河北省房地產(chǎn)開發(fā)水平的評(píng)價(jià)與預(yù)測(cè).pdf

1、河北大學(xué)碩士學(xué)位論文河北省房地產(chǎn)開發(fā)水平的評(píng)價(jià)與預(yù)測(cè)姓名：王金磊申請(qǐng)學(xué)位級(jí)別：碩士專業(yè)：統(tǒng)計(jì)學(xué)指導(dǎo)教師：劉樹20100501Abstract IIAbstractReal estate development is an important component of national economy，it make the real estate goods successfully enter the market and reali

2、ze 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 nat

3、ional 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 b

4、ecause 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 p

5、rovince 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 prev

6、ious 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 r

7、eal 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

8、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

9、the conclusion about the main factors affecting real estate development in our province, and on this basis put forward targeted countermeasures and proposals. Key words Real estate development Factor analysis Cluster