Inter-regional spillover of China's sulfur dioxide (SO2) pollution across the supply chains

Abstract

Inter-regional spillover of air pollution can be regarded as a mixture of economic externalities and long-distance transport. To comprehensively reveal this problem, a new consumption-based sulfur dioxide (SO 2 ) emission inventory in 2010 for 30 provincial regions of China was compiled by introducing source-receptor relationship (SRR) model to integrate the spillover impacts of physical transport from emitter (producer) region to receptor region and virtual transfer from driver (consumer) region to emitter region. Compared the emissions induced by final regional demand with the emissions received in seven regions of China, Southern (0.59 Mt), Northern (0.25 Mt), Northwestern (0.18 Mt) and Eastern (0.14 Mt) areas outsourced SO 2 pollution in the mass, whereas Central (-0.66 Mt), Northeastern (-0.42 Mt) and Southwestern (-0.08 Mt) areas took excessive environmental burdens in 2010. The four municipalities, Chongqing, Shanghai, Beijing and Tianjin as well as the most affluent province Guangdong showed significant pollution transfer after an overall assessment of their roles in drivers, emitters and receptors. Shanxi, Inner Mongolia, Guizhou, Henan and Shandongshowed the largest co-benefits of SO 2 emissions control for climate change mitigation. Japan was found to receive more portions of transboundary SO 2 deposition than its market shares in China's export instead of other major trade partners of China. As a mega-city, Beijing induced significant SO 2 emissions for power requirement, food consumption, miscellaneous services and her vibrant research activities through the sectors of power industry, coal mining, chemical manufacturing, food-related industries, petroleum processing and coking, but 86% of those emissions were outsourced by Beijing.In total, the spillover of SO 2 emissions induced by Beijing was estimated at 0.20 Mt, 76 times more than its own share as a receptor across the supply chains. This study is competent for an analytic framework of strategic planning for joint prevention and control of air pollution in China and other countries. The results can help reduce pollution transfer, properly tax on drivers, effectively control the emitters, and reasonably compensate the receptors. Highlights• New consumption-based accounting of China's SO 2 emissions to include physical transfer • Chongqing, Shanghai, Beijing, Tianjin and Guangdong showed significant pollution transfer • The spillover of SO 2 emissions by Beijing's final demand was 76 times more than its own share • Japan received excessive transboundary SO 2 deposition than its market shares in China's export • Data-driven planning of regional compensation and cooperation is highly recommended

Achieving loyalty for sharing economy platforms: an expectation–confirmation perspective

“…Externality is another key construct identified from the case and is operationalized as the cost or benefit that affects a party who did not choose to incur that cost (i.e. negative externality) or receive that benefit (positive externality) (Ding et al , 2018; Zhang et al , 2019). Social and environmental aspects of externality are particularly salient in this study.…”

Does the joint prevention and control regulation improve the air quality? A quasi-experiment in the Beijing economic belt during the COVID-19 pandemic

“…Optimizing regional industrial layout and limiting production and emission are two important governance measures ( General Office of the State Council of China, 2010 ). The State Council of the People's Republic of China has formulated a series of measures and regulations for the improvement of air quality ( Jin, Andersson & Zhang, 2016 ; Li, Qiao, Zhu, Shi & Wang, 2017 ; Shi, Wang, Chen & Huisingh, 2016 ) in regions with serious air pollution ( Song, Zhang & Zhang, 2020b ) and showed a significant downward trend of the concentration of air pollutants ( Zhao et al., 2021 ; Zhang, Nakatani, Shan & Moriguchi, 2019b ). Beijing-Tianjin-Hebei region has also carried out a series of industrial layout adjustments from 2014 to reduce the spread of air pollution by adjusting the industrial layout ( Geng, Wang, Ettema & Anderson, 2020 ; Ministry of Natural Resources of China, 2014 ; Shi et al., 2016 ; Wu, Liao & Hu, 2021 ).…”

A Fine Spatial Resolution Modeling of Urban Carbon Emissions: A Case Study of Shanghai, China

“…To date, extensive validation of CEs and their environmental effects have been conducted (Baumert et al, 2019;Hamilton and Friess, 2018), and measuring CEs from energy consumption has received increasing attention (Chen et al, 2017;Gudipudi et al, 2016;Zhang et al, 2019). For example, Lu (2018) quanti ed and analyzed the impact of CEs from fossil fuel consumption at the national level.…”