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Land Cost Control Of Real Estate Development Projects

Posted on:2014-11-14Degree:MasterType:Thesis
Country:ChinaCandidate:X Y ZhuFull Text:PDF
GTID:2252330401982823Subject:Structural engineering
Abstract/Summary:PDF Full Text Request
From the1980s to now, China’s real estate industry after30years of development, hasmade great achievements, become a pillar industry, therefore, the real estate developmententerprises derive huge profits, driven by the huge interest, thousands of private, Group, havejoined the real estate industry as well as many excellent foreign real estate companies beganto invest in China. Associated with the real estate industry, building materials industry,decoration industry, furniture, household appliances and other dozens of industries, thecurrent real estate development industry is highly competitive, while facing enormouschallenges both international and domestic. In the fierce competition for survival anddevelopment are placed in front of a real estate development enterprises need to solve theproblem.This stood in real estate development business perspective, analysis of the developmentcost of the project is too high, pointing out that the cost is too high because the cost structureinside the land cost is too high. In this paper, the cost of land will affect the price of landconstituting the factors are divided into macro factors and micro factors, macroeconomicfactors and microscopic analysis of the factors that impact on land prices, which focuses onanalysis of the micro factors affecting the price of the land proposed real estate developmententerprises control the cost of land measure is the use of scientific methods to predict the priceof land, avoiding the blind and impulsive purchase subjective factors such as land purchaseprice is too high, resulting in high cost of land.In this article, using MATLAB toolbox, the use of BP (Back Propagation) neuralnetwork algorithm, the establishment of the land price forecasting model can effectively solvethe micro factors impact on land prices, BP neural network training sample. The predictedresults can accurately reflect the price of the purchase of land, the purchase of land for realestate development enterprises in scientific reference. Use of land price forecasting modelprovides objective and accurate analysis of the data, combined with the level of corporategovernance and corporate goals, the development of rational land purchase program, canmake up for some of the traditional purchase of land blindness, from the source to effectivelysolve the problem of land cost control.In this thesis, the price of land for real estate development enterprises prediction model,the fierce market competition in the real estate industry, not only to help enterprises toimprove their ability to control the cost of development projects, in particular, the ability tocontrol the cost of land, increase profit margins, but alsoto some extent, improve the management level, and enhance the competitiveness of a certain significance to promote thehealthy development of the real estate business and industry.
Keywords/Search Tags:real estate, Development projects, land costs, control
PDF Full Text Request
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