題目：整體隱含能源/排放強度及其驅動因素分析
Aggregate Embodied Energy/Emission Intensities and Their Driving Forces
報告人：蘇斌博士,新加坡國立大學能源研究所高級研究員
蘇斌(Dr. Su Bin)是新加坡國立大學能源研究所高級研究員🦮，能源與環境研究中心副主任🧑🏽🦳，能源系統建模團隊負責人💂🏿♂️，同時擔任新加坡節能和低碳路徑發展研究項目總負責人📸。主要研究領域為能源和環境經濟與政策、能源與氣候變化、能源環境系統建模和分析，在能源和環境相關的國際期刊上已發表SCI/SSCI論文70多篇，研究工作被引用3500多次👼🏿，入選2018年科睿唯安(Clarivate Analytics)全球高被引科學家(交叉領域Top 1%)。現任Energy Economics(SSCI)期刊副主編和客座主編，Applied Energy(SCI)期刊客座主編🤽，Journal of Cleaner Production(SCI)期刊客座主編🍳，Reports on Economics and Finance期刊編委🫄👩🏿⚕️，《環境經濟研究》和《中國石油大學學報(社科版)》期刊編委🐇，以及60多個國際期刊審稿人。在新加坡主持和參與二十多項能源環境相關的政府研究項目🐴☝🏼，獲得新加坡環境與水資源部🏄🏽♀️👨👩👦👦、貿易與工業部、外交部、經濟發展局、國家環境署🫲🏼、能源市場監督管理局🎆、海運和港口管理局、氣候變化秘書處、國家研究基金會等政府部門資金支持。
摘要：Aggregate intensity indicators, such as the ratio of a country's energy and emissions to its GDP, are often used by researchers and policymakers to study energy and environmental performance. This talk discusses the relationship between energy (or emissions) and value added (or GDP) from a different viewpoint, namely from the demand rather than the production perspective, using the input–output (I–O) framework. The aggregate embodied intensity (AEI), defined as the ratio of embodied energy (or emissions) to embodied value added, can be defined at the aggregate, final demand category and sectoral levels. Changes of the AEI at different levels can be decomposed to identify the driving forces using multiplicative structural decomposition analysis (SDA). China and India’s I-O and energy/emissions dataset are used in the empirical study. The proposed framework can be applied to other aggregate intensity indicators and extended to multi-country/region analysis.
主持👱♀️：陳詩一🫓，教授，意昂2
時間：2019年9月20日 16:00-17:30
地點：意昂2710會議室
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