Climate Change Research ›› 2023, Vol. 19 ›› Issue (2): 238-248.doi: 10.12006/j.issn.1673-1719.2022.178

• Greenhouse Gas Emissions • Previous Articles     Next Articles

Allocation of carbon dioxide emission total targets in China province based on the dynamic improved equal proportion distribution

WANG Rui1(), ZHANG He1(), ZHANG Yun2, HUANG Ya-Zhe1   

  1. 1 School of Architecture, Tianjin University, Tianjin 300072, China
    2 Tianjin General Institute of Urban Planning and Design, Tianjin 300190, China
  • Received:2022-07-26 Revised:2022-09-19 Online:2023-03-30 Published:2022-11-17


Based on the original improved equal proportion distribution, the dynamic improvement was carried out to meet the needs of the decomposition of the total provincial CO2 emission target to the cities. This method was applied to the Hebei province case. The results show that high-carbon cities in traditional industries such as coal and steel should strictly control the growth of carbon emissions, and only obtain a small amount of CO2 relative surplus space; The cities south of Beijing and Tianjin would obtain more CO2 relative surplus space than other cities. The construction of Xiongan New Area also needs a certain space for CO2 emission increment. According to the judgment result of carbon peaking control time, Tangshan and Handan should reach the peak before 2025; most cities still reach the peak on time according to 2030, which can meet the overall peaking demand of Hebei province before 2030. Based on the comparative analysis of the old and new methods, the new method is based on fairness and efficiency, and development trend of the cities and carbon control policy orientation are taken into account, which is different from the original method’s decomposition logic. This method can be further optimized to adapt to the decomposition needs of carbon emission targets in provinces with different development characteristics.

Key words: Carbon peaking, Allocation of total carbon dioxide emission, Dynamic improved equal proportion distribution, Prefecture-level city

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