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Article

Bayesian Vector Autoregression Analysis of Chinese Coal-Fired Thermal Power Plants

by
Ning Zhang
1,2 and
Haisheng Li
3,*
1
Department of Economics, College of Economics, Jinan University, Guangzhou 510632, China
2
Institute of Blue and Green Development, Shandong University, Weihai 264200, China
3
Institute of Finance, College of Economics, Jinan University, Guangzhou 510632, China
*
Author to whom correspondence should be addressed.
Sustainability 2024, 16(19), 8447; https://doi.org/10.3390/su16198447
Submission received: 4 August 2024 / Revised: 13 September 2024 / Accepted: 26 September 2024 / Published: 27 September 2024

Abstract

Considering the dataset of information related to Chinese coal-fired thermal power plants during the 2005–2017 period, we initially investigated the orthogonalized response of the carbon emission to energy consumption and power generation by using Bayesian vector autoregressions and feedback solutions for impulse control technology. The results showed that the effects of energy consumption and power generation on carbon emissions were significant. The Chinese government has launched a program aimed at curbing carbon emission peaks and neutralizing or decreasing carbon emissions. The causal relationship concludes that China still needs further investment in emission abatement, improvement related to the level of openness to the outside world, and the strengthening of the construction of green zones for industrial transfer to mitigate carbon emissions.
Keywords: energy; growth; emissions energy; growth; emissions

Share and Cite

MDPI and ACS Style

Zhang, N.; Li, H. Bayesian Vector Autoregression Analysis of Chinese Coal-Fired Thermal Power Plants. Sustainability 2024, 16, 8447. https://doi.org/10.3390/su16198447

AMA Style

Zhang N, Li H. Bayesian Vector Autoregression Analysis of Chinese Coal-Fired Thermal Power Plants. Sustainability. 2024; 16(19):8447. https://doi.org/10.3390/su16198447

Chicago/Turabian Style

Zhang, Ning, and Haisheng Li. 2024. "Bayesian Vector Autoregression Analysis of Chinese Coal-Fired Thermal Power Plants" Sustainability 16, no. 19: 8447. https://doi.org/10.3390/su16198447

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