How population and energy price affect China's environmental pollution?
By Kunming Li, Liting Fang, Lerong He. Energy Policy, 2019
210 citations recorded by the source corpus.
Abstract This paper examines the impact of population and energy price on China's environmental pollution through both industrial and residential channels. Our theoretical models reveal that the influences of population on environmental pollution are contingent on wage stickiness and wage elasticity. We also predict that environment pollution decreases with rising energy price, but downward energy price distortion intensifies environmental pollution. We test these hypotheses using panel data of 30 Chinese provinces from 2001 to 2016 and employing both constant coefficient and time-varying coefficient panel data models to conduct analyses. Our empirical results show that population growth, increased urbanization, and energy price distortion all intensify environmental pollution, while population aging and rising energy price tend to alleviate environmental pollution. Our results also reveal significant regional and time heterogeneity on the impact of population factors and energy price on China's environmental pollution.
Subfields: Economics and Econometrics, Health, Toxicology and Mutagenesis, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/63040ed0032bc3bf6587ae83e178b1a69cb23969
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In Economics and Econometrics
- Avik Sinha
- Tuhin Sengupta
- Rafael Alvarado
- Muhammad Shahbaz
- Arshian Sharif
- Umer Shahzad
- Syed Abdul Rehman Khan
- Olimpia Neagu
In Health, Toxicology and Mutagenesis
In Renewable Energy, Sustainability and the Environment
Citations in the corpus
- Interplay between technological innovation and environmental quality: Formulating the SDG policies for next 11 economies (2020, background): “11 type of energy source are factors that significantly affect the levels of air pollution (Wang et al., 2019; 1 Zeng et al., 2019; Li et al., 2019).”