长安大学学报(社会科学版)
長安大學學報(社會科學版)
장안대학학보(사회과학판)
Journal of Chang'an University (Philosophy and Social Science Edition)
2015年
4期
59-63
,共5页
房价%影响因素%灰色关联度%新一线城市
房價%影響因素%灰色關聯度%新一線城市
방개%영향인소%회색관련도%신일선성시
house price%influence factors%grey relational analysis%new first tier city
从房地产行业和经济人口角度总结以往房价影响因素指标中存在的信息冗杂、代表性不强的问题,对以往的房地产行业和经济人口影响因素指标进行了修正和补充,以11个新一线城市的房价为例,建立新的指标体系,用灰色关联分析法分析了影响房价的因素及其与房价的关联程度。结果表明:影响房价的因素影响程度由大到小依次为城镇人均可支配收入、人均GDP、城镇新增就业人口、住宅开发投资额、住宅销售面积、住宅待售面积、住宅新开工面积、住宅竣工面积、住宅施工面积、居民消费价格指数;经济人口的需求因素对房价的关联度大于房地产行业的供应因素;人口因素对房价的关联程度低于区域经济因素。
從房地產行業和經濟人口角度總結以往房價影響因素指標中存在的信息冗雜、代錶性不彊的問題,對以往的房地產行業和經濟人口影響因素指標進行瞭脩正和補充,以11箇新一線城市的房價為例,建立新的指標體繫,用灰色關聯分析法分析瞭影響房價的因素及其與房價的關聯程度。結果錶明:影響房價的因素影響程度由大到小依次為城鎮人均可支配收入、人均GDP、城鎮新增就業人口、住宅開髮投資額、住宅銷售麵積、住宅待售麵積、住宅新開工麵積、住宅竣工麵積、住宅施工麵積、居民消費價格指數;經濟人口的需求因素對房價的關聯度大于房地產行業的供應因素;人口因素對房價的關聯程度低于區域經濟因素。
종방지산행업화경제인구각도총결이왕방개영향인소지표중존재적신식용잡、대표성불강적문제,대이왕적방지산행업화경제인구영향인소지표진행료수정화보충,이11개신일선성시적방개위례,건립신적지표체계,용회색관련분석법분석료영향방개적인소급기여방개적관련정도。결과표명:영향방개적인소영향정도유대도소의차위성진인균가지배수입、인균GDP、성진신증취업인구、주택개발투자액、주택소수면적、주택대수면적、주택신개공면적、주택준공면적、주택시공면적、거민소비개격지수;경제인구적수구인소대방개적관련도대우방지산행업적공응인소;인구인소대방개적관련정도저우구역경제인소。
Summarizing the existing miscellaneous information and weak representation problems in house price influence factors in the past from the real estate industry and economic population perspec -tive, the paper updates and improves the indictors of the real estate industry and the economic influence factors .Taking 11 new first tier cities as an example , the paper establishes a new index system , and ana-lyzes the relation between the factors and the house price by grey relational analysis .The results show that the factors influencing the housing price from the greatest to smallest are urban per capita disposable income, real GDP per capita, urban new employment population, residential development investment , house sales area , for sale houses area , residential area of new development , residential completed area , residential construction area , consumer price index; demand factors of economic population on the correlation of the house price is greater than the supply factors of real estate industry; the connection degree of population factors on house prices is lower than the regional economic factors .