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GHGs and air pollutants embodied in China’s international trade: Temporal and spatial index decomposition analysis

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  • Zhengyan Liu
  • Xianqiang Mao
  • Peng Song

Abstract

Temporal index decomposition analysis and spatial index decomposition analysis were applied to understand the driving forces of the emissions embodied in China’s exports and net exports during 2002–2011, respectively. The accumulated emissions embodied in exports accounted for approximately 30% of the total emissions in China; although the contribution of the sectoral total emissions intensity (technique effect) declined, the scale effect was largely responsible for the mounting emissions associated with export, and the composition effect played a largely insignificant role. Calculations of the emissions embodied in net exports suggest that China is generally in an environmentally inferior position compared with its major trade partners. The differences in the economy-wide emission intensities between China and its major trade partners were the biggest contribution to this reality, and the trade balance effect played a less important role. However, a lower degree of specialization in pollution intensive products in exports than in imports helped to reduce slightly the emissions embodied in net exports. The temporal index decomposition analysis results suggest that China should take effective measures to optimize export and supply-side structure and reduce the total emissions intensity. According to spatial index decomposition analysis, it is suggested that a more aggressive import policy was useful for curbing domestic and global emissions, and the transfer of advanced production technologies and emission control technologies from developed to developing countries should be a compulsory global environmental policy option to mitigate the possible leakage of pollution emissions caused by international trade.

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  • Zhengyan Liu & Xianqiang Mao & Peng Song, 2017. "GHGs and air pollutants embodied in China’s international trade: Temporal and spatial index decomposition analysis," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-19, April.
  • Handle: RePEc:plo:pone00:0176089
    DOI: 10.1371/journal.pone.0176089
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