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The Coordinated Effects of CO[sub.2] and Air Pollutant Emission Changes Induced by Inter-Provincial Trade in China

Inter-provincial trade leads to changes in CO[sub.2] and air pollutant emissions. However, there is a research gap regarding the coordinated effects (co-effects) between embodied CO[sub.2] and air pollutant emissions in trade. Understanding co-effects in inter-provincial trade is a prerequisite for...

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Bibliographic Details
Published in:Sustainability 2024-02, Vol.16 (4)
Main Authors: Qi, Peng, Lang, Jianlei, Wang, Xiaoqi, Zhou, Ying, Qi, Haoyun, Cheng, Shuiyuan
Format: Article
Language:English
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Summary:Inter-provincial trade leads to changes in CO[sub.2] and air pollutant emissions. However, there is a research gap regarding the coordinated effects (co-effects) between embodied CO[sub.2] and air pollutant emissions in trade. Understanding co-effects in inter-provincial trade is a prerequisite for driving the green transformation of trade and achieving coordination between pollution and carbon reduction. Here, we calculated provincial-level CO[sub.2] and air pollutant emission leakage in 2012 and 2017 based on a modified input–output model and, for the first time, investigated the co-effects between CO[sub.2] and air pollutant emission leakage caused by emissions transfers in China. Three types of co-effects, categorized as co-benefits, trade-offs, and co-damage, were discovered and defined to reveal the provincial differences. Furthermore, combined with structural decomposition analysis (SDA), we calculated the interannual variation in trade-induced emissions and identified the key driving factors of provincial-level co-effects from 2012 to 2017. Optimizing the energy structure has led to the greatest co-benefits, while changes in the industrial structure and emission coefficients have led to limited co-benefits in specific provinces. Variations in trade volume have led to co-damages across all provinces, and changes in emission coefficients have led to trade-offs in the majority of provinces. The case analysis confirmed that identifying and adjusting the key driving factors of co-effects can promote the transformation from co-damage and trade-offs to co-benefits. The findings implied a new approach for the reduction in pollution and carbon through inter-provincial trade.
ISSN:2071-1050
2071-1050
DOI:10.3390/su16041706