EconPapers    
Economics at your fingertips  
 

Determinants of Potential Seller/Lessee Benefits in Sale¡VLeaseback Transactions

Noriko Ashiya ()
Additional contact information
Noriko Ashiya: Meikai University

International Real Estate Review, 2015, vol. 18, issue 1, 89-112

Abstract: The purpose of this paper is twofold. First, it formulates a model to explore the criteria for making decisions on sale-leaseback (SLB) actions, which can be an alternative to off-balance-sheet financing. The theoretical findings show that the knowledge of the buyer/lessor of low-cost property management is a primary factor in favor of SLB, which is in line with previous studies. Secondly, it quantifies this factor to explore the possible application of SLB schemes to Japanese public real estate (PRE) markets. The validity of this quantification method is also shown by using data from a tax-exempt Japanese PRE portfolio. The empirical findings of ANOVA and multiple comparison tests suggest that if we only have cost information and know the age of the buildings on the property, we can make decisions with regard to SLB actions; these findings reveal an institutional environment that is unique to Japan.

Keywords: Sale-Leaseback; Public Real Estate; Accounting Change; User Cost; Public-private Partnership (search for similar items in EconPapers)
JEL-codes: L85 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.gssinst.org/irer/wp-content/uploads/20 ... ack-transactions.pdf Full text (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:ire:issued:v:18:n:01:2015:p:89-112

Ordering information: This journal article can be ordered from
Global Social Science Institute, 9200 Corporate Blvd., Suite 420 Rockville, MD 20850
https://www.gssinst.org/gssinst/index.html

Access Statistics for this article

International Real Estate Review is currently edited by Professor Sing Tien Foo and Professor Ko Wang

More articles in International Real Estate Review from Global Social Science Institute Global Social Science Institute, 9200 Corporate Blvd., Suite 420 Rockville, MD 20850.
Bibliographic data for series maintained by IRER Graduate Assistant/Webmaster ().

 
Page updated 2025-03-19
Handle: RePEc:ire:issued:v:18:n:01:2015:p:89-112