Literature DB >> 30339021

Structural Changes in Provincial Emission Transfers within China.

Chen Pan1, Glen P Peters2, Robbie M Andrew2, Jan Ivar Korsbakken2, Shantong Li3, Peng Zhou1,4, Dequn Zhou1.   

Abstract

Chinese provinces ultimately implement China's national climate policies. In the 2000s, there were unbalanced emission transfers (emissions produced in one region but consumed in other regions) between China's well- and less-developed regions, mainly related to demand in the well-developed eastern provinces. In the past decade, the plateau in China's exported emissions and changes in its industrial structure suggest that the features of the provincial emission transfers could have changed. We construct a Chinese provincial multiyear, multisector model (multi-regional input-output model) to investigate the structural changes in China's provincial emission transfers from 2002 to 2012. We find that from 2007 to 2012, the international-export-associated emission transfers driven by eastern provinces decreased by 17% after the 262% increase in 2002-07, while investment dominated 99% of the increase in emission transfers. At the sector level, emissions caused by construction in the east and west, and technology-intensive manufacturing in the center that largely related to investment were the major components of the increasing emission transfers in 2007-12, accounting for 23%, 21%, and 10% of the increase, respectively. Our findings indicate that attention should be given to committed emissions from investment and the interaction between non-uniform provincial climate policies and economic relationships between provinces.

Mesh:

Year:  2018        PMID: 30339021     DOI: 10.1021/acs.est.8b03424

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  1 in total

1.  Chinese provincial multi-regional input-output database for 2012, 2015, and 2017.

Authors:  Heran Zheng; Yangchun Bai; Wendong Wei; Jing Meng; Zhengkai Zhang; Malin Song; Dabo Guan
Journal:  Sci Data       Date:  2021-09-22       Impact factor: 6.444

  1 in total

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