Spatiotemporal dynamics of carbon intensity from energy consumption in China

By Yeqing Cheng, Zheye Wang, Xinyue Ye, Yehua Dennis Wei. Journal of Geographical Science, 2014

134 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/28072d2e81c933edd963491cef1318661becc147

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. Hong Chen
2. Liangen Zeng
3. Haoyu Hu
4. Yenping Liu
5. Ruyin Long
6. Yang Zhou
7. Haiyan Lu
8. Tianxiang Shao

In Environmental Engineering

1. Hong Chen
2. Ruyin Long
3. Tianxiang Shao

Citations in the corpus

• Spatial econometric analysis of China’s province-level industrial carbon productivity and its influencing factors (2016, background): “Compared to related studies [22,37,38], we can find that the industrial carbon productivity (Table 1) exhibit more statistically significant spatial dependence than overall CO2 emission and its intensity.”
• Analysis of Regional Differences and Influencing Factors on China’s Carbon Emission Efficiency in 2005–2015 (2019, methodology): “in 2014 applied the SDM to examine the dominating factors of China’s carbon intensity from energy consumption from 1997 to 2010 [51].”