Skip to main content

Spear-Man Correlation Data Analysis of Scale of Intelligent Logistics and Investment and Financing of Logistics Technology

  • Conference paper
  • First Online:
Advances in Computer Science for Engineering and Education VI (ICCSEEA 2023)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 181))

  • 440 Accesses

Abstract

In recent years, with the development of technologies such as the Internet and artificial intelligence, as well as higher requirements of new retail and intelligent manufacturing, the market scale of intelligent logistics in our country continues to expand. At the same time, the development prospect of intelligent logistics has been favored by social capital of all parties, and the amount of investment and financing in China's logistics technology is on the rise. Whether there is a correlation between the scale of intelligent logistics and the investment and financing of logistics technology is very important for promoting logistics to enter the smart age and seeking the opportunity of listing in the logistics industry in the future. To solve this problem, This paper firstly collects and collates the data of the scale of intelligent logistics and the amount of investment and financing in logistics technology, and then uses spear man data analysis to explore the correlation between them, finally proposes to promote the diversified development of various subdivided fields of logistics technology, closely grasp the three mainstream fields of investment and financing, and combine the Internet, big data and artificial intelligence to promote the digitized process of logistics.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Qian, H.-M., He, J., Guan, J.: Research on the coupling effect evaluation of Intelligent + Sharing Logistics. China Bus. Market (11), 3–16 (2019). (in Chinese)

    Google Scholar 

  2. Wang, T.: Internet of things and big data in smart logistics. In: Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022), pp. 1265–1271 (2022)

    Google Scholar 

  3. Wang, Z.: Smart Logistics Is needed by urbanization. China Bus. Market 3, 4–8 (2014). (in Chinese)

    Google Scholar 

  4. Qi, J.: Research on the development status and improvement countermeasures of intelligent logistics integration. Transport. Manager World 20, 50–52 (2022). (in Chinese)

    Google Scholar 

  5. Yang, H., Ding, C.: Analysis of problems and countermeasures faced by logistics financial talent training in the context of smart logistics. Logist. Technol. 45(11), 164–166 (2022). (in Chinese)

    Google Scholar 

  6. Dong, H.: Discussion on the application mode of smart logistics based on big data. China Logist. Procurem. 20, 72–73 (2022). (in Chinese)

    Google Scholar 

  7. Alexandra, L., Chiara, C., Roberto, P., Sergio, C.: 5G in Logistics 4.0: potential applications and challenges. Procedia Comput. Sci. (217), 650–659 (2023)

    Google Scholar 

  8. Bi, Y.: Smart logistics + AI technology drives the transformation of the logistics industry. China’s Storage Transport. 08, 142–143 (2020). (in Chinese)

    Google Scholar 

  9. Zhou, X., Hu, Y.: Research on the development of intelligent logistics platform based on blockchain technology. Logistics Eng. Manage. 24–26 (2022)

    Google Scholar 

  10. Ya, Y.: Research on the application of internet of things in smart logistics management. China Logist. Procurem. (06), 93–94 (2022). (in Chinese)

    Google Scholar 

  11. Hao, S.: Research on the development of green and smart logistics distribution in the Guangdong-Hong Kong-Macao greater bay area. Logist. Technol. 45(15), 37–41 (2022). (in Chinese)

    Google Scholar 

  12. Benotmane, Z., Belalem, G., Neki, A.: A cost measurement system of logistics process. Int. J. Inform. Eng. Electron. Bus. 10(5), 23–29 (2018)

    Google Scholar 

  13. Strelnytskyi, O.O., Svyd, I.V., Obod, I.I., Maltsev, O.S., Zavolodko, G.E.: Optimization of secondary surveillance radar data processing. Int. J. Intell. Syst. Appl. 11(5), 1–8 (2019)

    Google Scholar 

  14. Jagadesh, B.N., Srinivasa Rao, K., Satyanarayana, C.: A robust skin colour segmentation using bivariate pearson type iiαα (bivariate beta) mixture model. Int. J. Image Graph. Signal Process. 4(11), 1–8 (2012)

    Google Scholar 

  15. Lemmer, H.H.: The allocation of weights in the calculation of batting and bowling performance measures. South African J. Res. Sport Phys. Educ. Recreat. 29(2), 75–85 (2007)

    Article  MathSciNet  Google Scholar 

  16. Dey, P.K., Ghosh, D.N., Mondal, A.C.: PL team performance analysis: a multi-criteria group decision approach in fuzzy environment. Int. J. Inform. Technol. Comput. Sci. 7(8), 8–15 (2015)

    Google Scholar 

  17. Joanna, R., Andrzej, N., Piotr, H., Ewa, D.: Application of Spearman’s method for the analysis of the causes of long-term post-failure downtime of city buses. Appl. Sci. 12(6), 2921 (2022)

    Article  Google Scholar 

  18. Jie, T.M.R., He, K.K.: Ultrasound measurements of rectus femoris and locomotor outcomes in patients with spinal cord injury. Life 12(7), 1073–1073 (2022)

    Google Scholar 

  19. Irina, K., Asta, P., Ginas, C., Aldona, A., Berita, S., Ramunas, K.: The Impact of achievements in Mathematics on cognitive ability in primary school. Brain Sci. 12(6), 736–736 (2022)

    Google Scholar 

  20. Nurul, F.A., Immanuel, M., Nur, H.: The correlation between sedentary lifestyle and physical fitness level in adolescents. Enfermería Clínica 31(5), S668–S671 (2021)

    Google Scholar 

  21. Du, H., Sun, L., Chen, S., et al.: Noninvasive prenatal prediction of fetal haplotype with Spearman rank correlation analysis model. Mol. Genet. Genomic Med. 10(8), 1988 (2022)

    Google Scholar 

  22. Andréas, H., Alfonso, V.: The Kendall and Spearman rank correlations of the bivariate skew normal distribution. Scand. J. Stat. 49(4), 1669–1698 (2022)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ni Cheng .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Cheng, N., Lei, M. (2023). Spear-Man Correlation Data Analysis of Scale of Intelligent Logistics and Investment and Financing of Logistics Technology. In: Hu, Z., Dychka, I., He, M. (eds) Advances in Computer Science for Engineering and Education VI. ICCSEEA 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 181. Springer, Cham. https://doi.org/10.1007/978-3-031-36118-0_4

Download citation

Publish with us

Policies and ethics