Embodied energy use in China's industrial sectors

By Zhu Liu, Yong Geng, Soeren Lindner, Hongyan Zhao, Tsuyoshi Fujita, D. Guan. 2012

201 citations recorded by the source corpus.

Subfields: Environmental Engineering, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/dbe66b15a514331144c0e456427508022bd6c9d0

How researchers see this paper

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

In Environmental Engineering

1. D. Guan
2. Manfred Lenzen
3. G. P. Peters
4. Jing Meng
5. E. Dietzenbacher
6. Zhu Liu
7. Sangwon Suh
8. T. Wiedmann

In Industrial and Manufacturing Engineering

1. G. P. Peters
2. Manfred Lenzen
3. E. Dietzenbacher
4. D. Guan
5. Jing Meng
6. Sangwon Suh
7. Zhu Liu
8. T. Wiedmann

Citations in the corpus

• Assessment of electrical vehicles as a successful driver for reducing CO2 emissions in China (2016, unknown): “7 consumption activities and captures energy consumption flows in physical units within the economy [45, 46, 47].”
• China's energy consumption under the global economic crisis: Decomposition and sectoral analysis (2014, background): “Along with the declining trade, the influence of the crisis on China's economy, employment and consumption was felt during and after 2009 (Fidrmuc and Korhonen, 2009; Diao et al., 2012; Liu et al., 2012a; Voon and Voon, 2012).”
• The socioeconomic drivers of China’s primary PM2.5 emissions (2014, methodology): “Data mapping between the emission inventory and input–output dataset uses the same procedure as our previous work (e.g. Feng et al 2012, 2013, Lindner et al 2013, Liu et al 2012a,b) and is fully documented in Guan et al (2012).”
• INPUT–OUTPUT ANALYSIS: THE NEXT 25 YEARS (2013, background): “Some examples are to study energy consumption (Lenzen et al., 2004), CO2 emissions (e.g. Chong et al., 2012; Liu et al., 2012), water consumption and pollution (e.g. Zhang et al., 2011) and so on.”
• Carbon dioxide emission drivers for a typical metropolis using input–output structural decomposition analysis (2013, methodology): “Many researchers have used IDAmethods to reveal the driving forces for the variation in the national and regional CO2 emissions in China, including several case studies conducted in cities (Chong et al., 2012; Liu et al., 2012c).”