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-  2018 

基于消费者结构需求研究商品住宅去库存的影响因素
Analysis of the Relationship Between the Demand of Different Consumer Groups and Residential Real Estate Inventory Reduction

DOI: 10.13718/j.cnki.xdzk.2018.09.016

Keywords: 需求, 消费者, Logistic模型, 住宅房地产, 去库存
demand
, consumer, Logistic model, residential real estate, inventory reduction

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Abstract:

本文以问卷调查的形式获取重庆市主城区消费者购房需求数据,运用Logistic,GRA模型方法,基于消费者结构对住宅市场的需求,研究其与住宅房地产去库存的关联程度,以探求商品住宅去库存的影响因素.研究表明:1)整体上,70后、80后、90后消费者的购房需求优势明显,但购房用途差异显著,70后以投资改善型为主,90后则属于刚需型.63.57%的80后属于刚需型,36.43%的80后消费者的购房需求类型属于投资改善型.2)在购房因素主导方面,70后主要倾向于住宅商品自身属性,旨在提高生活质量;80后偏好于房地产自身属性和社会因素两方面;90后则受限于社会因素与自身购买能力,急于解决刚需问题.3)与住宅商品去库存的关联度大于0.7的显著影响因素依次为:薪资水平、住房周围环境质量、住宅面积、公共配套设施、租金水平、购房资金来源、住宅价格;大于0.6的重要因素为户口问题、住宅户型;首付比例、银行利率对住宅去库存的影响较弱.
In order to provide support to decision-making by the government in its effort to accurately reduce residential real estate inventory, a questionnaire survey was carried out to obtain the data of consumers' demand for house purchase in the urban area of Chongqing. Logistic and GRA model were used to analyze the consumer structure-based demand for house purchase and its relevance to real estate inventory reduction so as to clarify the influencing factors for inventory reduction of commodity residence. The research showed that as a whole, the post-70 (the generation whose members were born between 1970 and 1979), post-80 and post-90 consumers' demand for house purchase is obvious, but there is a significant difference in the uses of houses. For most of the post-70s, their house purchase is for investment or for improving their dwelling conditions, while for the post-90 consumers, they have a rigid demand for house purchase. Of the post-80s, 63.57% show a rigid demand and 36.43% have a, investment or an improvement housing demand. The post-70s emphasize the commodity property of the house, for the aim of their purchase is to improve the quality of their life; the post-80s' preference involves two aspects:the real estate property and social factors; the post-90s are constrained by social factors and their limited buying power and they are eager to satisfy their rigid demand. Salary, the environmental quality around the house, residential area, public facilities the level of rent, the source of purchase financing and housing prices are important factors influencing real estate inventory reduction, their relevance being < 0.7. Household registration and apartment layout have a relevance of < 0.6. The proportion of down payment and bank interest rate have but a weak influence on real estate inventory reduction

References

[1]  蔺雪芹, 王岱, 任旺兵, 等. 中国城镇化对经济发展的作用机制[J]. 地理研究, 2013, 32(4): 691-700.
[2]  程荫, 韩笑, 胡越. 农民工城市购房意愿及影响因素研究[J]. 调研世界, 2012(10): 17-22. DOI:10.3969/j.issn.1004-7794.2012.10.005
[3]  谢逸枫. 农民工进城"去库存"要打"组合拳"[J]. 新产经, 2016(1): 39-41.
[4]  曾晖, 杨平. 南京市住宅价格的空间回归分析[J]. 西南大学学报(自然科学版), 2012, 34(5): 141-145.
[5]  覃芳. 宠观调控背景下房地产市场可持续发展的研究[J]. 企业经济, 2012(2): 140-142.
[6]  邓富民, 梁学栋. 宏观经济、政府规制与房地产市场发展-政策调控与中国房地产市场发展研究论坛综述[J]. 经济研究, 2012(12): 152-155. DOI:10.3969/j.issn.1673-291X.2012.12.068
[7]  BERTINELLI L, BLACK D. Urbanization and Growth[J]. Journal of Urban Economics, 2004, 56(1): 80-96. DOI:10.1016/j.jue.2004.03.003
[8]  重庆统计局. 2016年1-7月重庆房地产开发和销售情况[EB/OL]. http://www.cqtj.gov.cn/xwdt/201808/t20180820_451165.htm.
[9]  胡春春. 人口、经济、技术与碳排放:基于灰色关联度模型的实证分析[J]. 企业经济, 2014(8): 20-24.
[10]  胡炜.北京市住宅需求研究[D].北京: 首都经济贸易大学, 2005. http://cdmd.cnki.com.cn/Article/CDMD-11912-2005078688.htm
[11]  皮舜, 武康平. 房地产市场发展和经济增长间的因果关系——对我国的实证分析[J]. 管理评论, 2004(3): 8-12, 63.
[12]  李雄军, 姚树洁. 计划生育、城市化与我国房地产市场的发展[J]. 当代经济科学, 2011, 33(5): 74-77.
[13]  王洁. 电商发展对房地产去库存的影响分析与研究[J]. 工程经济, 2015(4): 106-110. DOI:10.3969/j.issn.1672-2442.2015.04.021
[14]  SMITH P S, GIBLER K M, ZAHIROVIC-HERBERT V. The Effect of Relisting on House Selling Price[J]. The Journal of Real Estate Finance and Economics, 2016, 52(2): 176-195. DOI:10.1007/s11146-015-9503-6
[15]  张新民. 农民工在打工地购房意愿影响因素研究——以广州市番禺区大岗镇为例[J]. 江西农业大学学报(社会科学版), 2012, 11(1): 1-8. DOI:10.3969/j.issn.1671-6523.2012.01.001
[16]  梁志民, 饶盼, 杨国强. 农民工在务工地购房意愿的影响因素[J]. 西北农林科技大学学报(社会科学版), 2014, 14(4): 32-36.
[17]  李莹, 林功成. "85后"消费者的购房意向及其影响因素研究——以广东省为例[J]. 广告大观(理论版), 2015(2): 12-17.
[18]  BIAN X, WALLER B D, TURNBULL G K, et al. How Many Listings Are too Many? Agent Inventory Externalities and the Residential Housing Market[J]. Journal of Housing Economics, 2015, 28: 130-143. DOI:10.1016/j.jhe.2015.04.002
[19]  吴学安.中小城市房地产去库存利率能帮多大忙[EB/OL]. http://zh.house.163.com/15/1218/21/BB58KF38022/00NS.html#.
[20]  虞晓芬. 加快供给侧改革加速房地产去库存[J]. 浙江经济, 2016(2): 30-31. DOI:10.3969/j.issn.1005-1635.2016.02.013
[21]  LI S, PAN Q, HE J. Impact of Systemic Risk in the Real Estate Sector on Banking Return[J]. Springer Plus, 2016, 5(1): 61. DOI:10.1186/s40064-016-1693-8
[22]  刘追, 杜文泉. 房地产企业销售人员需求满意度的影响因素及激励策略研究——以西安市为例[J]. 石河子大学学报(哲学社会科学版), 2014, 28(3): 100-106.
[23]  刘耀彬, 李仁东, 宋学锋. 中国区域城市化与生态环境耦合的关联分析[J]. 地理学报, 2005, 60(2): 237-247. DOI:10.3321/j.issn:0375-5444.2005.02.007
[24]  单汨源, 杨沛, 张人龙. 网络预售模式下消费者购买意愿的影响因素[J]. 经济经纬, 2014, 31(5): 98-102. DOI:10.3969/j.issn.1006-1096.2014.05.017
[25]  CHEGUT A, EICHHOLTZ P, KOK N. Supply, Demand and the Value of Green Buildings[J]. Urban Studies, 2013, 51(1): 22-43.

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