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Changes to pollutants and carbon emission multipliers in China 2007–2012: An input-output structural decomposition analysis

  • Beijing Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

This study performed an input-output structural decomposition analysis on changes in COD, ammonia nitrogen, SO2, NOx, soot and dust, industrial solid waste, and CO2 emission multipliers for 41 final products over the period 2007–2012 in China. The results show that during the examined period, emission multipliers were, in general, decreasing. The main driver of this was technical effects. The effects that made a significant contribution were concentrated in eight sectors: coal mining and washing; metals mining and quarrying; food and tobacco products; paper printing manufacturing; the chemical industry; non-metallic mineral products; metal smelting and rolling processing; and electricity, heat production, and supply. Moreover, the technical effects presented an obvious spillover. Although the contribution of the structural effects was far less than the technical ones, there were still some structural adjustments that led to significant synergistic mitigation. For example, the decrease in the direct demand of the agriculture products, electricity, and heat for food and tobacco products commonly reduced SO2, NOx, and CO2. In addition, four technical effects and most of the structural effects with high efficiency made small contributions. More than one third of the structural effects that showed obvious contributions played a positive role.

Original languageEnglish
Pages (from-to)76-86
Number of pages11
JournalJournal of Environmental Management
Volume203
DOIs
Publication statusPublished - 1 Dec 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

Keywords

  • Carbon emissions
  • China
  • Input-output
  • Pollutant
  • Structural decomposition analysis

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