A study on the spatial and temporal evolution of carbon emission efficiency in China's provincial power industry

Authors

  • Pengbo Qian
  • Huanqi Li
  • Shiyu Feng

DOI:

https://doi.org/10.54097/hset.v50i.8547

Keywords:

component, power industry, carbon efficiency, SBM model, Moran index, spatial correlation analysis.

Abstract

Promoting the low carbon development of the power industry is an essential path for China to achieve the “3060” dual carbon goal. This paper uses the SBM model and the Moran index to construct a carbon emission efficiency assessment system that meets the requirements of a high proportion of renewable energy access in China. The spatial and temporal evolution and correlation of the carbon emission efficiency of the power industry in 29 provinces in China were analyzed. The results show that the carbon efficiency of China's power industry has been increasing year by year since the 13th Five-Year Plan, and the overall pattern is that the periphery has led to the gradual development of the center, while the Yangtze River Delta and Northeast China show a clear spatial correlation, with prominent policy and technology spillovers. The results may provide scientific guidance for efficiency improvements in each region.

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References

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Published

21-05-2023

How to Cite

Qian, P., Li, H., & Feng, S. (2023). A study on the spatial and temporal evolution of carbon emission efficiency in China’s provincial power industry. Highlights in Science, Engineering and Technology, 50, 258-266. https://doi.org/10.54097/hset.v50i.8547