MODELING LOGISTIC ENTERPRISE RE-LOCATION DECISION BY A NESTED LOGIT MODEL
Y Nguyen Cao ()
Additional contact information
Y Nguyen Cao: Dr.Eng Vietnam-Japan Research and Development Center, Department of Transport Economics,University of Transport and Communications,Cau Giay, No.03 Lang Thuong, Dong Da, Ha Noi, Viet Nam
Regional Science Inquiry, 2021, vol. XIII, issue 1, 49-57
Abstract:
This paper develops a model to analyze decisions regarding the relocation process for logistics enterprise by using nested logit model. In this framework, two decision points in the relocation process are assumed and maintained in the micro-simulation modeling. The first decision, move or non move and the second decision, choosing the destination location. This study applied the relocation decision structure of each logistics enterprise by nested logit model to find out the best model. In case study, the logistics enterprise relocation decision model has acceptable performance by the nested logit model. However, the nested logit model has to follow the IID Gumbel distribution holds within each nest. Therefore, nested logit model cannot take into account the various tastes among alternatives in the random part of utility function to improve the implementation of the model. The results indicate that big logistics enterprises have a lower probability of relocating and the migrating enterprises are more attractive in the zone which has a high accessibility. Finally, the population density, number of employees and the average land prices of zone strongly affect on the relocation decision making process of individual logistics enterprises.
Keywords: Logistics Enterprise; Re-location Decision Model; Nested Logit Model (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.rsijournal.eu/ARTICLES/June_2021/4.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hrs:journl:v:xiii:y:2021:i:1:p:49-57
Access Statistics for this article
Regional Science Inquiry is currently edited by Dr Christos Ap. Ladias
More articles in Regional Science Inquiry from Hellenic Association of Regional Scientists
Bibliographic data for series maintained by Dimitrios K. Kouzas ().