Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4916917 | Applied Energy | 2016 | 10 Pages |
Abstract
Particulate matter (PM) adversely affects air quality, human health and the climate, and it is more prevalent in urban areas. Few efforts have been made to quantify the impact of trade on PM concentrations in an urban economy. This paper presents an analysis of the impacts of domestic and international trade on PM emissions in Beijing using a three-scale input-output model, supported by the national and global embodied energy-related PM2.5, PM10 and TSP (total suspended particulate) emission intensities. The results found that the total energy-related PM2.5, PM10 and TSP emissions (production-based) in Beijing were 106Â Gg, 163Â Gg and 347Â Gg, respectively, in 2010. Of these amounts, 48% (51Â Gg, 74Â Gg and 146Â Gg, respectively) was associated with local demand, 42% (44Â Gg, 73Â Gg and 168Â Gg, respectively) was associated with domestic exports, and 10% (11Â Gg, 16Â Gg and 33Â Gg, respectively) was associated with international exports. From a consumption perspective, Beijing's PM2.5, PM10 and TSP emissions were more than double the production-based PM emissions. Approximately 75% (172Â Gg, 311Â Gg and 786Â Gg, respectively) of the consumption-based PM emissions were domestically outsourced to other provinces, primarily via the import of metal (32Â Gg, 58Â Gg and 151Â Gg), construction (26Â Gg, 36Â Gg and 91Â Gg) and chemical products (16Â Gg, 30Â Gg and 75Â Gg), and 3% (8Â Gg, 10Â Gg and 24Â Gg, respectively) of consumption-based PM emissions were outsourced abroad. Our results indicate that domestic trade plays a dominant role in Beijing's PM2.5 emissions. These findings suggest that more national and sub-national government should co-ordinate design and implement effective mechanisms to alleviate urban air pollution because of the significant effects of interprovincial and international trade on local emissions.
Keywords
Related Topics
Physical Sciences and Engineering
Energy
Energy Engineering and Power Technology
Authors
Jing Meng, Junfeng Liu, Shan Guo, Ye Huang, Shu Tao,