{"title":"中国跨城市消费:区域偏好与互惠互利","authors":"Yonghong Xu, An Jiang, Bingjie Su, Shucheng Liu","doi":"10.1007/s12061-025-09702-1","DOIUrl":null,"url":null,"abstract":"<div><p>In China, intercity consumption exhibits segmented market characteristics shaped by geographical proximity and psychological affinity within the same province. This study constructs an intercity consumption network encompassing 295 prefecture-level cities using 14.4 billion intercity consumption records from UnionPay Business. First, we apply social network analysis to examine the network’s evolution over the sample period. Building on this framework, the Temporal Exponential Random Graph Model (TERGM) is employed to investigate the determinants and formation mechanisms of intercity consumption relationships. The findings reveal that the overall connectivity of China’s consumption network has increased over the sample period, with a consumption structure centered on provincial capitals and municipalities directly under the central government. According to the TERGM results, cities with higher levels of economic development, larger populations, and greater income disparities are more likely to attract intercity consumption flows. Additionally, significant “provincial clustering effects,” “provincial capital effects,” and “geographical effects” are observed. Specifically, cities within the same province are more inclined to establish intercity consumption ties, while provincial capitals and centrally administered municipalities demonstrate a greater capacity to attract consumption. Moreover, geographical proximity, particularly between neighboring cities, fosters stronger intercity consumption linkages. Furthermore, evidence suggests the presence of reciprocity within the intercity consumption network, indicating a mutual reinforcement effect that enhances the overall connectivity of cities. The insights drawn from this study provide valuable reference for understanding and leveraging the advantages of China’s large-scale market.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 3","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2025-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"China’s Cross-City Consumption: Regional Preference and Mutual Benefits\",\"authors\":\"Yonghong Xu, An Jiang, Bingjie Su, Shucheng Liu\",\"doi\":\"10.1007/s12061-025-09702-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In China, intercity consumption exhibits segmented market characteristics shaped by geographical proximity and psychological affinity within the same province. This study constructs an intercity consumption network encompassing 295 prefecture-level cities using 14.4 billion intercity consumption records from UnionPay Business. First, we apply social network analysis to examine the network’s evolution over the sample period. Building on this framework, the Temporal Exponential Random Graph Model (TERGM) is employed to investigate the determinants and formation mechanisms of intercity consumption relationships. The findings reveal that the overall connectivity of China’s consumption network has increased over the sample period, with a consumption structure centered on provincial capitals and municipalities directly under the central government. According to the TERGM results, cities with higher levels of economic development, larger populations, and greater income disparities are more likely to attract intercity consumption flows. Additionally, significant “provincial clustering effects,” “provincial capital effects,” and “geographical effects” are observed. Specifically, cities within the same province are more inclined to establish intercity consumption ties, while provincial capitals and centrally administered municipalities demonstrate a greater capacity to attract consumption. Moreover, geographical proximity, particularly between neighboring cities, fosters stronger intercity consumption linkages. Furthermore, evidence suggests the presence of reciprocity within the intercity consumption network, indicating a mutual reinforcement effect that enhances the overall connectivity of cities. The insights drawn from this study provide valuable reference for understanding and leveraging the advantages of China’s large-scale market.</p></div>\",\"PeriodicalId\":46392,\"journal\":{\"name\":\"Applied Spatial Analysis and Policy\",\"volume\":\"18 3\",\"pages\":\"\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2025-08-02\",\"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/s12061-025-09702-1\",\"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/s12061-025-09702-1","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
China’s Cross-City Consumption: Regional Preference and Mutual Benefits
In China, intercity consumption exhibits segmented market characteristics shaped by geographical proximity and psychological affinity within the same province. This study constructs an intercity consumption network encompassing 295 prefecture-level cities using 14.4 billion intercity consumption records from UnionPay Business. First, we apply social network analysis to examine the network’s evolution over the sample period. Building on this framework, the Temporal Exponential Random Graph Model (TERGM) is employed to investigate the determinants and formation mechanisms of intercity consumption relationships. The findings reveal that the overall connectivity of China’s consumption network has increased over the sample period, with a consumption structure centered on provincial capitals and municipalities directly under the central government. According to the TERGM results, cities with higher levels of economic development, larger populations, and greater income disparities are more likely to attract intercity consumption flows. Additionally, significant “provincial clustering effects,” “provincial capital effects,” and “geographical effects” are observed. Specifically, cities within the same province are more inclined to establish intercity consumption ties, while provincial capitals and centrally administered municipalities demonstrate a greater capacity to attract consumption. Moreover, geographical proximity, particularly between neighboring cities, fosters stronger intercity consumption linkages. Furthermore, evidence suggests the presence of reciprocity within the intercity consumption network, indicating a mutual reinforcement effect that enhances the overall connectivity of cities. The insights drawn from this study provide valuable reference for understanding and leveraging the advantages of China’s large-scale market.
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.