{"title":"房价与创新：通勤距离的作用？","authors":"Yi Zhu, Shuning Liu","doi":"10.1007/s12061-024-09630-6","DOIUrl":null,"url":null,"abstract":"<div><p>The impact of rising housing prices on talent attraction and resulting innovation output in cities has garnered significant attention. However, most existing studies have overlooked the moderating effect of commuting distance when investigating the association between housing prices and innovation, employing various estimating methodologies. To address this research gap, this study analyzes the focused topic using mobile signaling data and relevant macro data from Shanghai City Statistical Yearbooks for the period 2015 to 2022. The empirical findings reveal an inverted U-shaped relationship between housing prices and regional innovation, indicating that as housing prices initially rise, regional innovation also rises before eventually decreasing. In the downtown area, high housing prices have a tendency to diminish innovation outcomes. Whereas the urban fringe area experiences a reverse effect. Additionally, this study reveals that commuting distance plays a significant moderating role in the relationship between housing prices and innovation. Our findings contribute to optimizing the spatial structure of urban employment and population distribution while providing valuable guidance for relevant high-tech enterprises and government departments in designing employee-oriented housing policies aligned with employment locations, thereby supporting future urban management policymaking.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 1","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Linking Housing Prices and Innovation: The Role of Commuting Distance?\",\"authors\":\"Yi Zhu, Shuning Liu\",\"doi\":\"10.1007/s12061-024-09630-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The impact of rising housing prices on talent attraction and resulting innovation output in cities has garnered significant attention. However, most existing studies have overlooked the moderating effect of commuting distance when investigating the association between housing prices and innovation, employing various estimating methodologies. To address this research gap, this study analyzes the focused topic using mobile signaling data and relevant macro data from Shanghai City Statistical Yearbooks for the period 2015 to 2022. The empirical findings reveal an inverted U-shaped relationship between housing prices and regional innovation, indicating that as housing prices initially rise, regional innovation also rises before eventually decreasing. In the downtown area, high housing prices have a tendency to diminish innovation outcomes. Whereas the urban fringe area experiences a reverse effect. Additionally, this study reveals that commuting distance plays a significant moderating role in the relationship between housing prices and innovation. Our findings contribute to optimizing the spatial structure of urban employment and population distribution while providing valuable guidance for relevant high-tech enterprises and government departments in designing employee-oriented housing policies aligned with employment locations, thereby supporting future urban management policymaking.</p></div>\",\"PeriodicalId\":46392,\"journal\":{\"name\":\"Applied Spatial Analysis and Policy\",\"volume\":\"18 1\",\"pages\":\"\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2025-01-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Spatial Analysis and Policy\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s12061-024-09630-6\",\"RegionNum\":4,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Spatial Analysis and Policy","FirstCategoryId":"90","ListUrlMain":"https://link.springer.com/article/10.1007/s12061-024-09630-6","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
Linking Housing Prices and Innovation: The Role of Commuting Distance?
The impact of rising housing prices on talent attraction and resulting innovation output in cities has garnered significant attention. However, most existing studies have overlooked the moderating effect of commuting distance when investigating the association between housing prices and innovation, employing various estimating methodologies. To address this research gap, this study analyzes the focused topic using mobile signaling data and relevant macro data from Shanghai City Statistical Yearbooks for the period 2015 to 2022. The empirical findings reveal an inverted U-shaped relationship between housing prices and regional innovation, indicating that as housing prices initially rise, regional innovation also rises before eventually decreasing. In the downtown area, high housing prices have a tendency to diminish innovation outcomes. Whereas the urban fringe area experiences a reverse effect. Additionally, this study reveals that commuting distance plays a significant moderating role in the relationship between housing prices and innovation. Our findings contribute to optimizing the spatial structure of urban employment and population distribution while providing valuable guidance for relevant high-tech enterprises and government departments in designing employee-oriented housing policies aligned with employment locations, thereby supporting future urban management policymaking.
期刊介绍：
Description
The journal has an applied focus: it actively promotes the importance of geographical research in real world settings
It is policy-relevant: it seeks both a readership and contributions from practitioners as well as academics
The substantive foundation is spatial analysis: the use of quantitative techniques to identify patterns and processes within geographic environments
The combination of these points, which are fully reflected in the naming of the journal, establishes a unique position in the marketplace.
RationaleA geographical perspective has always been crucial to the understanding of the social and physical organisation of the world around us. The techniques of spatial analysis provide a powerful means for the assembly and interpretation of evidence, and thus to address critical questions about issues such as crime and deprivation, immigration and demographic restructuring, retailing activity and employment change, resource management and environmental improvement. Many of these issues are equally important to academic research as they are to policy makers and Applied Spatial Analysis and Policy aims to close the gap between these two perspectives by providing a forum for discussion of applied research in a range of different contexts
Topical and interdisciplinaryIncreasingly government organisations, administrative agencies and private businesses are requiring research to support their ‘evidence-based’ strategies or policies. Geographical location is critical in much of this work which extends across a wide range of disciplines including demography, actuarial sciences, statistics, public sector planning, business planning, economics, epidemiology, sociology, social policy, health research, environmental management.
FocusApplied Spatial Analysis and Policy will draw on applied research from diverse problem domains, such as transport, policing, education, health, environment and leisure, in different international contexts. The journal will therefore provide insights into the variations in phenomena that exist across space, it will provide evidence for comparative policy analysis between domains and between locations, and stimulate ideas about the translation of spatial analysis methods and techniques across varied policy contexts. It is essential to know how to measure, monitor and understand spatial distributions, many of which have implications for those with responsibility to plan and enhance the society and the environment in which we all exist.
Readership and Editorial BoardAs a journal focused on applications of methods of spatial analysis, Applied Spatial Analysis and Policy will be of interest to scholars and students in a wide range of academic fields, to practitioners in government and administrative agencies and to consultants in private sector organisations. The Editorial Board reflects the international and multidisciplinary nature of the journal.
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