Does urbanization affect energy intensities across provinces in China?Long-run elasticities estimation using dynamic panels with heterogeneous slopes
By Ben Ma. 2015
126 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Environmental Engineering, Pollution
View Paper: https://www.semanticscholar.org/paper/7adef918ffc071ea82babd6c498226400e936fe8
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
- Setareh Katircioglu
- Emrah Koçak
- Puyang Sun
- Tong Zhu
- Dan Du
- Faik Bilgili
- Robert J. R. Elliott
- Qizhi Tao
In Environmental Engineering
In Pollution
- Emrah Koçak
- Tong Zhu
- Faik Bilgili
- Robert J. R. Elliott
- Junbing Huang
- Setareh Katircioglu
- S. Katircioğlu
- Umit Bulut
Citations in the corpus
- An analysis of technological factors and energy intensity in China (2017, background): “Both Sadorsky (2013) and Ma (2015) find that the impact of urbanisation on aggregate energy intensity is mixed.”
- The impact of urbanization on energy intensity: Panel data evidence considering cross-sectional dependence and heterogeneity (2017, background): “For example, along with urbanization, demand for refrigerators, microwave ovens, air conditioners, and private cars, which require more energy, increase [39,55].”
- Testing the role of urban development in the conventional Environmental Kuznets Curve: evidence from Turkey (2018, background): “Urbanization may lead to higher amounts of commercial energy consumption (Jones, 1989, 1991; Parikh & Shukla, 1995; York, 2007; Zhang and Lin 2012; Ma 2015).”
- The direct and indirect effect of urbanization on energy intensity: A province-level study for China (2017, background): “…on urbanization, the coefficients for the fixed effects estimations range from between 0.875 and 1.126 which are consistent with Zhang and Lin (2012) who find an urban impact of 0.41 and Ma (2015) who presents an impact range from 0.20 to 0.29.5 The Urban2 and Urban1 results are broadly similar.”