What Influences the Cross-Border Air Pollutant Transfer in China–United States Trade: A Comparative Analysis Using the Extended IO-SDA Method

Xu, Shichun; Gao, Chang; Li, Yunfan; Ma, Xiaoxue; Zhou, Yifeng; He, Zhengxia; Zhao, Bin; Wang, Shuxiao

doi:10.3390/su11226252

Title: What Influences the Cross-Border Air Pollutant Transfer in China–United States Trade: A Comparative Analysis Using the Extended IO-SDA Method

Journal Article · 07 November 2019 · Sustainability (Basel)

DOI: https://doi.org/10.3390/su11226252 · OSTI ID:1615015

Xu, Shichun ^[1]; Gao, Chang ^[1]; Li, Yunfan ^[1]; Ma, Xiaoxue ^[1]; Zhou, Yifeng ^[1]; He, Zhengxia ^[2]; Zhao, Bin ^[3]; Wang, Shuxiao ^[4]

China Univ. of Mining and Technology, Xuzhou (China)
Jiangsu Normal Univ., Xuzhou (China)
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Tsinghua Univ., Beijing (China)

This paper extends the IO-SDA (input–output and structural decomposition analysis) method to decompose the CBAPT (cross-border air pollutant transfer) into different effects, and reveals the status of CBAPT and analyzes influencing factors affecting the CBAPT in China–US trade by comparing China with the US in these factors. This study found that China was a net air pollutant exporter, and this indicates the air pollutants were transferred from the US into China through China–US trade. On the whole, the China energy intensity, China emission coefficient, and import scale effects decreased the CBAPT, whereas the export scale and US emission coefficient effects increased the CBAPT; the influences of export structure, US energy intensity, and import structure on CBAPT were uncertain. The sectoral distribution of effects on the CBAPT in China–US trade was unbalanced, which was mainly concentrated in heavy industry and transportation. The China energy intensity, China emission coefficient, and import scale effects inhibited sectoral CBAPT, and the export scale effect promoted this sectoral transfer. Other effects on the sectoral transfer were negligible. This paper provides some policy suggestions based on empirical results.

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Research Organization:: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Sponsoring Organization:: USDOE; National Natural Science Foundation of China (NSFC); Jiangsu Provincial Department of Education; China Postdoctoral Science Foundation; Jiangsu Social Science Fund Project

Grant/Contract Number:: AC05-76RL01830; 71974083; 71573253; 2018SJZDI109; 2015T80594; 2014M551682; 18EYB014

OSTI ID:: 1615015

Report Number(s):: PNNL-SA-150280; SUSTDE

Journal Information:: Sustainability (Basel), Vol. 11, Issue 22; ISSN 2071-1050

Publisher:: MDPICopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 1 work

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