2015
DOI: 10.1088/1748-9326/10/5/054005
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Tracing Primary PM 2.5 emissions via Chinese supply chains

Abstract: In this study, we examine a supply-chain approach to more effectively mitigate primary PM 2.5 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 PM 2.5 emission. We found that consumers' demands o… Show more

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Cited by 134 publications
(55 citation statements)
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“…In developing countries, a significant portion of PM 2.5 emissions (e.g. 60% in China and 40% in India) were related to capital investment (particularly in construction) [23,38], suggesting that investment contributed to an even greater proportion of PM 2.5 emissions than the proportion in their GDPs. Construction drives PM 2.5 emissions by creating an increasing market demand for the large-scale production expansion of cement, steel and other emission-intensive material, which has much larger emission intensity than the same products in other developed regions (more details in the following sections).…”
Section: Resultsmentioning
confidence: 99%
“…In developing countries, a significant portion of PM 2.5 emissions (e.g. 60% in China and 40% in India) were related to capital investment (particularly in construction) [23,38], suggesting that investment contributed to an even greater proportion of PM 2.5 emissions than the proportion in their GDPs. Construction drives PM 2.5 emissions by creating an increasing market demand for the large-scale production expansion of cement, steel and other emission-intensive material, which has much larger emission intensity than the same products in other developed regions (more details in the following sections).…”
Section: Resultsmentioning
confidence: 99%
“…Identifying the drivers of MN&C could also help reduce the capacities of MN&C from the sources of the supply chain. Previously, final demand was identified as the ultimate driver of the supply chain using consumption-based accounting (Meng et al 2015, Zhao et al 2015, Huo et al 2014. However, this accounting approach cannot fully illustrate the driving forces of the MN&C downstream industries (Liang et al 2017b, Liang et al 2017a.…”
Section: Introductionmentioning
confidence: 99%
“…Sugiyama et al (2009) multiplied the estimated energy consumption associated with each fuel type by a PM10 emission factor incorporating the technological level of dust collection in each sector. Meng et al (2015) implemented the calculation according to three sources of PM2.5, stationary combustion, industrial processes and mobile sources.…”
Section: Reviewmentioning
confidence: 99%