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dc.contributorFaculty of Construction and Environmenten_US
dc.contributor.advisorHui, Eddie (BRE)-
dc.creatorZeng, Yucheng-
dc.publisherHong Kong Polytechnic University-
dc.rightsAll rights reserveden_US
dc.titleEvaluation of real estate investment environment of 100 cities in China based on structure equation modelen_US
dcterms.abstractNowadays, real estate industry plays an important role in the national economy in China, and is in a transition phase. Slowing the growth of real estate development creates a huge challenge to developers. Therefore how to select the city with a great real estate investment environment to decrease the investment risk became an important problem for developers. This study will focus on establishing a quantitative analysis system to evaluate the 100 cities real estate investment environment based on the Structure Equation Model (SEM). To establish a scientific SEM that estimated by Partial Least Square method (PLS),the study selected 17 observed variables, 5 exogenous latent variables (Economic, finance, consumption, market and infrastructure environment) and 1 endogenous latent variable (Urban real estate investment environment (UREIE)). Additionally, model construction and reliability test will be performed. Moreover, not only each environment score and comprehensive score in a city, but also the UREIE rank in 2002 and from 2008 to 2012 were figured out.Finally,depending on the comprehensive score ranking, developed, medium developed and less developed comprehensive score ranking, developed, medium developed and less developed cities were picked by the fluctuation of the ranking from 2002 to 2012. For government, these scores and rank are useful for adjusting the relative policy. For investors, these scores and rank are considered as an essential reference for making the investment decision.en_US
dcterms.extentiv, 77 pages : illustrationsen_US
dcterms.educationalLevelAll Masteren_US
dcterms.LCSHReal estate investment -- China.en_US
dcterms.LCSHReal estate business -- China.en_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.accessRightsrestricted accessen_US

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/8321