FACTORS AFFECTING ON URBAN LOCATION CHOICE DECISIONS OF ENTERPRISES

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, 217-224

Abstract: This paper focuses on analyzing the origin data source to find out the principle motives and preferences which influence the location choice behaviors of individual firms in Tokyo metropolitan area. A modeling framework is developed to analyze decisions regarding location choice for enterprises using a multinomial logit model. In case study, the proposed model is tested for retailers, wholesalers, warehouses and manufacturers. The results indicate that for choosing a location, the number of employees is a more important determinant for manufacturers and warehouses than that for retailers and wholesalers. Additionally, the results indicate that transportation cost and the land prices in a given zone strongly affect the decision making process of all the firms in the metropolitan area.

Keywords: Multinomial Logit Model; Location Decision Behavior; Location Choice Model (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://www.rsijournal.eu/ARTICLES/June_2021/15.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:217-224

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 ().