Spatial network analysis of carbon emissions from the electricity sector in China

Zhen Xiang Wei, Yang Yang He, Guo Quan Liu, P. Zhou*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

88 Citations (Scopus)

Abstract

This paper constructs a spatial association network of carbon emissions from the electricity sector in Chinese provinces by using an improved gravity model and the data on carbon emissions in 2005–2016 from the electricity sector. Social network analysis and the quadratic assignment procedure were used to analyse spatial association characteristics and influential factors. It is found that the overall structure of the carbon emission spatial network in China's electricity sector was relatively stable and provinces were closely linked. Shanghai, Jiangsu, Tianjin, Beijing and Zhejiang all played a leading role in the network centre position. Spatial adjacency relationships and per capita GDP were positively correlated with carbon emissions from the electricity sector, but electricity intensity and industrial structure were negatively correlated. Urbanisation level does not affect the spatial correlation network of carbon emissions from electricity sector. Based on the results, some policy recommendations are finally made for reducing the carbon emissions from the electricity sector in China.

Original languageEnglish
Article number121193
JournalJournal of Cleaner Production
Volume262
DOIs
Publication statusPublished - 20 Jul 2020

Keywords

  • Carbon emissions
  • Electricity sector
  • Social network analysis
  • Spatial correlation

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