Interrelationships among key profit factors of Vietnamese residential projects using structural equation modeling

This study aims to examine profit factors and their interrelationships to help real estate companies make effective project development decisions. The analysis results from questionnaire responses in 75 real estate companies, located in Ho Chi Minh City, Viet Nam, confirm five key profit factors w...

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Main Authors: Nghia Hoai Nguyen, Thanwadee Chinda
Format: Article
Language:English
Published: Prince of Songkla University 2018-04-01
Series:Songklanakarin Journal of Science and Technology (SJST)
Subjects:
Online Access:http://rdo.psu.ac.th/sjstweb/journal/40-2/40-2-29.pdf
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spelling doaj-cc753bbfec26427fac195aefc5cc1f9c2020-11-24T22:18:07ZengPrince of Songkla UniversitySongklanakarin Journal of Science and Technology (SJST)0125-33952018-04-0140246747410.14456/sjst-psu.2018.49Interrelationships among key profit factors of Vietnamese residential projects using structural equation modelingNghia Hoai Nguyen0Thanwadee Chinda1School of Management Technology, Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, 12000 ThailandSchool of Management Technology, Sirindhorn International Institute of Technology, Thammasat University, Pathum Thani, 12000 ThailandThis study aims to examine profit factors and their interrelationships to help real estate companies make effective project development decisions. The analysis results from questionnaire responses in 75 real estate companies, located in Ho Chi Minh City, Viet Nam, confirm five key profit factors with 16 associated variables. Interrelationships among the key profit factors were also investigated through a structural equation modeling. The variables, including population, income, transaction rate, construction cost, and construction loan’s interest rate variables, were found crucial in developing a profit enhancement plan. Strong relationships among five key profit factors were also discovered. The housing finance factor, for example, has a strong positive relationship with the housing supply factor, but a negative relationship with the buyer capacity factor. The study results help real estate companies to better understand the profit factors, and make a better profit improvement plan.http://rdo.psu.ac.th/sjstweb/journal/40-2/40-2-29.pdfHo Chi Minh Cityprofitresidential projectsstructural equation modeling
collection DOAJ
language English
format Article
sources DOAJ
author Nghia Hoai Nguyen
Thanwadee Chinda
spellingShingle Nghia Hoai Nguyen
Thanwadee Chinda
Interrelationships among key profit factors of Vietnamese residential projects using structural equation modeling
Songklanakarin Journal of Science and Technology (SJST)
Ho Chi Minh City
profit
residential projects
structural equation modeling
author_facet Nghia Hoai Nguyen
Thanwadee Chinda
author_sort Nghia Hoai Nguyen
title Interrelationships among key profit factors of Vietnamese residential projects using structural equation modeling
title_short Interrelationships among key profit factors of Vietnamese residential projects using structural equation modeling
title_full Interrelationships among key profit factors of Vietnamese residential projects using structural equation modeling
title_fullStr Interrelationships among key profit factors of Vietnamese residential projects using structural equation modeling
title_full_unstemmed Interrelationships among key profit factors of Vietnamese residential projects using structural equation modeling
title_sort interrelationships among key profit factors of vietnamese residential projects using structural equation modeling
publisher Prince of Songkla University
series Songklanakarin Journal of Science and Technology (SJST)
issn 0125-3395
publishDate 2018-04-01
description This study aims to examine profit factors and their interrelationships to help real estate companies make effective project development decisions. The analysis results from questionnaire responses in 75 real estate companies, located in Ho Chi Minh City, Viet Nam, confirm five key profit factors with 16 associated variables. Interrelationships among the key profit factors were also investigated through a structural equation modeling. The variables, including population, income, transaction rate, construction cost, and construction loan’s interest rate variables, were found crucial in developing a profit enhancement plan. Strong relationships among five key profit factors were also discovered. The housing finance factor, for example, has a strong positive relationship with the housing supply factor, but a negative relationship with the buyer capacity factor. The study results help real estate companies to better understand the profit factors, and make a better profit improvement plan.
topic Ho Chi Minh City
profit
residential projects
structural equation modeling
url http://rdo.psu.ac.th/sjstweb/journal/40-2/40-2-29.pdf
work_keys_str_mv AT nghiahoainguyen interrelationshipsamongkeyprofitfactorsofvietnameseresidentialprojectsusingstructuralequationmodeling
AT thanwadeechinda interrelationshipsamongkeyprofitfactorsofvietnameseresidentialprojectsusingstructuralequationmodeling
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