Research on Provincial Differences in Thermal Carbon Emission Reduction in China Based on Quadrant Method and Cluster Analysis

DOI: https://doi.org/10.62517/jse.202411403

Author(s)

Jiarui Huang, Ying He*, Zhirong Wang

Affiliation(s)

College of Environmental Science and Safety Engineering, Tianjin University of Technology, Tianjin, China * Corresponding Author.

Abstract

As a major carbon emitter, China's thermal industry is developing rapidly. Due to the significant regional and development differences among provinces and cities in China, it is particularly important to classify provinces and formulate effective emission reduction strategies based on local conditions. This article measures the thermal carbon emissions of 30 provinces in China and selects five main factors to conduct regional classification analysis using the quadrant method and clustering method. The results show that: first, thermal carbon emissions in most provinces and cities are growing rapidly, but there are significant differences among provinces, with only Shanghai experiencing negative growth. Second, provinces and cities in the first quadrant of the quadrant method need to control all indicators, while those in the second and fourth quadrants need to control a single indicator. Third, the four categories of regions output by the cluster analysis have their own characteristics, and different countermeasures should be taken for different regions to reduce emissions. The research results can provide suitable suggestions for the formulation of thermal carbon emission reduction plans in different provinces in China, helping to achieve the "dual carbon target".

Keywords

Quadrant Method; Cluster Analysis; Thermal Industry; Carbon Peaking; Carbon Neutrality

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