Research on Greenhouse Gas Emission Characteristics and Emission Mitigation Potential of Municipal Solid Waste Treatment in Beijing

Ying Li, Sumei Zhang and Chao Liu
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Ying Li: School of Environment and Energy Engineering, Beijing University of Civil Engineering and Architecture, Beijing 102616, China
Sumei Zhang: School of Environment and Energy Engineering, Beijing University of Civil Engineering and Architecture, Beijing 102616, China
Chao Liu: School of Environment and Energy Engineering, Beijing University of Civil Engineering and Architecture, Beijing 102616, China

Sustainability, 2022, vol. 14, issue 14, 1-17

Abstract: Greenhouse gas (GHG) emissions are a significant cause of climate change, and municipal solid waste (MSW) is an important source of GHG emissions. In this study, GHG emissions from MSW treatment in Beijing during 2006–2019 were accounted, basing on the Intergovernmental Panel on Climate Change (IPCC) inventory model; the influencing factors affecting GHG emissions were analyzed by the logarithmic mean Divisia index (LMDI) model combined with the extended Kaya identity, and the GHG mitigation potential were explored based on different MSW management policy contexts. The results showed that the GHG emissions from MSW treatment in Beijing increased from 3.62 Mt CO 2 e in 2006 to 6.57 Mt CO 2 e in 2019, with an average annual growth rate (AAGR) of 4.68%, of which 89.34–99.36% was CH 4 . Moreover, the driving factors of GHG emissions from MSW treatment were, in descending order: economic output (EO), GHG emission intensity (EI), population size (P), and urbanization rate (U). The inhibiting factors were, in descending order: MSW treatment pattern (TP) and MSW treatment intensity (TI). Furthermore, compared with the BAU (business–as–usual) scenario, the GHG mitigation potential of the MSW classification and the population control scenario were 35.79% and 0.51%, respectively, by 2030.

Keywords: municipal solid waste treatment; greenhouse gas emission; emission reduction potential; scenario analysis; Beijing (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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