School of Business, Shenyang University, Shenyang 110064, China.
School of Information Management, Nanjing University, Nanjing 210023, China.
Int J Environ Res Public Health. 2023 Jan 31;20(3):2603. doi: 10.3390/ijerph20032603.
Similar to the problems surrounding carbon transfers that exist in international trade, there are severe carbon emission headaches in regional industrial systems within countries. It is essential for emission reduction control and regional industrial restructuring to clarify the relationship of carbon emissions flows between industrial sectors and identify key carbon-emitting industrial sectors. Supported by the input-output model (I-O model) and social network analysis (SNA), this research adopts input-output tables (2017), energy balance sheets (2021) and the energy statistics yearbooks (2021) of the three Chinese provinces of Hei-Ji-Liao to construct an Embodied carbon emission transfer network (ECETN) and determine key carbon-emitting industrial sectors with a series of complex network measurement indicators and analysis methods. The key abatement control pathways are obtained based on the flow relationships between the chains in the industrial system. The results demonstrate that the ECETNs in all three provinces of Hei-Ji-Liao are small-world in nature with scale-free characteristics (varying according to the power function). The key carbon emission industry sectors in the three provinces are identified through centrality, influence, aggregation and diffusion, comprising coal mining, the chemical industry, metal products industry, machinery manufacturing and transportation in Liaoning Province; coal mining, non-metal mining, non-metal products, metal processing and the electricity industry in Jilin Province; and agriculture, metal processing and machinery manufacturing in Heilongjiang. Additionally, key emission reduction control pathways in the three provinces are also identified based on embodied carbon emission flow relationships between industry sectors. Following the above findings, corresponding policy recommendations are proposed to tackle the responsibility of carbon reduction among industrial sectors in the province. Moreover, these findings provide some theoretical support and policy considerations for policymakers.
类似于国际贸易中存在的碳转移问题,在国内的区域工业系统中也存在严重的碳排放问题。为了实现减排控制和区域产业结构调整,必须明确工业部门之间的碳排放流动关系,并确定关键的碳排放工业部门。本研究利用投入产出模型(I-O 模型)和社会网络分析(SNA),以中国黑吉辽三省的投入产出表(2017 年)、能源平衡表(2021 年)和能源统计年鉴(2021 年)为基础,构建了一个隐含碳排放转移网络(ECETN),并采用一系列复杂的网络测量指标和分析方法,确定了关键的碳排放工业部门。根据工业系统中链之间的流动关系,得到了关键的减排控制途径。研究结果表明,黑吉辽三省的 ECETN 均具有小世界特性(随幂律变化)。通过中心度、影响力、集聚和扩散,确定了三省的关键碳排放行业,包括辽宁的煤炭开采、化工、金属制品业、机械制造业和交通运输业;吉林的煤炭开采、非金属矿采选业、非金属制品业、金属加工业和电力工业;以及黑龙江的农业、金属加工业和机械制造业。此外,还根据工业部门之间的隐含碳排放流动关系,确定了三省的关键减排控制途径。根据上述发现,提出了相应的政策建议,以解决省内工业部门的碳减排责任问题。此外,这些发现为政策制定者提供了一些理论支持和政策考虑。