本文基于微观企业数据，采用泰森多边形、核密度及空间自相关方法，多尺度考察2001-2010年北京房地产中介门店空间格局演化特征，通过构建地理加权回归模型（GWR），探究2010年房地产中介空间格局驱动因素。研究表明：①房地产中介集中分布在城六区，数量增速最快功能区是城市发展新区。②空间格局不均衡性增大，空间集聚态势加强。③集聚主核心点出现由"东城"向"朝阳"方向的东推位移，集聚程度加深，主核心区团块面积扩大，次级核心点增多，"两轴、两带、多中心"基本版图形成。④空间集聚现象明显，热点区域扩张，但始终集中在区域中心。⑤驱动效应最大的因素为常住人口，多种驱动因素效应均比较强的街区（乡镇）基本上属于各区县经济水平相对发达的区域。此外，政府政策对其影响也较大。
Abstract
To develop the real estate intermediary industry can improve labor efficiency, reduce transaction costs, and promote the sustainable development of real estate industry. To study the evolution of the spatial pattern and the optimal layout of the real estate intermediary industry is of great theoretical and practical significance to promote the sustainable development of the real estate industry. Based on the data of micro enterprises, using the Tyson polygon, kernel density and spatial autocorrelation method, this paper study the spatial pattern evolution characteristics of Beijing real estate intermediary stores from 2001 to 2010 through multi scale, then, we use construction of geographically weighted regression model (GWR) to probe into the driving factors of the spatial pattern of real estate intermediary in 2010. The research shows that:1) The real estate agency is concentrated in six district of central city of Beijing.The functional area with the fastest growth rate is the new urban development area. 2) The imbalance of spatial pattern increases and the spatial agglomeration trend is strengthened. 3) The main core points of the cluster are moved eastward from the "Dongcheng" to the "Chaoyang" direction.The degree of agglomeration is deepened and the area of the main core area is enlarged.Secondary core points increase. The basic layout of two axle, two and multi center is formed. 4) The phenomenon of spatial agglomeration is obvious, and the hot spot is expanding, but it always concentrates in the regional center. 5)The biggest driving factor is the resident population. Basically,a block (town and town) with the effects of a variety of driving factors are obvious that is the region with relatively developed economic level in each district and county. In addition, the government policy has a great impact on it.
关键词
房地产中介 /
空间格局 /
驱动因素 /
北京市
Key words
real estate agent /
spatial pattern /
driving factors /
Beijing
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参考文献
[1] 柳坤,申玉铭.国内外服务业地理研究进展[J].人文地理,2013,28(1):48-55.[Liu Kun, Shen Yuming. Review of research on services geography[J]. Human Geography, 2013,28(1):48-55.]
[2] Scott A. Industrial organization and location:Division of labor, the firm, and spatial process[J]. Economic Geography, 1986,62(3):215-231.
[3] 刘洋.威廉姆森交易成本理论述评[D].长沙:湖南大学,2004:6-18.[Liu Yang. Review on the Williamson's Theory of Transaction Costs[D]. Changsha:Hunan University, 2004:6-18.]
[4] Benjamin J D, Donald Jud G, Sirmans G S. What do we know about real estate brokerage[J]. Journal of Real Estate Research, 2000,20(1/2):5-30.
[5] 陈曦明,盖国凤.房地产中介经营状况及发展态势分析[J].经济视角,2012(6):16-18.[Chen Ximing, Gai Guofeng. Analysis on the situation and development trend of real estate agency management[J]. Economic Perspective, 2012(6):16-18.]
[6] 阳大胜. "房价运动"中房地产中介的价格欺诈与监管[J].广州市经济管理干部学院学报,2007,9(1):16-19.[Yang Dasheng. The price of fraud and regulation of the real estate agency price movement[J]. Journal of Guangzhou Economic Management College, 2007,9(1):16-19.]
[7] 韩丹,肖立.南京房地产中介行业发展现状与对策[J].内蒙古科技与经济,2009(1):18-20.[Han Dan, Xiao Li. The development status and countermeasures of Nanjing real estate intermediary industry[J]. Inner Mongolia Science Technology & Economy, 2009(1):18-20.]
[8] 吕凤琴.房地产中介的市场选择与发展研究[D].重庆:重庆大学, 2004:21-34.[Lv Fengqin. The Market Choice and the Development of Real Estate Intermediate[D]. Chongqing:Chongqing University, 2004:21-34.]
[9] 王耀林,吴福进.被忽略的房价上涨因素——谈房地产中介服务业的规范管理[J].中小门店管理与科技,2009(5):121.[Wang Yaolin, Wu Fujin. The rising factor of the price that is ignored:On the standard management of real estate intermediary service industry[J]. Management and Technology of Small and Medium Sized Enterprises, 2009(5):121.]
[10] 罗鸿铭.促进房地产中介组织健康发展的途径探讨[J].现代财经, 2007(4):56-68.[Luo Hongming. Approach to promote the healthy development of real estate intermediary organizations[J]. Modern Finance & Economics, 2007(4):56-68.]
[11] 朱立彬.天津房地产中介机构经营现状与发展对策研究[D].天津:天津大学,2004:72-75.[Zhu Libin. A Study on Current Situation and Development Countermeasures of Tianjin Real Estate Brokerage Firms[D]. Tianjin:Tianjin University, 2004:72-75.]
[12] 毛文珂.房地产中介行业发展的契机与挑战[J].价格月刊,2008(6):72-73.[Mao Wenke. Opportunities and challenges of the development of real estate intermediary industry[J]. Price Monthly, 2008(6):72-73.]
[13] 樊立惠,王岱,李丹.我国房地产中介行业的空间格局及影响因素[J].工业经济论坛,2015,2(1):139-147.[Fan Lihui, Wang Dai, Li Dan. The spatial pattern of China's real estate industry and analysis of its influence factors[J]. Industrial Economy Review, 2015,2(1):139-147.]
[14] 赵群毅,周一星.西方生产者服务业空间结构研究及其启示[J].城市规划学刊,2007(1):19-24.[Zhao Qunyi, Zhou Yixing. Review on the spatial structure of producer services in the western literatures and its enlightenment[J]. Journal of City Planning, 2007(1):19-24.]
[15] Coffey W J, Shearmur R. Agglomeration and dispersion of high-order service employment in the Montreal metropolitan region,1981-1996[J]. Urban Studies, 2002,39:359-378.
[16] Hermelin B. The Urbanization and suburbanization of the service economy producer services and specialization in Stockholm[J]. Geografiska Annaler Series B:Human Geography, 2007,89(s1):59-74.
[17] 赵群毅,谢从朴,王茂军.北京都市区生产者服务业地域结构[J].地理研究,2009,28(5):1401-1413.[Zhao Qunyi, Xie Congpu, Wang Maojun. Study on territorial structure of producer services in Beijing metropolitan area[J]. Geographical Research, 2009,28(5):1401-1413.]
[18] 邵晖.北京市生产者服务业集聚特征[J].地理学报,2008,63(12):1289-1298.[Shao Hui. Agglomeration of producer services in Beijing[J]. Acta Geographica Sinica, 2008,63(12):1289-1298.]
[19] Duyckaerts C, Godefroy G. Voronoi tessellation to study the numerical density and the spatial distribution of neurons[J]. Journal of Chemical Neuroanatomy, 2000,20(1):83-92.
[20] Paeza, Uchida T, Miyamoto K. Spatial association and heterogeneity issues in land price models[J]. Urban Studies, 2001,38(9):1493-1508.
基金
国家自然科学基金项目（41101150）；教育部人文社会科学研究青年基金项目（16YJC790056）；北京市教委一般项目（KM201710028015）
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