Spatial and Temporal Evolution of Synergistic Effect between Reduction of Pollution and Carbon in China: Analysis based on Total Fossil Energy Consumption

Yiyang Lin; Taohan Ni; Yaguai Yu; Ruiyan Gao; Yiting Chen

doi:10.6919/ICJE.202501_11(1).0007

Authors

Yiyang Lin
Taohan Ni
Yaguai Yu
Ruiyan Gao
Yiting Chen

DOI:

https://doi.org/10.6919/ICJE.202501_11(1).0007

Keywords:

Reduction of Pollution and Carbon; Synergistic Effect; Influencing Factors; Coupled Coordination Model; GTWR Model.

Abstract

Synergistic effect between reduction of pollution and carbon in China including 30 provinces, eight economic zones from 2012 to 2021, is firstly measured based on Coupled Coordination Model by this paper. Total energy consumption, energy consumption structure, regional industrial structure, urbanization rate, per capita GDP, total import and export trade as its indicators and then their impacts on synergistic effect is examined with Ordinary Least Squares, and the strength of impact of the influencing factors are finally analyzed through spatial-temporal geographical weighted regression model (GTWR) followed by the examination of spatial heterogeneity of selected indicators through Moran’s I Index. Conclusions include: (1)The reduction of pollutant emissions has witnessed rapid progress, while the decrease in carbon dioxide emissions has been comparatively slower. In terms of synergistic effects, China's overall synergy between pollution and carbon reduction has consistently improved from 2012 to 2021. (2) As for the influencing effects, total energy consumption and per capita GDP negatively hinder the synergistic effect between reduction of pollution and carbon in most provinces, while others positively promote the achievement of the synergistic effect between reduction of pollution and carbon. Suggestions includes provincial development strategies, industrial structure optimization and clean energy strategies.

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