Regional total factor energy efficiency: An empirical analysis of industrial sector in China
By Zhaohua Wang, Hua-Lin Zeng, Yi-Ming Wei, Yixiang Zhang. 2012
241 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Environmental Engineering, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/149c021f03331f60594e2af49518ec45e4ab9c0c
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
- Chao Feng
- George Filis
- Peng Zhou
- Yan-sui Liu
- Boqiang Lin
- Yi-Ming Wei
- Yue‐Jun Zhang
- Ioannis Chatziantoniou
In Environmental Engineering
In Management Science and Operations Research
Citations in the corpus
- Factors influencing energy-saving behavior of urban households in Jiangsu Province (2013, background): “Divided regions in China have different economic development and energy efficiency (Wang et al., 2012b).”
- Does population have a larger impact on carbon dioxide emissions than income? Evidence from a cross-regional panel analysis in China (2016, methodology): “STIRPAT model has been successfully utilized to analyze the effects of driving forces on various environmental impacts [7,10,17,27,33,35].”
- Air emissions perspective on energy efficiency: An empirical analysis of China's coastal areas (2017, background): “In fact, during the production process, desirable outputs (such as GDP) are usually produced alongside undesirable outputs (pollution).”
- Energy efficiency, carbon emission performance, and technology gaps: Evidence from CDM project investment (2018, background): “Specifically, total factor energy efficiency considers the impact of the interaction of various input factors (Hu and Wang, 2006; Li and Lin, 2017), and its measurement result is confirmed to be more accurate to a certain extent (Jia and Liu, 2012; Wang et al., 2012).”