The emission cost of international sourcing: using structural decomposition analysis to calculate the contribution of international sourcing to CO2-emission growth

By R. Hoekstra, B. Michel, Sangwon Suh. 2016

123 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/3975bbf23ecd1ad00d764ff86fdaeb8cb25fcf2e

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. Robbie M. Andrew
2. G. P. Peters
3. Bo Meng
4. Jinjun Xue
5. Hao Xiao
6. Jianguo Wang
7. T. Wiedmann
8. Manfred Lenzen

In Environmental Engineering

1. Robbie M. Andrew
2. G. P. Peters
3. Bo Meng
4. Jinjun Xue
5. Hao Xiao
6. Jianguo Wang
7. T. Wiedmann
8. Manfred Lenzen

Citations in the corpus

• Determinants of global CO2 emissions growth (2016, unknown): “Structural Decomposition Analysis (SDA) has been extensively applied to decompose the global energy use and emissions growth (see, e.g. Hoekstra et al., 2016; Malik and Lan, 2016; Malik et al., 2016 and Lenzen (2016) for a very recent review).”
• Spatial spillover effects in determining China's regional CO2 emissions growth: 2007–2010 (2017, background): “…etc. 6 At a global level, Xu andDietzenbacher (2014) applied the SDA to global inter-regional IO tables for analyzing emissions embodied in trade;Hoekstra et al. (2016) estimated how changes in sourcing pattern affect territorial emissions in high-wage and low-wage countries respectively based…”