TITLE:
Survival Analysis of Logistics Service Providers: An Empirical Study of Chengdu, Area in China
AUTHORS:
Guoqi Li, Yihuan Tu, Lihao Duan, Jin Zhang, Lei Huang, Wanshan Wu, Zhuoshi Lv
KEYWORDS:
Logistics Service Providers, Survival Analysis, Kaplan-Meier Estimation, Cox Proportional Hazard Regression
JOURNAL NAME:
Open Journal of Statistics,
Vol.10 No.6,
December
2,
2020
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.