【主 题】 Exploring the Direct and Indirect Rebound Effect at Household Level: a Provincial Perspective of China
【报告人】李科（湖南师范大学 数学与计算机科学学院 教授）
As an important part of total energy consumption in China, household energy consumption has a great potential in energy conservation and emissions abatement. However, the existence of the energy rebound effect may partially even totally offset this potential. Therefore, we manually compiled the provincial energy input-output table of China. Then, adopting the method of input-output analysis and the re-spending model, we conduct a detailed analysis of the direct and indirect energy rebound effect at the household level in China. The results show that an average of 22.92% economic sectors in China may lead to the backfire effect. There are significant differences in risk vulnerability regarding direct and indirect energy rebound effect among different regions, and Xinjiang is the most vulnerable province as 88.46% of its economic sectors can lead to a backfire effect. “Processing of Petroleum, Coking and Nuclear Fuel” is the most dangerous economic sector which has the potential to cause a backfire effect in fourteen provinces. In addition, the Chinese government and its provincial government should take full account of the regional differences when formulating energy policies to alleviate the pressure for energy conservation and carbon emission reduction.
李科，男，数量经济学博士，湖南师范大学数学与计算机科学学院教授，厦门大学能源经济与能源政策协同创新中心（兼职）研究员、长沙理工大学中国电力经济研究中心（兼职）研究员，研究领域为能源消费与低碳经济、电力经济、计量经济理论与方法。在China Economic Review、Energy Economics、Energy Policy、Applied Energy、Energy、Renewable & Sustainable Energy Reviews等SCI/SSCI检索国际期刊发表论文20多篇；在《系统工程理论与实践》《数理统计与管理》《中国软科学》等国内期刊独立发表论文多篇；担任China Economic Review等期刊匿名审稿专家。