报告题目：基于投入产出和结构分解框架的整体隐含能源/排放强度及其驱动因素分析（Aggregate Embodied Energy/Emission Intensities and Their Driving Forces using Input-Output and Structural Decomposition Frameworks）
报告时间：2019年7月11日(周四)下午2:30
地 点：文理楼580
讲坛嘉宾：苏斌 博士
嘉宾简介：
苏斌 (Dr. Su Bin) 是新加坡国立大学能源研究所高级研究员，能源与环境研究中心副主任，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60多篇，研究工作被引用3000多次，入选2018年科睿唯安(Clarivate Analytics)全球高被引科学家(交叉领域Top 1%)。现任Energy Economics (SSCI) 期刊副主编和客座主编，Applied Energy (SCI) 期刊客座主编，Journal of Cleaner Production (SCI) 期刊客座主编，Reports on Economics and Finance期刊编委，《环境经济研究》和《中国石油大学学报(社科版)》期刊编委，以及60多个国际期刊审稿人。在新加坡主持和参与二十多项能源环境相关的政府研究项目，获得新加坡环境与水资源部、贸易与工业部、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。
内容简介：
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’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.
经济管理学院
科技处
2019年7月8日
