一、报告题目

Regional development and carbon emissions in China

二、报告人

郑嘉俐，中国科学院数学与系统科学研究院

三、报告时间

2019年7月22日 （周一）上午10:00-11:30

四、报告地点

知新楼B321

五、报告人简介

郑嘉俐，中国科学院数学与系统科学研究院管理科学与工程博士在读，于伦敦大学学院(UCL)访问一年，期间获荣誉研究助理称号。在国际国内期刊发表10余篇论文。参与多项重大项目，作为主要作者之一撰写2份重要政策报告，作为共同作者合著6本专著。研究领域包括气候变化经济学、能源政策、宏观经济学与创新。斩获多项重要国际奖项及荣誉，获得2019年丹·大卫奖学金以表彰其在气候变化经济学研究中取得的学术成果和社会影响力，及阿美奖学金、CSC-IBM联合奖学金等。

六、 报告摘要

China announced at the Paris Climate Change Conference in 2015 that the country would reach peak carbon emissions around 2030. Since then, widespread attention has been devoted to determining when and how this goal will be achieved. This study aims to explore the role of China’s changing regional development patterns in the achievement of this goal. This study uses the logarithmic mean Divisia index (LMDI) to estimate seven socioeconomic drivers of the changes in CO2 emissions in China since 2000. The results show that China’s carbon emissions have plateaued since 2012 mainly because of energy efficiency gains and structural upgrading (i.e., industrial structure, energy mix and regional structure). Regional structure, measured by provincial economic growth shares, has drastically reduced CO2 emissions since 2012. The effects of these drivers on emissions changes varied across regions due to their different regional development patterns. Industrial structure and energy mix resulted in emissions growth in some regions, but these two drivers led to emissions reduction at the national level. For example, industrial structure reduced China’s CO2 emissions by 1.0% from 2013-2016; however, it increased CO2 emissions in the Northeast and Northwest regions by 1.7% and 0.9%, respectively. By studying China’s plateauing CO2 emissions in the new normal stage at the regional level, it is recommended that regions cooperate to improve development patterns.

七、主办单位

山东大学经济学院