A structural decomposition analysis of global energy footprints
By Jun Lan, Arun Malik, Manfred Lenzen, D. McBain, Keiichiro Kanemoto. 2016
266 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Environmental Engineering, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/646d05a4295e150181246b6f804a4a33de81c231
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
In Environmental Engineering
In Renewable Energy, Sustainability and the Environment
Citations in the corpus
- Imbalance and drivers of carbon emissions embodied in trade along the Belt and Road Initiative (2020, methodology): “Logarithmic Mean Divisia Index (LMDI) is recommended for implementing SDA due to its relatively simple computation, especially when the number of factors is large [36].”
- Carbon emissions and their drivers for a typical urban economy from multiple perspectives: A case analysis for Beijing city (2018, background): “structural decomposition analysis (SDA) [49, 50] and production-theoretical”
- Global Research on Carbon Emissions: A Scientometric Review (2019, background): “[8] explored the energy footprint and Xu et al.”
- Determinants of global CO2 emissions growth (2016, unknown): “The GMRIO framework has been widely accepted to analyze the global energy consumption and CO2 emissions growth (see, Wiedmann, 2009; Arto and Dietzenbacher, 2015; Mundaca et al., 2015; Zhang et al., 2015; Brizga et al., 2016; Lan et al., 2016).”