杭州市房地产企业空间集聚特征与区位选择

房地产业是中国国民经济的重要支柱行业,从微观视角解析房地产企业空间格局与区位选择因素对指导中国城市房地产业健康发展至关重要。论文基于杭州市房地产业工商企业登记数据,采用最近邻指数、Ripley's K函数、最近邻层次聚类等空间点模式方法以及地理探测器模型,系统分析了杭州市房地产企业空间集聚特征与区位选择影响因素,研究结果表明：① 杭州市房地产业及其子行业企业分布均存在显著的空间集聚特征,不同类型房地产行业企业的空间集聚程度呈现出“房地产中介服务>房地产开发经营>物业管理>其他房地产业”的规律特征;② 杭州市房地产业及其子行业企业的空间集聚强度均呈现出“先增后减”的空间尺度分异特征,但不同类型房地产业企业的空间集聚强度和集聚尺度却存在差异;③ 杭州市房地产企业分布的热点集聚区主要集中在沿西湖或钱塘江南部周围区域,但不同类型房地产业企业的热点集聚区分布等级和规模数量却有所差异;④ 地理探测器分析表明,集聚因素、区位因素和交通因素是影响杭州市房地产企业区位选择的有效因素。

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

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.