Skip to main content

Advertisement

Log in

Evaluation and optimization of a circular economy model integrating planting and breeding based on the coupling of emergy analysis and life cycle assessment

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

Abstract

The sustainable development of agriculture is facing problems such as high resource consumption and serious environmental pollution. The development of the circular economy model integrating planting and breeding (CEMIPB) has become an effective way to realize the sustainable development of agriculture. Due to the great difference of natural resource attributes in different regions of China, CEMIPB shows diverse characteristics on the whole. Based on this, this paper constructs a coupling model based on emergy analysis (EMA) and life cycle assessment (LCA) called EM-LCA model and conducts an empirical analysis using a typical CEMIPB in Fujian Province, China, as a case. By comparing the results of the EM-LCA and EMA models, the former effectively compensates for the deficiencies of the latter in terms of economic and environmental impact assessment, and the evaluation results can better reflect the actual situation of the system. Furthermore, sensitivity analysis is introduced to identify key processes and substances. Based on the reduce–reuse–recycle (3R) principle, several optimization suggestions, such as reducing the input of corn and veterinary drugs, are put forward. The construction of the aforementioned methodology system can provide a new perspective for research in similar fields and provide a scientific basis for local government decision making.

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

Similar content being viewed by others

Data availability

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

Download references

Funding

This research is supported by the National Key R&D Plan (2019YFC1908100), National Natural Science Foundation (71974116), Shandong Natural Science Foundation (ZR2019MG009), and Shandong Province Social Science Planning Research Project (20CGLJ13), Taishan Scholar Project (tsqn202103010).

Author information

Authors and Affiliations

Authors

Contributions

Qingsong Wang: investigation, conceptualization, methodology, data curation, formal analysis, writing — original draft, visualization, and writing — review and editing. Yujie Zhang: visualization and writing — review and editing. Shu Tian: conceptualization, methodology, data curation, formal analysis, and writing — review and editing. Xueliang Yuan: data curation and visualization. Qiao Ma: conceptualization and methodology. Mengyue Liu: investigation. Yue Li and Jixiang Liu: investigation.

Corresponding author

Correspondence to Xueliang Yuan.

Ethics declarations

Ethical approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Responsible Editor: Philippe Garrigues

Publisher’s note

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

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, Q., Zhang, Y., Tian, S. et al. Evaluation and optimization of a circular economy model integrating planting and breeding based on the coupling of emergy analysis and life cycle assessment. Environ Sci Pollut Res 28, 62407–62420 (2021). https://doi.org/10.1007/s11356-021-15101-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11356-021-15101-z

Keywords

Navigation