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Evaluate And Forecast Of Real Estate Development In Hebei Province

Posted on:2011-01-21Degree:MasterType:Thesis
Country:ChinaCandidate:J L WangFull Text:PDF
GTID:2189360308453885Subject:Statistics
Abstract/Summary:PDF Full Text Request
Real estate development is an important component of national economy,it make the real estate goods successfully enter the market and realize the value to meet the community's demand for commodities after development, construction and completion to production. Real estate is an important component in the national economy, it tie the lifeblood of the national economy, with economic development, in recent years the investment of real estate grown rapidly, real estate development in Hebei Province's economic development has indeed played a a great impetus, precisely because the real estate and the people's livelihood have an close relationship , so we need to explore in depth whether the development of real estate is efficient or not, and how can the real estate industry in our province development scientifically and sustainable, make the real estate industry revitalize, at the same time, provide better service for the national economy and for the majority of people.In this paper, based on previous studies, firstly, establishing an evaluation index system of the level of real estate development, to reflect the level of real estate development in our province from the different levels, evaluating the level of real estate development from the multi-dimensional,perspective, then has a comprehensive scientific understanding of the level on real estate development, and take full advantage of the resulting data to analyze the real estate development in Hebei Province's with factor analysis and cluster analysis as the main method , using ARIMA models to predict the trend of real estate development in our province.By empirical research, reach the conclusion about the main factors affecting real estate development in our province, and on this basis put forward targeted countermeasures and proposals.
Keywords/Search Tags:Real estate development, Factor analysis, Cluster analysis, Forecast
PDF Full Text Request
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