报告题目：Time Disaggregation in Input-Output Analysis of Embodied Energy and Emissions

报告所属学科：管理科学与工程

报告人：苏斌（新加坡国立大学）

报告时间：2022年9月4日 19:00-21:00

报告地点：腾讯会议671-223-083

报告摘要：

Input-output (I-O) analysis has been widely used in national energy and energy-related emission studies. These studies are generally conducted using annual data. In a growing number of countries, significant variations in renewable energy supply and in final demands of goods and services are observed over time within a year. These temporal variations cannot be captured in I-O analysis using annual data. To investigate such temporal dynamics, we propose an I-O analysis framework that uses monthly data. Further to that, the drivers in embodiments and aggregate embodied intensity (AEI) indicators are studied via Structural Decomposition Analysis (SDA). Additive SDA and multiplicative SDA are applied to reveal the temporal dynamics associated with energy and emission embodiments and AEI indicators, respectively. An application study using China’s 2018 datasets show the importance of temporal dynamics in studying its embodiments and AEI indicators, with drivers of their changes show significant variations over months. It is shown that increased data granularity reveals useful information which would otherwise undetected if annual data are employed. Implications of the findings on future research are discussed.

报告人简介：

苏斌 (Dr. Su Bin) 是新加坡国立大学能源研究所资深研究员，能源与环境研究中心主任，能源系统建模团队负责人，同时担任新加坡节能和低碳路径发展研究项目总负责人。主要研究领域为能源和环境经济与政策、能源与气候变化、能源环境系统建模和分析，在能源和环境相关的国际期刊上已发表SCI/SSCI论文120多篇，其中ESI高被引文章30多篇，研究工作被引用8000多次，入选科睿唯安2018-2021年全球高被引科学家，斯坦福大学研究团队发布的2020-2021年全球能源领域Top 2%科学家，全球知名经济学研究数据库RePEC/IDEAS发布的2021年全球Top 1%经济学家。现任Energy Economics (SSCI) 期刊副主编和客座主编，多个国际期刊的客座主编、副主编和编委，以及100多个国际期刊审稿人。在新加坡主持和参与三十多项能源环境相关的政府研究项目，获得新加坡贸易与工业部、环境与水资源部、外交部、经济发展局、国家环境署、能源市场管理局、海运和港口管理局、气候变化秘书处、国家研究基金会等政府部门资金支持。