Literature DB >> 30508793

Environmental responsibility for sulfur dioxide emissions and associated biodiversity loss across Chinese provinces.

Yuan Qian1, Paul Behrens2, Arnold Tukker3, João F D Rodrigues4, Pingke Li5, Laura Scherer4.   

Abstract

Recent years have witnessed a growing volume in Chinese interregional trade, along with the increasing disparities in environmental pressures. This has prompted an increased attention on where the responsibilities for environmental impacts should be placed. In this paper, we quantify the environmental responsibility of SO2 emissions and biodiversity impacts due to terrestrial acidification at the provincial level for the first time. We examine the environmental responsibility from the perspectives of production, consumption, and income generation by employing a Multi-Regional Input-Output (MRIO) model for 2007, 2010, and 2012. The results indicate that ∼40% of SO2 emissions were driven by the consumption in provinces other than where the emissions discharged. In particular, those developed provinces were net importers of SO2 emissions and mainly outsourced their emissions to nearby developing provinces. Over the period of analysis, environmental inequality among 30 provinces was larger than GDP inequality. Furthermore, environmental inequality continued to increase while GDP inequality decreased over the time period. The results of a shared income- and consumption-based responsibility approach suggest that the environmental responsibility of SO2 emissions and biodiversity impacts for developed provinces can reach up to ∼4- to 93-fold the environmental pressure occurred within those provinces. This indicates that under these accounting principles the developed northern provinces in China would bear a much larger share of the environmental responsibility.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Environmental inequality; Impact assessment; Multi-regional input-output analysis; Responsibility sharing; Soil acidification

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Year:  2018        PMID: 30508793     DOI: 10.1016/j.envpol.2018.11.043

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


  2 in total

1.  Identifying Driving Factors of Jiangsu's Regional Sulfur Dioxide Emissions: A Generalized Divisia Index Method.

Authors:  Junliang Yang; Haiyan Shan
Journal:  Int J Environ Res Public Health       Date:  2019-10-19       Impact factor: 3.390

2.  Provincial and sector-level material footprints in China.

Authors:  Meng Jiang; Paul Behrens; Tao Wang; Zhipeng Tang; Yadong Yu; Dingjiang Chen; Lin Liu; Zijian Ren; Wenji Zhou; Shengjun Zhu; Canfei He; Arnold Tukker; Bing Zhu
Journal:  Proc Natl Acad Sci U S A       Date:  2019-12-16       Impact factor: 11.205

  2 in total

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