IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i14p8398-d858835.html
   My bibliography  Save this article

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

Author

Listed:
  • Ying Li

    (School of Environment and Energy Engineering, Beijing University of Civil Engineering and Architecture, Beijing 102616, China
    Climate Change Research and Talent Training Base in Beijing, Beijing University of Civil Engineering and Architecture, Beijing 100044, China
    Beijing Energy Conservation & Sustainable Urban and Rural Development Provincial and Ministry Co-Construction Collaboration Innovation Center, 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)

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.

Suggested Citation

  • Ying Li & Sumei Zhang & Chao Liu, 2022. "Research on Greenhouse Gas Emission Characteristics and Emission Mitigation Potential of Municipal Solid Waste Treatment in Beijing," Sustainability, MDPI, vol. 14(14), pages 1-17, July.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8398-:d:858835
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/14/8398/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/14/8398/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ang, B. W., 2005. "The LMDI approach to decomposition analysis: a practical guide," Energy Policy, Elsevier, vol. 33(7), pages 867-871, May.
    2. Kang, Yating & Yang, Qing & Bartocci, Pietro & Wei, Hongjian & Liu, Sylvia Shuhan & Wu, Zhujuan & Zhou, Hewen & Yang, Haiping & Fantozzi, Francesco & Chen, Hanping, 2020. "Bioenergy in China: Evaluation of domestic biomass resources and the associated greenhouse gas mitigation potentials," Renewable and Sustainable Energy Reviews, Elsevier, vol. 127(C).
    3. Cherubini, Francesco & Bargigli, Silvia & Ulgiati, Sergio, 2009. "Life cycle assessment (LCA) of waste management strategies: Landfilling, sorting plant and incineration," Energy, Elsevier, vol. 34(12), pages 2116-2123.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Asif Iqbal & Yasar Abdullah & Abdul Sattar Nizami & Imran Ali Sultan & Faiza Sharif, 2022. "Assessment of Solid Waste Management System in Pakistan and Sustainable Model from Environmental and Economic Perspective," Sustainability, MDPI, vol. 14(19), pages 1-23, October.
    2. Zhitong Yao & Wei Qi & José Luiz Francisco Alves, 2023. "Editorial for the Special Issue on the Environmentally Friendly Management and Treatment of Solid Waste to Approach Zero Waste City," Sustainability, MDPI, vol. 15(1), pages 1-2, January.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sevigné Itoiz, E. & Gasol, C.M & Farreny, R. & Rieradevall, J. & Gabarrell, X., 2013. "CO2ZW: Carbon footprint tool for municipal solid waste management for policy options in Europe. Inventory of Mediterranean countries," Energy Policy, Elsevier, vol. 56(C), pages 623-632.
    2. Chen, Huadun & Du, Qianxi & Huo, Tengfei & Liu, Peiran & Cai, Weiguang & Liu, Bingsheng, 2023. "Spatiotemporal patterns and driving mechanism of carbon emissions in China's urban residential building sector," Energy, Elsevier, vol. 263(PE).
    3. Zhang, Shulin & Su, Xiaoling & Singh, Vijay P & Ayantobo, Olusola Olaitan & Xie, Juan, 2018. "Logarithmic Mean Divisia Index (LMDI) decomposition analysis of changes in agricultural water use: a case study of the middle reaches of the Heihe River basin, China," Agricultural Water Management, Elsevier, vol. 208(C), pages 422-430.
    4. Shi, Yi & Deng, Yawen & Wang, Guoan & Xu, Jiuping, 2020. "Stackelberg equilibrium-based eco-economic approach for sustainable development of kitchen waste disposal with subsidy policy: A case study from China," Energy, Elsevier, vol. 196(C).
    5. Lu, I.J. & Lin, Sue J. & Lewis, Charles, 2007. "Decomposition and decoupling effects of carbon dioxide emission from highway transportation in Taiwan, Germany, Japan and South Korea," Energy Policy, Elsevier, vol. 35(6), pages 3226-3235, June.
    6. Jacopo Zotti & Andrea Bigano, 2019. "Write circular economy, read economy’s circularity. How to avoid going in circles," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 36(2), pages 629-652, July.
    7. Ronald E. Miller & Umed Temurshoev, 2017. "Output Upstreamness and Input Downstreamness of Industries/Countries in World Production," International Regional Science Review, , vol. 40(5), pages 443-475, September.
    8. Trotta, Gianluca, 2020. "Assessing energy efficiency improvements and related energy security and climate benefits in Finland: An ex post multi-sectoral decomposition analysis," Energy Economics, Elsevier, vol. 86(C).
    9. GUPTA Monika, 2019. "Decomposing The Role Of Different Factors In Co2 Emissions Increase In South Asia," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 14(1), pages 72-86, April.
    10. de Freitas, Luciano Charlita & Kaneko, Shinji, 2011. "Decomposition of CO2 emissions change from energy consumption in Brazil: Challenges and policy implications," Energy Policy, Elsevier, vol. 39(3), pages 1495-1504, March.
    11. Linghua Qiu & Junhao He & Chao Yue & Philippe Ciais & Chunmiao Zheng, 2024. "Substantial terrestrial carbon emissions from global expansion of impervious surface area," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    12. Wang, Miao & Feng, Chao, 2017. "Analysis of energy-related CO2 emissions in China’s mining industry: Evidence and policy implications," Resources Policy, Elsevier, vol. 53(C), pages 77-87.
    13. Zhen, Wei & Qin, Quande & Wei, Yi-Ming, 2017. "Spatio-temporal patterns of energy consumption-related GHG emissions in China's crop production systems," Energy Policy, Elsevier, vol. 104(C), pages 274-284.
    14. Román-Collado, Rocío & Colinet, María José, 2018. "Are labour productivity and residential living standards drivers of the energy consumption changes?," Energy Economics, Elsevier, vol. 74(C), pages 746-756.
    15. Mohlin, Kristina & Camuzeaux, Jonathan R. & Muller, Adrian & Schneider, Marius & Wagner, Gernot, 2018. "Factoring in the forgotten role of renewables in CO2 emission trends using decomposition analysis," Energy Policy, Elsevier, vol. 116(C), pages 290-296.
    16. Hwang, In Chang, 2013. "Stochastic Kaya model and its applications," MPRA Paper 55099, University Library of Munich, Germany.
    17. Nabavi-Pelesaraei, Ashkan & Azadi, Hossein & Van Passel, Steven & Saber, Zahra & Hosseini-Fashami, Fatemeh & Mostashari-Rad, Fatemeh & Ghasemi-Mobtaker, Hassan, 2021. "Prospects of solar systems in production chain of sunflower oil using cold press method with concentrating energy and life cycle assessment," Energy, Elsevier, vol. 223(C).
    18. Zheng, Jiali & Mi, Zhifu & Coffman, D'Maris & Milcheva, Stanimira & Shan, Yuli & Guan, Dabo & Wang, Shouyang, 2019. "Regional development and carbon emissions in China," Energy Economics, Elsevier, vol. 81(C), pages 25-36.
    19. Congxin Li & Xu Zhang, 2022. "The Influencing Mechanisms on Global Industrial Value Chains Embedded in Trade Implied Carbon Emissions from a Higher-Order Networks Perspective," Sustainability, MDPI, vol. 14(22), pages 1-38, November.
    20. Ouyang, Xiaoling & Lin, Boqiang, 2015. "An analysis of the driving forces of energy-related carbon dioxide emissions in China’s industrial sector," Renewable and Sustainable Energy Reviews, Elsevier, vol. 45(C), pages 838-849.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8398-:d:858835. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.