Skip to main content

Advertisement

Log in

The temporal and spatial characteristics and influencing factors of CO2 emissions from municipal solid waste in China

  • Research Article
  • Published:
Environmental Science and Pollution Research Aims and scope Submit manuscript

Abstract

Understanding the temporal and spatial characteristics of carbon dioxide (CO2) emissions from municipal solid waste (MSW) and a quantitative evaluation of the contribution rate of the factors influencing the changes in CO2 emissions are important for pollution and emission reduction and the realization of the “double carbon” goal. This study analyzed the spatial and temporal evolution of waste generation and treatment based on panel data from 31 Chinese provinces over the past 15 years and then applied the logarithmic mean Divisia index (LMDI) model to study the driving factors of CO2 emissions from MSW. China’s MSW production and CO2 emissions displayed a rising trend, and the overall CO2 emissions showed a geographical pattern of being high in the east and low in the west. Carbon emission intensity, economic output, urbanization level, and population size were positive factors that increased CO2 emissions. The most important factors driving CO2 emissions were carbon emission intensity and economic output, with cumulative contribution rates of 55.29% and 47.91%, respectively. Solid waste emission intensity was a negative factor in reducing CO2 emissions, with a cumulative contribution rate of -24.52%. These results have important implications for the design of policies to reduce CO2 emissions from MSW.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Data availability

The data presented in this study are available on request from author.

References

Download references

Funding

This work was supported by the National Natural Science Foundation of China (72274194 and 71904187), the Major Projects Supported by the National Social Science Foundation (19ZDA107), and the Key Projects Supported by the National Social Science Foundation (18AZD014).

Author information

Authors and Affiliations

Authors

Contributions

Feiyu Chen conceived of the presented idea, developed the theory, and performed the computations. Xiao Gu refined the theoretical framework, discussion, and implications. Haimiao Yu supported the study design and data analysis. Xiaolin Zhang revised the initial manuscript as a whole. Yujie Wang supported the study design and data analysis. All authors discussed the theoretical model and results and contributed to the final manuscript.

Corresponding author

Correspondence to Xiao Gu.

Ethics declarations

Ethics approval

Not applicable.

Consent to participate

Not applicable.

Consent for publication

All authors have seen the manuscript and approved to publish.

Competing interests

The authors declare no competing interests.

Additional information

Responsible Editor: V.V.S.S. Sarma

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Feiyu Chen and Xiao Gu are co-first author.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chen, F., Gu, X., Yu, H. et al. The temporal and spatial characteristics and influencing factors of CO2 emissions from municipal solid waste in China. Environ Sci Pollut Res 30, 59540–59553 (2023). https://doi.org/10.1007/s11356-023-26658-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11356-023-26658-2

Keywords

Navigation