Research on Carbon Emissions of Industrial Clusters in China

Abstract

At present, the global warming problem is becoming more and more serious, and effective carbon emission reduction is urgent, and the cooperation between industries within a specific supply chain can provide a new method to reduce emissions. Whith 2017 year as the research period, 30 industrial sectors in China as the research object, using the new method proposed by Kanemoto et al. to identify high carbon emission industrial clusters. Combined with modified normalized cut function, we find out high carbon emission industrial clusters among 30 industrial sectors from the supply chain perspective with multiple clustering methods, and based on this, the relative position of each industrial sector in the industrial chain is studied through minimum spanning tree to find the key industrial chain. The results show that the clustering effect performs best at k=7, where cluster 1 accounts for 89% of the total carbon emissions of all clusters, indicating that this industrial cluster has more potential for emission reduction compared with other industrial clusters and is the focus of future emission reduction efforts, while the upstream and downstream industrial chains with the construction industry as the core are the key industrial chains of this cluster as shown by the minimum spanning tree.