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A multi-level characteristic analysis of urban agglomeration energy-related carbon emission: A case study of the Pearl River Delta

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  • Yu, Ying
  • Dai, Yuqi
  • Xu, Linyu
  • Zheng, Hanzhong
  • Wu, Wenhao
  • Chen, Lei

Abstract

Urban agglomeration is identified as the important geographic units of country development while contributing immensely to carbon emission. This paper explored energy-related carbon emission characteristics of the Pearl River Delta (PRD) - the typical urban agglomeration in China, from cities and sectors perspectives. By conducting LMDI model, this paper decomposed carbon emission by sector and by cities to illustrate the key impact factors in the PRD, explored the reasons for the change of driving effects in urban agglomeration in view of regional difference. It concludes that, most cities carbon emission rebound around 2017, while carbon emission sharply decreased. There are differences in key reduction industries in different cities, while production and supply of electric power and transport sector had negative impact on reduction processes in most cities. The significant inhibition effect of energy intensity is mainly attributed to the great decrease of energy intensity in main industries reduction cities, such as Shenzhen, Guangzhou, Dongguan and Foshan. Based on the characteristics of carbon emission and social and economic development of the PRD, this paper puts forward specific suggestions and measures for differentiated emission reduction in urban agglomeration, and provides a new idea for the governance of carbon emission in urban agglomeration.

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  • Yu, Ying & Dai, Yuqi & Xu, Linyu & Zheng, Hanzhong & Wu, Wenhao & Chen, Lei, 2023. "A multi-level characteristic analysis of urban agglomeration energy-related carbon emission: A case study of the Pearl River Delta," Energy, Elsevier, vol. 263(PB).
    • Handle: RePEc:eee:energy:v:263:y:2023:i:pb:s0360544222025373
    DOI: 10.1016/j.energy.2022.125651
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    Cited by:

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    2. Xiao-Yang Li & Tao Chen & Bin Chen, 2023. "Research on the Influencing Factors and Decoupling State of Carbon Emissions in China’s Transportation Industry," Sustainability, MDPI, vol. 15(15), pages 1-14, August.
    3. Ding, Dan & Liu, Xiaoping & Xu, Xiaocong, 2024. "Projecting the future fine-resolution carbon dioxide emissions under the shared socioeconomic pathways for carbon peak evaluation," Applied Energy, Elsevier, vol. 365(C).

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