Tracing Primary PM2.5 emissions via Chinese supply chains

By Jing Meng, Junfeng Liu, Yuan Xu, Shu Tao. 2015

149 citations recorded by the source corpus.

In this study, we examine a supply-chain approach to more effectively mitigate primary PM2.5 emissions in China from the perspectives of production, consumption and their linkages using structural path analysis. We identify the pattern of all supply chain paths using principal component analysis. To address the severe haze problems in China, it is important to understand how final demand purchase initiates production processes and ultimately leads to primary PM2.5 emission. We found that consumers’ demands on power and transportation mainly induce direct emissions, quite different from the demands on construction, industry and service products which largely drive emissions in upstream activities. We also found that nearly 80% of the economic sectors in China follow a similar pattern in generating primary PM2.5 emissions in electricity, cement and the ferrous metal industries; but only the construction sector increases the release of PM2.5 due to the production of non-metallic mineral products. These findings indicate that further reduction of end-of-pipe emissions in the power and transportation sectors will facilitate cleaner production in almost all the economic sectors. However, for urbanization induced emissions, China should mitigate PM2.5 emissions through the supply chain of construction, either severely reducing its life-cycle intensity or carefully planning to avoid extensive, unnecessary building activity.

Subfields: Automotive Engineering, Environmental Engineering, Health, Toxicology and Mutagenesis

View Paper: https://www.semanticscholar.org/paper/25b9de1555467e50cdb1db1f8d90ff0eaf47e645

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. D. Guan
2. Zhifu Mi
3. Jing Meng
4. Yi-Ming Wei
5. Kuishuang Feng
6. Zhu Liu

In Environmental Engineering

1. D. Guan
2. Jing Meng
3. Zhifu Mi
4. Yuli Shan
5. Zhu Liu
6. Kuishuang Feng
7. Yi-Ming Wei
8. Fergus Green

In Health, Toxicology and Mutagenesis

1. Jing Meng
2. D. Guan
3. Kuishuang Feng
4. Zhu Liu

Citations in the corpus

• Pattern changes in determinants of Chinese emissions (2017, methodology): “The environmental input-output analysis (IOA) method is an established life cycle assessment (LCA) and carbon emissions analysis approach (Meng et al 2015, Mi et al 2017a, Mi et al 2017b).”
• Identifying primary energy requirements in structural path analysis: A case study of China 2012 (2017, methodology): “(5) is expanded using Taylor series approximation as [54,61], 12”
• China's “Exported Carbon” Peak: Patterns, Drivers, and Implications (2018, methodology): “The emissions embodied in exports can be calculated as follows (Meng et al., 2015):”