摘要
基于2017年全国42个行业投入产出表和2017年能源消费量为数据,运用《综合能耗计算通则》计算出11个产业群的碳排放量、碳排放强度,运用假设抽取法分析产业群间的总碳关联度、前向碳关联和后向碳关联,并将关联效应分解为内部效应、混合效应、净后向效应、净前向效应和净转移。结果表明:石化金属制造业和电水燃气生产供应业的碳排放总量和碳排放强度最大,净输出碳排放严重;建筑业、机械设备制造业的净吸收碳排放较多。目前,我国能源消费结构失衡,煤炭、石油等能源使用率依然较高。虽然国家近年大力发展清洁能源,但始终占比不高,利用率较低。因此,必须优化国家能源消费结构,提升一次性能源使用效率,提高清洁能源的消费占比,减缓我国二氧化碳的排放量。
Based on the input-output table of 42 industries across the country in 2017 and the energy consumption in 2017 as data, the General Principles of Comprehensive Energy Consumption Calculation was used to calculate the carbon emissions and carbon emissions intensity of 11 industrial groups. Hypothetical extraction method(HEM) was used to analyze the total carbon correlation, forward carbon correlation, and backward carbon correlation among industry groups. And the the correlation effect was divided into internal effect, mixed effect, net backward effect, net forward effect and net transfer. The results show that the total carbon emissions and carbon emissions intensity of petrochemical metal manufacturing, as well as electricity, water and gas production and supply industries are the largest, and the net output carbon emissions are serious. The net carbon emissions of the construction industry and the mechanical equipment manufacturing industry are large. At present, China’s energy consumption structure is unreasonable, and the utilization rate of coal, oil and other energy is still high. Although China has vigorously developed clean energy in recent years, it has always accounted for a low proportion and low utilization rate. Therefore, it must need to optimize the national energy consumption structure, improve the utilization efficiency of primary energy, and increase the consumption proportion of clean energy, so as to slow down the carbon dioxide emissions in China.
作者
黎江韵
LI Jiangyun(Institute of Sustainable Development,Macao University of Science and Technology,Macao 999078,China)
出处
《矿业研究与开发》
CAS
北大核心
2022年第1期150-155,共6页
Mining Research and Development
基金
南方海洋科学与工程广东实验室(珠海)2020年度项目(SML2020SP002)
澳门科学技术发展基金项目(0080/2018/A2)。
关键词
假设抽取法
碳排放
碳关联
Hypothetical extraction method
Carbon emissions
Carbon correlation
