Literature DB >> 29804050

The temporal variation of SO2 emissions embodied in Chinese supply chains, 2002-2012.

Xue Yang1, Wenzhong Zhang2, Jie Fan3, Jiaming Li3, Jing Meng4.   

Abstract

Whilst attention is increasingly being focused on embodied pollutant emissions along supply chains in China, relatively little attention has been paid to dynamic changes in this process. This study utilized environmental extended input-output analysis (EEIOA) and structural path analysis (SPA) to investigate the dynamic variation of the SO2 emissions embodied in 28 economic sectors in Chinese supply chains during 2002-2012. The main conclusions are summarized as follows: (1) The dominant SO2 emission sectors differed under production and consumption perspectives. Electricity and heat production dominated SO2 emissions from the point of view of production, while construction contributed most from the consumption perspective. (2) The embodied SO2 emissions tended to change from the path (staring from consumption side to production side): "Services→Services→Power" in 2002 to the path: "Construction and Manufacturing→Metal and Nonmetal→Power" in 2012. (3) Metal-driven emissions raised dramatically from 15% in 2002 to 22% in 2012, due to increasing demand for metal products in construction and manufacturing activities. (4) Power generation was found to result in the greatest volume of production-based emissions, a burden it tended to transfer to upstream sectors in 2012. Controlling construction activities and cutting down end-of-pipe discharges in the process of power generation represent the most radical interventions in reducing Chinese SO2 emissions. This study shed light on changes in SO2 emissions in the supply chain, providing a range of policy implications from both production and consumption perspectives.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Input-output model; SO(2) emissions; Structural path analysis; Supply chain; Temporal variation

Mesh:

Substances:

Year:  2018        PMID: 29804050     DOI: 10.1016/j.envpol.2018.05.052

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  2 in total

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  2 in total

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