Consumption-based emissions at city level in China and the spatial heterogeneity analysis of the influential factors

Yuan Wang, Zhou Pan, Lanxin Zhang, Yaling Lu, Zengkai Zhang, Jingzheng Ren

Research output: Journal article publicationJournal articleAcademic researchpeer-review

4 Citations (Scopus)


It is of great significance to identify the critical influential factors of pollutant emissions for emission mitigation. However, city disparity implies different priorities for regional mitigation. This study aims to estimate the consumption-based emissions of 309 prefecture-level cities in China based on the multi-region input–output table and the sectoral NOx emission inventory and investigate the emission transfer phenomenon among cities and sectors. In addition, a geographically weighted regression method is used to analyze the spatial heterogeneity in the driving factors of regional consumption-based emissions. The results reveal that the top 10 cities in consumption-based emissions account for 25.2% of emissions and contribute 22.6% to GDP. The consumption-based emissions are mainly driven by local demand (72.79%) at the regional level and by construction activities (94.43%) at the sectoral level. Besides, the results also show the spatial variances in contributions of driving forces to consumption-based emissions. Economic growth has been identified as the most important factor which promotes consumption-based emissions. However, disposable personal income, per capita road area, urbanization, and percentage of tertiary industry GDP are conducive to reduce consumption-based emissions in some cities of China. It could be concluded that policies without consideration of the emissions from a consumption perspective are difficult to achieve effective emission reduction.

Original languageEnglish
Pages (from-to)28961-28974
Number of pages14
JournalEnvironmental Science and Pollution Research
Issue number11
Publication statusPublished - Mar 2023


  • Air pollutants
  • Consumption-based emissions
  • Geographically weighted regression (GWR)
  • Multi-region input–output model (MRIO)
  • Spatial heterogeneity

ASJC Scopus subject areas

  • Environmental Chemistry
  • Pollution
  • Health, Toxicology and Mutagenesis


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