Skip to main content

Advertisement

Log in

Construction safety: an analysis of the cross-influence of economic, construction, and accident death factors

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

Abstract

To explore the relations between the number of accident deaths (NCD) and various factors in construction safety, a multiple linear regression model was established, based on the panel data of economy, construction labor, and the number of accident deaths in 31 provinces (regions) of China from 2009 to 2018. The results show that the average total profits and taxes (TPAT), and the death rate of ten thousand people (DR) are positively correlated with NCD, while the labor productivity (LP) is negatively correlated with it. Under the condition that other factors remain unchanged, NCD increases by 0.02 per a hundred million CNY. However, if DR increases by one ten thousand, NCD will increase by 8.66 on average. On the contrary, when LP increases by a hundred million CNY per ten thousand people, NCD decreases by 0.19. The model also predicts NCD in different provinces and cities from 2019 to 2020 with the method of quadratic exponential smoothing. As well, practice results show that the model is effective and practical.

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 [GENERATED/ANALYZED] for this study can be found in [FigShare] [10.6084/m9.figshare.14479254].

References

Download references

Acknowledgements

The authors would like to acknowledge all colleagues who provided the questionnaire survey for this research, especially Zhenggang Yao, director of New Technology of New Eighth Construction Group Co., Ltd.; and Hui Yang, project manager of Wuhan Construction Engineering Third Construction Co., Ltd.; and Yuqing Cao, Department of Physics, Huazhong University of Science and Technology, for English language support.

Funding

This study was funded by the Key Soft Science Project of Hubei Science and Technology Support Plan (grant numbers 2015BDF006), National Social Science Project of Education Science 2017 (grant numbers BIA170192), and Key Open Fund Project of Hubei Industrial Policy and Management Research Center 2016-17 (grant numbers 17CYZ01).

Author information

Authors and Affiliations

Authors

Contributions

Conceptualization, methodology, writing of original draft preparation, supervision, and funding acquisition, T. Chen; formal analysis, data curation, visualization, and project administration, Z.H. Cao; validation, T. Chen and Z.H. Cao; software, Z.H. Cao and Y.Q. Cao; writing of review and editing, Z.H. Cao and Y.Q. Cao.

Corresponding author

Correspondence to Zhonghong Cao.

Ethics declarations

Conflict of interest

The authors declare no competing interests.

Ethics statement

No animal studies are presented in this manuscript. No human studies are presented in this manuscript. No potentially identifiable human images or data are presented in this study.

Consent for participation

Not applicable

Consent for publication

Not applicable

Additional information

Responsible Editor: Philippe Garrigues

Publisher’s note

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

Appendix

Appendix

Table 1 Index and variable description table
Table 2 Descriptive statistical results
Table 3 Multiple collinearity test
Table 4 Preliminary regression models
Table 5 Unit root test results of panel data (individual intercept and trend)
Table 6 Kao cointegration test results
Table 7 Fixed-effect model
Table 8 Secondary index smoothing method and regression prediction value of Beijing in 2019–2020

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chen, T., Cao, Z. Construction safety: an analysis of the cross-influence of economic, construction, and accident death factors. Environ Sci Pollut Res 28, 65243–65254 (2021). https://doi.org/10.1007/s11356-021-15231-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11356-021-15231-4

Keywords

Navigation