题 目：Aggregation Issues in Environmentally-Extended Input-Output Modeling and Analysis
主讲人：苏斌博士 （新加坡国立大学）
时 间：2013年4月22日（星期一）8:30-16:15
地 点：主楼241报告厅
主讲人简介：
Dr. Su Bin is Research Fellow at the Energy Studies Institute, National University of Singapore. He obtained his PhD in the Department of Industrial and Systems Engineering at the National University of Singapore. He also received his Master’s degree in Probability Theory and Mathematical Statistics from the Academy of Mathematics and Systems Science at the Chinese Academy of Science (AMSS-CAS), and two Bachelor degrees, a BSc in Statistics and BEng in Electronic Information Engineering, from the University of Science and Technology of China (USTC). Dr. Su is presently Associate Editor of Energy Economics. His main research interest is energy and environmental systems modeling and analysis, with particular emphasis on the application of input-output analysis, statistical analysis and operation research techniques.
内容简介：
With the introduction of the environmentally-extended input-output (EE-IO) framework, traditional economic input-output (I-O) modeling and analysis can be easily used in energy and emission studies. In the last two decades, many studies have been reported using the EE-IO framework to study energy and emission issues. However, these studies rely heavily on the availability of I-O tables and energy/emission data, and as such various aggregation issues are inherent in the results obtained. The presentations will explain three such aggregation problems and discuss related methodological and application issues in EE-IO analysis.