Survival Analysis of Logistics Service Providers: An Empirical Study of Chengdu, Area in China - Open Journal of Statistics

OJS > Vol.10 No.6, December 2020

Open Journal of Statistics

Volume 10, Issue 6 (December 2020)

ISSN Print: 2161-718X ISSN Online: 2161-7198

Google-based Impact Factor: 0.53 Citations

Survival Analysis of Logistics Service Providers: An Empirical Study of Chengdu, Area in China ()

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DOI: 10.4236/ojs.2020.106054 437 Downloads 1,599 Views Citations

Author(s)

Guoqi Li^1,2,3, Yihuan Tu¹, Lihao Duan^1,2,3, Jin Zhang^1,2,3, Lei Huang⁴, Wanshan Wu^1,2, Zhuoshi Lv^1*

Affiliation(s)

¹School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, Sichuan, China.
²National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Chengdu, China.
³National United Engineering Laboratory of Integrated and Intelligent Transportation, Chengdu, China.
⁴School of Mathematics, Southwest Jiaotong University, Chengdu, China.

ABSTRACT

This paper worked on a sample of 6791 logistics establishments registered in Chengdu, China over the period 1984-2016 to understand the survival status of logistics service providers (LSPs) by non-parametric Kaplan-Meier estimation, together with Cox proportional hazard regression model, to identify factors affecting the failure of LSPs. In particular, it studies the interaction effect between LSPs’ size and entry timing and location. The empirical results show that: 1) Regarding the survival time, 1365 of the 6791 sample LSPs exited from the market by 2017. The exit rate is 20.1%, and the average life of the 6791 LSPs is about 6 years. 2) The survival of LSPs depends on their typology, ownership structure. And there is no significant difference in the probability of survival for both independent LSPs and logistics branches after controlling the effects of other variables. 3) Location and entry timing also play an important role in the survival of small-scale LSPs, but these factors cannot explain large-scale LSPs’ failure.

KEYWORDS

Logistics Service Providers, Survival Analysis, Kaplan-Meier Estimation, Cox Proportional Hazard Regression

Share and Cite:

Li, G. , Tu, Y. , Duan, L. , Zhang, J. , Huang, L. , Wu, W. and Lv, Z. (2020) Survival Analysis of Logistics Service Providers: An Empirical Study of Chengdu, Area in China. Open Journal of Statistics, 10, 915-935. doi: 10.4236/ojs.2020.106054.

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