Identifying Spatial Heterogeneity in the Effects of High-Tech Firm Density on Housing Prices: Evidence from Guangdong-Hong Kong-Macao Greater Bay Area, China
文献类型：期刊论文
| 作者 | Wang, Yang; Wu, Kangmin; Zhang, Hong'ou; Liu, Yi4,5; Yue, Xiaoli1,3 |
| 刊名 | CHINESE GEOGRAPHICAL SCIENCE
 |
| 出版日期 | 2023-04-01 |
| 卷号 | 33期号:2页码:233-249 |
| 关键词 | innovation capitalization high-tech firms housing prices spatial heterogeneity semi-geographically weighted regression (SGWR) Guangdong-Hong Kong-Macao Greater Bay Area (GHMGBA) |
| DOI | 10.1007/s11769-023-1341-5 |
| 文献子类 | Article |
| 英文摘要 | Innovation capitalization is a new concept in innovation geography research. Extant research on a city scale has proven that innovation is an important factor affecting housing prices and verified that innovation has a capitalization effect. However, few studies investigate the spatial heterogeneity of innovation capitalization. Thus, case verification at the urban agglomeration scale is needed. Therefore, this study proposes a theoretical framework for the spatial heterogeneity of innovation capitalization at the urban agglomeration scale. Examining the Guangdong-Hong Kong-Macao Greater Bay Area (GHMGBA), China as a case study, the study investigated the spatial heterogeneity of the influence of high-tech firms, representing innovation, on housing prices. This work verified the spatial heterogeneity of innovation capitalization. The study constructed a data set influencing housing prices, comprising 11 factors in 5 categories (high-tech firms, convenience of living facilities, built environment, the natural environment, and the fundamentals of the districts) for 419 subdistricts in the GHMGBA. On the global scale, the study finds that high-tech firms have a significant and positive influence on housing prices, with the housing price increasing by 0.0156% when high-tech firm density increases by 1%. Furthermore, a semi-geographically weighted regression (SGWR) analysis shows that the influence of high-tech firms on housing prices has spatial heterogeneity. The areas where high-tech firms have a significant and positive influence on housing prices are mainly in the Guangzhou-Foshan metropolitan area, western Shenzhen-Dongguan, north-central Zhongshan-Nansha district, and Guangzhou-all areas with densely distributed high-tech firms. These results confirm the spatial heterogeneity of innovation capitalization and the need for further discussion of its scale and spatial limitations. The study offers implications for relevant GHMGBA administrative authorities for spatially differentiated development strategies and housing policies that consider the role of innovation in successful urban development. |
| WOS关键词 | GEOGRAPHICALLY WEIGHTED REGRESSION ; INNOVATION ; CAPITALIZATION ; DETERMINANTS ; QUALITY |
| WOS研究方向 | Environmental Sciences & Ecology |
| WOS记录号 | WOS:000954783300002 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/200794]  |
| 专题 | 区域可持续发展分析与模拟院重点实验室_外文论文 |
| 作者单位 | 1.Yunnan Normal Univ, Fac Geog, Kunming 650500, Peoples R China 2.Guangdong Univ Technol, Sch Architecture & Urban Planning, Guangzhou 510090, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, Beijing 100101, Peoples R China 4.Inst Strategy Res Guangdong, Hong Kong & Macao Greater Bay Area, Guangzhou 510070, Peoples R China 5.Guangdong Acad Sci, Guangzhou Inst Geog, Guangzhou 510070, Peoples R China |
| 推荐引用方式 GB/T 7714 | Wang, Yang,Wu, Kangmin,Zhang, Hong'ou,et al. Identifying Spatial Heterogeneity in the Effects of High-Tech Firm Density on Housing Prices: Evidence from Guangdong-Hong Kong-Macao Greater Bay Area, China[J]. CHINESE GEOGRAPHICAL SCIENCE,2023,33(2):233-249. |
| APA | Wang, Yang,Wu, Kangmin,Zhang, Hong'ou,Liu, Yi,&Yue, Xiaoli.(2023).Identifying Spatial Heterogeneity in the Effects of High-Tech Firm Density on Housing Prices: Evidence from Guangdong-Hong Kong-Macao Greater Bay Area, China.CHINESE GEOGRAPHICAL SCIENCE,33(2),233-249. |
| MLA | Wang, Yang,et al."Identifying Spatial Heterogeneity in the Effects of High-Tech Firm Density on Housing Prices: Evidence from Guangdong-Hong Kong-Macao Greater Bay Area, China".CHINESE GEOGRAPHICAL SCIENCE 33.2(2023):233-249. |
入库方式： OAI收割
来源：地理科学与资源研究所
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