Identification and Evaluation of Synergy Between Carbon Emissions and Air Pollutants in Inter-Industrial Trade Among Provinces in China

Le Niu, Jiaoyue Wang (), Hongyan Zhao, Mingjing Ma and Fengming Xi ()
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Le Niu: Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
Jiaoyue Wang: Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
Hongyan Zhao: Center for Atmospheric Environmental Studies, School of Environment, Beijing Normal University, Beijing 100875, China
Mingjing Ma: Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China
Fengming Xi: Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China

Sustainability, 2024, vol. 16, issue 20, 1-16

Abstract: With the vigorous promotion in China of efforts to reduce pollution and carbon emissions, examining their synergies becomes increasingly crucial. This study used the multi-regional input–output (MRIO) table to build the consumption-based industrial emissions inventories of CO 2 and three major air pollutants (PM 2.5 , NO x , and SO 2 ) and constructed synergistic emission indices of the intensity and magnitude to identify and evaluate the synergy between carbon emissions and air pollutants in inter-industrial trade among 30 provinces in mainland China. The results show that more than 85% and 40% of inter-provincial and inter-industrial trades have synergistic emissions between CO 2 and air pollutants, respectively. We identified 77 inter-provincial trades and 84 inter-industrial trades among provinces with strong synergistic emissions. They are mainly reflected in the demand of the construction industry in Zhejiang and Guangdong for the nonmetal mineral products manufacturing industry in Henan, and the metal smelting and processing industry in Hebei, along with the demand of the service industry in Beijing for the electric power, steam, and hot water production and supply industry in Inner Mongolia. Our study provides new insights into the synergistic reduction of CO 2 and air pollutants within the supply chain, thereby enriching the discourse on regional and industrial synergies in achieving sustainable development goals.

Keywords: synergy identification and evaluation; air pollution; climate change; inter-provincial industrial synergy (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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