報告

    報告開始:2022年05月27日 11:40 (Asia/Shanghai)

    報告時間:20min

    所在會議:[S3] Energy and Sustainable Green Development [S3-2.3] Energy and Sustainable Green Development-2.3

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    摘要
    Manufacturing is the industry in China that consumes the most energy and emits the most carbon, of which emission reduction effect largely determines the process of achieving carbon peaking and carbon neutrality. This study analyzes the direct carbon emissions and carbon emissions from final demand in China’s manufacturing sector, and decomposes the carbon emissions from final demand into six independent parts using input-output analysis. Furthermore, this study analyzes the carbon emission path in manufacturing production activities, as well as the sensitivity analysis and scenario prediction of the factors impacting manufacturing carbon emissions. The results show that the direct carbon emissions and carbon emissions from final demand were respectively about 4.61 billion tons and 3.50 billion tons in 2018. Indirect spillovers and direct spillovers account respectively for 62.1% and 23.1% of the carbon emissions from final demand in the manufacturing industry. The direction and quantity of carbon emission transfer from various energy sources may be properly located using the manufacturing industry’s carbon emission transfer route map. The CR scenario shows that the manufacturing industry will reach the peak of carbon from 2025 to 2030, with the corresponding peak between 4.02-4.06 billion tons, and carbon emissions in 2060 will be reduced by 40% compared with 2018.
    關鍵字
    Manufacturing industry; Input-output analysis; Carbon emission decomposition; Scenario prediction
    報告人
    Jixin WEN
    China University of Mining and Technology

    稿件作者
    Jixin Wen China University of Mining and Technology
    Manzhi Liu China University of Mining and Technology
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