Analysis of thestructure and evolution of the carbon emission efficiency correlation network among Chinese Provinces
GE Xiao
DU Ruijin
Abstract：Global climate change is intensifying,placing increasing pressure on economies to reduce emissions.Balancing economic growth with carbon emissions has become a critical challenge.Carbon Emission Efficiency(CEE),as a key indicator to measure the carbon emission level per unit of economic output,is a direct reflection of the effectiveness of regional emission reduction.Again this backdrop,based on panel data from 30 provincial administrative regions in China from 2000 to 2021,this paper uses the Super-SBM model to calculate the CEE level of each province.The modified gravity model is applied to construct an inter-provincial CEE correlation network,and its structural features and dynamic evolution are analyzed.The results show that:① There is significant spatial heterogeneity in inter-provincial CEE in China,with an overall distribution pattern of"high in the east and low in the west".High-efficiency provinces are mainly concentrated in the economically developed eastern coastal areas;② The impact path of inter-provincial CEE has gradually shifted from an initial dispersed state to core areas such as Jiangsu-Zhejiang-Shanghai and Beijing-Tianjin-Hebei;③ The spillover driving effect among high-and medium-efficiency provinces is significant,but the promotion effect on low-efficiency provinces is relatively limited.There exists a"spillover effect barrier"in low-efficiency provinces during the regional collaborative improvement of CEE.This study is of great practical significance for optimizing regional cooperative emission reduction pathways and enhancing overall carbon emission efficiency.
Keywords：carbon emission efficiencySuper-SBM modelcorrelation networkspatial heterogeneityinfluence pathway
Publication Date：2025-06-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：10( 31-40 )