Examining the impact factors of energy-related CO2 emissions using the STIRPAT model in Guangdong Province, China

By Ping Wang, W. Wu, Bangzhu Zhu, Yi-Ming Wei. 2013

528 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Environmental Engineering, Health, Toxicology and Mutagenesis

View Paper: https://www.semanticscholar.org/paper/d4e55137817957f695523ca38f4c3b7fdcc55122

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. Ilhan Ozturk
3. Yang Zhou
4. Yan-sui Liu
5. Wenjing Zhang
6. Hengzhou Xu
7. A. R. Chaudhary
8. Avik Sinha

In Environmental Engineering

1. Muhammad Shahbaz
2. Yan-sui Liu
3. Yang Zhou
4. Ilhan Ozturk
5. Wenjing Zhang
6. Hengzhou Xu
7. A. R. Chaudhary
8. Yurui Li

In Health, Toxicology and Mutagenesis

1. Wenjing Zhang
2. Hengzhou Xu
3. A. R. Chaudhary
4. Yang Zhou
5. Yan-sui Liu
6. Ilhan Ozturk
7. Muhammad Shahbaz
8. Wenxiang Wu

Citations in the corpus

• Assessing the impact of population, income and technology on energy consumption and industrial pollutant emissions in China (2015, methodology): “The STIRPAT model has been successfully utilized to analyze the effects of driving forces on various environmental impact [12,15,28,35].”
• 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].”
• Does urbanization cause increasing energy demand in Pakistan? Empirical evidence from STIRPAT model (2017, background): “[15] examined the impact factors of population, economic level, technology level,”