A structural decomposition analysis of the emissions embodied in trade

By Yan Xu, E. Dietzenbacher. 2014

292 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/4536271eaa7dee2ce65b2cd54e3ceb1ac0096d9e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. D. Guan
2. Jing Meng
3. Yuli Shan
4. Zhu Liu
5. Zhifu Mi
6. Kuishuang Feng
7. Yi-Ming Wei
8. Heran Zheng

In Environmental Engineering

1. D. Guan
2. Jing Meng
3. Zhifu Mi
4. Yuli Shan
5. Zhu Liu
6. Kuishuang Feng
7. Heran Zheng
8. Yi-Ming Wei

Citations in the corpus

• Drivers in CO2 emissions variation: A decomposition analysis for 33 world countries (2016, background): “investigate energy-related emission in different countries and sectors as industrial activities, transports or final consumption [48-54].”
• Carbon emissions and their drivers for a typical urban economy from multiple perspectives: A case analysis for Beijing city (2018, background): “Moreover, Xu and Dietzenbacher [55] presented a SDA for the emissions embodied in trade.”
• Decoupling or delusion? Measuring emissions displacement in foreign trade (2018, methodology): “Structural decomposition analysis provides a useful tool for this purpose (Copeland and Taylor, 1994; Xu et al., 2011; Xu and Dietzenbacher, 2014; Zhang, 2012; Pan et al., 2008).”
• Pattern changes in determinants of Chinese emissions (2017, methodology): “…approach has been widely used to assess the driving forces of CO2 emission growth at a global level (Arto and Dietzenbacher 2014, Malik et al 2016, Xu and Dietzenbacher 2014) and provide national analyses to the United States (Feng et al 2015, Kotchen and Mansur 2016), the United Kingdom…”
• Carbon emissions of cities from a consumption-based perspective (2019, background): “As global carbon emissions calculated by CBA are also increasing annually [26], it is particularly important to analyse global carbon emissions and their influential factors according to CBA.”
• The emission cost of international sourcing: using structural decomposition analysis to calculate the contribution of international sourcing to CO2-emission growth (2016, background): “12 Xu and Dietzenbacher (2014), Duarte et al. (2015) and Malik and Lan (2016) are other examples of MRIO-based SDA.”