Examining the relationship between locational preferences and property prices using hedonic model : case study : Johor Bahru

Examining the relationship between locational preferences and property prices using hedonic model : case study : Johor Bahru

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Main Author: Lim, Mei Keng
Format: Thesis
Published: 2009
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id my-utm-ep.18306
record_format uketd_dc
spelling my-utm-ep.183062011-11-18T04:33:05Z Examining the relationship between locational preferences and property prices using hedonic model : case study : Johor Bahru 2009-00 Lim, Mei Keng Unspecified 2009-00 Thesis http://eprints.utm.my/id/eprint/18306/ masters Universiti Teknologi Malaysia, Faculty of Geoinformation Science And Engineering Faculty of Geoinformation Science And Engineering
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
topic Unspecified
spellingShingle Unspecified
Lim, Mei Keng
Examining the relationship between locational preferences and property prices using hedonic model : case study : Johor Bahru
description
format Thesis
qualification_level Master's degree
author Lim, Mei Keng
author_facet Lim, Mei Keng
author_sort Lim, Mei Keng
title Examining the relationship between locational preferences and property prices using hedonic model : case study : Johor Bahru
title_short Examining the relationship between locational preferences and property prices using hedonic model : case study : Johor Bahru
title_full Examining the relationship between locational preferences and property prices using hedonic model : case study : Johor Bahru
title_fullStr Examining the relationship between locational preferences and property prices using hedonic model : case study : Johor Bahru
title_full_unstemmed Examining the relationship between locational preferences and property prices using hedonic model : case study : Johor Bahru
title_sort examining the relationship between locational preferences and property prices using hedonic model : case study : johor bahru
granting_institution Universiti Teknologi Malaysia, Faculty of Geoinformation Science And Engineering
granting_department Faculty of Geoinformation Science And Engineering
publishDate 2009
_version_ 1747815243010015232

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