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Published November 2016 | Supplemental Material + Published
Journal Article Open

Globalization and pollution: tele-connecting local primary PM_(2.5) emissions to global consumption

Abstract

Globalization pushes production and consumption to geographically diverse locations and generates a variety of sizeable opportunities and challenges. The distribution and associated effects of short-lived primary fine particulate matter (PM_(2.5)), a representative of local pollution, are significantly affected by the consumption through global supply chain. Tele-connection is used here to represent the link between production and consumption activity at large distances. In this study, we develop a global consumption-based primary PM_(2.5) emission inventory to track primary PM_(2.5) emissions embodied in the supply chain and evaluate the extent to which local PM2.5 emissions are triggered by international trade. We further adopt consumption-based accounting and identify the global original source that produced the emissions. We find that anthropogenic PM_(2.5) emissions from industrial sectors accounted for 24 Tg globally in 2007; approximately 30% (7.2 Tg) of these emissions were embodied in export of products principally from Brazil, South Africa, India and China (3.8 Tg) to developed countries. Large differences (up to 10 times) in the embodied emissions intensity between net importers and exporters greatly increased total global PM_(2.5) emissions. Tele-connecting production and consumption activity provides valuable insights with respect to mitigating long-range transboundary air pollution and prompts concerted efforts aiming at more environmentally conscious globalization.

Additional Information

© 2016 The Authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/ by/4.0/, which permits unrestricted use, provided the original author and source are credited. Received: 21 May 2016; Accepted: 19 October 2016. Data accessibility. All data is available as supplementary material. Authors' contributions. J.M. and Y.H. prepared the data; J.M. conceived the MRIO models, analysed the results and drafted the paper; J.L. supervised the project. Y.X., D.G., Z.L. and S.T. revised the draft. All authors regularly discussed the progress during the entire work. We declare we have no competing interests. Funding. This work was supported by funding from the National Natural Science Foundation of China under awards 41671491, 41571130010, 41390240 and 41501605, National Key Research and Development Program of China 2016YFC0206202, and the 111 Project (B14001). The authors thank Dr Curtis H. S. and George N. for language editing.

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Supplemental Material - rspa20160380_si_001.docx

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August 20, 2023
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