How does information and communication technology affect China's energy intensity? A three-tier structural decomposition analysis

By Xiaoyong Zhou, Dequn Zhou, Qunwei Wang. 2018

171 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Electrical and Electronic Engineering, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/60df1b37896935e4b493e1bbbb04adf83d2c3371

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. Kun Yang
2. Liang Liu
3. Jun Liu
4. Hidemichi Fujii

In Environmental Engineering

1. Kun Yang
2. Liang Liu
3. Jun Liu
4. Hidemichi Fujii

Citations in the corpus

• Artificial intelligence and energy intensity in China’s industrial sector: Effect and transmission channel (2021, background): “In recent decades, energy consumption and carbon emissions have increased as more and more digital devices have been produced and used (Van Heddeghem et al., 2014; Salahuddin and Alam, 2016; Zhou et al., 2018; Belkhir and Elmeligi, 2018; Lange et al., 2020).”