文献类型：会议论文

英文题名：Research on Decomposition and Periodic Fluctuation of Influencing Factors of China's Carbon Emissions Based on Data Mining Technology

作者：Chuanpeng, Cheng[1]

第一作者：Chuanpeng, Cheng

通讯作者：Chuanpeng, C.[1]

机构：[1] Henan University of Economics and Law, School of Finance, Zheng Zhou, 450046, China

第一机构：河南财经政法大学金融学院

会议论文集：Proceedings - 2020 2nd International Conference on Information Technology and Computer Application, ITCA 2020

会议日期：December 18, 2020 - December 20, 2020

会议地点：Guangzhou, China

语种：英文

外文关键词：Carbon - Carbon dioxide - Climate change - Economics - Emission control - Energy utilization - Environmental management - Growth rate

摘要：Addressing climate change has become a global environmental challenge, and reducing CO2 emissions and promoting low-carbon economy have become the consensus of all countries in the world. Since the reform and opening up, the rapid development of China's economy has promoted the rapid growth of energy consumption, and the growth rate of CO2 emissions has been in the forefront of the world. While maintaining economic stability in China, there are also complicated problems such as dual economic structure, globalization and system reform. Under the background of increasing pressure to cope with climate change, how to find a low-carbon energy development path on the premise of maintaining sufficient development space is a great challenge for China for a long time to come. Under this background, it is of great significance to analyze the influencing factors of China's energy consumption carbon emissions. Based on this, this paper uses spatial data mining technology to reveal the evolution characteristics of spatial and temporal pattern of China's energy carbon emission intensity, and discusses its main influencing factors and periodic fluctuation characteristics, aiming at providing scientific basis for the government to formulate differentiated carbon emission reduction policies and develop low-carbon economy. ? 2020 IEEE.