The drivers of energy intensity in China: A spatial panel data approach

By Lei Jiang, H. Folmer, Minhe Ji. 2014

131 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/9161cf92a1433a74aaa27111495172e89227a17a

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. Muhammad Shahbaz
2. Avik Sinha
3. X. Vo
4. Zsuzsanna Csereklyei
5. Chandrashekar Raghutla
6. Puyang Sun
7. Robert J. R. Elliott
8. David I. Stern

In Environmental Engineering

1. Muhammad Shahbaz
2. Avik Sinha
3. Chandrashekar Raghutla
4. X. Vo
5. Tong Zhu
6. Robert J. R. Elliott
7. David I. Stern
8. Puyang Sun

In Renewable Energy, Sustainability and the Environment

1. Muhammad Shahbaz
2. Avik Sinha
3. X. Vo
4. Zsuzsanna Csereklyei
5. Chandrashekar Raghutla
6. David I. Stern
7. Tong Zhu
8. Robert J. R. Elliott

Citations in the corpus

• Decomposing Scale and Technique Effects of Financial Development and Foreign Direct Investment on Renewable Energy Consumption (2022, methodology): “Using Chinese data, Jiang et al. (2014) applied a spatial panel approach to examine the impact of foreign direct investment on energy intensity covering the period of 2003-2011.”
• The direct and indirect effect of urbanization on energy intensity: A province-level study for China (2017, result): “Jiang et al. (2014)[42] find similar results showing that for 19 out of 29 provinces between 2003 and 2011, energy intensity fell with the growth of income.”
• Global Energy Use: Decoupling or Convergence? (2015, background): “Most of the research on energy consumption in the past has been in a time-series or panel setting and, with the exception of Jiang et al. (2014), has not explicitly addressed the issue of spatial dependence.”