The Impact of COVID-19 on Logistics in Context of Regression Analysis

Authors

  • Zhengyang Qiu
  • Moziyan Zhang
  • Ruoye Zhang

DOI:

https://doi.org/10.54691/bcpbm.v38i.3838

Keywords:

covid-19; LPI; linear regression; Logistics.

Abstract

Since 2020, the epidemic has significantly affected China’s development in several different areas. As a result of the epidemic’s shifting circumstances, numerous industries have seen diverse transformations. On the other hand, the logistics sector has grown as a result of the epidemic, for instance, as consumers rely increasingly on e-commerce platforms for their purchasing. Still, it has also been impacted by national legislation. This study examines the relationship between several logistics indicators and the number of new cases added to the epidemic in order to provide an overview of the logistics industry’s growth process in the context of the epidemic (reflecting the changes in the epidemic). In this research, some indicators that mainly reflect the overall efficiency of logistics during the epidemic (e.g., LPI, Storage index, E-Logistics index, and Freight rate, as well as the number of new and accumulated confirmed cases of the epidemic), were collected and collated to represent the trend of the epidemic, and correlation and comparative analysis were conducted to obtain the specific consequences of COVID-19 on the logistics industry. A typical example is isolation control which results in a dramatic decline in the freight volume of road transportation. These results can help the logistics industry to determine the development direction and plan under the epidemic and find the development trend of the overall market through this paper.

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Published

2023-03-02

How to Cite

Qiu, Z., Zhang, M., & Zhang, R. (2023). The Impact of COVID-19 on Logistics in Context of Regression Analysis. BCP Business & Management, 38, 1138-1144. https://doi.org/10.54691/bcpbm.v38i.3838