Input–output analysis of CO2 emissions embodied in trade: A multi-region model for China

By Bin Su, Beng Wah Ang. 2014

393 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/a778102887b9af65d8e6cea95e757a67e56748fa

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1. Robbie M. Andrew
2. Bo Meng
3. Heran Zheng
4. Kuishuang Feng
5. G. P. Peters
6. Jiali Zheng
7. Ling Shao
8. Jianguo Wang

Citations in the corpus

• Carbon emission imbalances and the structural paths of Chinese regions (2018, background): “However, in recent years the growing inter-provincial trading led to more and more carbon transfer and imbalance issues in China [11-14].”
• Spatial spillover effects in determining China's regional CO2 emissions growth: 2007–2010 (2017, background): “…on Chinese inter-regional or inter-provincial carbon emission transfer include Feng et al. (2013), Guo et al. (2012), Meng et al. (2013a), Su and Ang (2014a), H. Liu et al. (2015), L.C. Liu et al. (2015), etc. 6 At a global level, Xu andDietzenbacher (2014) applied the SDA to global…”
• A study on embodied carbon transfer at the provincial level of China from a social network perspective (2019, methodology): “Furthermore, the MRIO approach can ensure the validity of the embodied carbon calculation by relaxing the technical assumptions inherent in SRIO and BTIO (Su and Ang, 2014; Li et al., 2016; Zhang et al., 2017; Zhou et al., 2018).”