杭州市房地产企业空间集聚特征与区位选择

doi:10.18306/dlkxjz.2021.05.002

Abstract

Abstract:

Since the real estate industry is an important pillar industry of national economy in China, it is essential to understand its spatial pattern and location choice factors in Chinese cities to guide the healthy development of the industry. Based on business registration data of the real estate enterprises in Hangzhou City, this study applied spatial point pattern methods of nearest neighbor index, Ripley's K function, and nearest neighbor hierarchical clustering method combined with the geographical detector method to examine spatial agglomeration and location choice factors of real estate enterprises. The results show that: 1) Real estate enterprises and their sub-industrial enterprises in Hangzhou all exhibit a characteristic of spatial agglomeration, with the spatial agglomeration degree in the order of real estate agency > real estate development and operation > property management > other real estate industries. 2) Spatial agglomeration intensity of the real estate enterprises and their sub-industrial enterprises in Hangzhou first increased and then decreased, and their spatial agglomeration intensity and scale vary by different types of real estate enterprises. 3) Hotspot clusters of the real estate enterprises and their sub-industrial enterprises in Hangzhou are mainly concentrated in the areas around the West Lake and the Qiantang River, but there exist hierarchy and scale disparity of hotspot clusters for different types of real estate enterprises. 4) Geographical detector modeling results indicate that agglomeration factors, location factors, and traffic factors are the significant factors affecting the location choice of real estate enterprises in Hangzhou City.

Key words: real estate industry, spatial agglomeration, location choice, spatial point pattern analysis, Hangzhou City

ZHAN Dongsheng, ZHANG Qianyun, ZHANG Wenzhong, YU Xiaofen, ZHANG Juanfeng. Spatial agglomeration and location choice factors of real estate enterprises in Hangzhou City[J].PROGRESS IN GEOGRAPHY, 2021, 40(5): 736-745.

Figures/Tables 6

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References 34

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类型	代码	说明	企业数量/个
房地产业	70		4913
房地产开发经营	7010	指房地产开发企业进行的房屋、基础设施建设等开发,以及转让房地产开发项目或者销售、出租房屋等活动	915
物业管理	7020	指物业服务业按照合同约定,对房屋及配套的设施设备和相关场地进行维修、养护、管理,维护环境卫生和相关秩序的活动	805
房地产中介服务	7030	指房地产咨询、房地产价格评估、房地产经纪等活动	2885
其他房地产业	7090		308

类型	观测距离/m	期望距离/m	最近邻指数(NNI)	Z得分	P值
房地产业	70.86	345.72	0.205	-106.596	<0.01
房地产开发经营	224.34	772.81	0.290	-41.070	<0.01
物业管理	289.82	692.33	0.419	-31.537	<0.01
房地产中介服务	62.68	318.89	0.197	-82.559	<0.01
其他房地产业	429.58	990.92	0.434	-19.019	<0.01

影响因素	变量	代码	测度指标	单位	预期影响
集聚因素	地方化经济	LE	2010年前房地产企业数	个/km²	±
	城市化经济	UE	人口密度	万人/km²	+
区位因素	地价	LP	土地价格	万元/m²	±
	到旧城市中心距离	DWL	到武林广场距离	km	-
	到新城市中心距离	DSMZX	到市民中心距离	km	-
交通因素	公交便利性	BUS	公交站数量	个	+
	地铁便利性	SUBWAY	地铁站数量	个	+
	城市道路建设	ROAD	路网密度	km/km²	+

解释变量	房地产业		房地产开发经营		物业管理		房地产中介服务		其他房地产业
解释变量	q统计量	影响方向	q统计量	影响方向	q统计量	影响方向	q统计量	影响方向	q统计量	影响方向
LE	90.8%^***	+	92.6%^***	+	83.7%^***	+	95.5%^***	+	88.8%^***	+
UE	35.3%^***	+	3.1%	不显著	26.7%^***	+	32.0%^***	+	33.4%^***	+
LP	37.4%^***	+	4.8%	-	28.2%^***	+	37.8%^***	+	31.1%^***	+
DWL	38.3%^***	-	14.4%^**	+	32.6%^***	-	36.5%^***	-	30.8%^***	-
DSMZX	31.7%^***	-	12.2%^*	+	25.0%^***	-	29.1%^***	-	22.9%^***	-
BUS	34.6%^***	+	3.2%	不显著	25.9%^***	不显著	32.6%^***	+	27.3%^***	+
SUBWAY	31.0%^***	+	10.7%^**	-	20.8%^***	+	30.0%^***	+	29.7%^***	+
ROAD	30.4%^***	不显著	0.5%	不显著	18.7%^***	不显著	31.1%^***	不显著	26.6%^***	不显著

Spatial agglomeration and location choice factors of real estate enterprises in Hangzhou City

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