The development of international consumption center cities serves as an effective approach to expanding domestic demand and facilitating the formation of a “dual circulation” new development paradigm, while also constituting a necessary initiative to align with the trend of consumption globalization and address the practical requirements for fulfilling the public’s aspiration for “a better life”. This study establishes a comprehensive evaluation system for international consumption center cities through dual perspectives of “intrinsic attributes” and “external network connectivity”. Employing methodologies including the TOPSIS-grey relational evaluation method, membership degree models, and social network analysis, it assesses both the comprehensive hierarchical levels and network connectivity of 32 Chinese cities. Cities are subsequently categorized into distinct types based on these dual evaluation outcomes. The findings reveal that Chinese international consumption center cities generally demonstrate moderate levels in both comprehensive hierarchy and network connectivity, with most exhibiting stronger consumption agglomeration capabilities than consumption radiation capacities. Regarding multi-scale consumption networks, a stable triangular structure anchored by the “Beijing-Shenzhen-Shanghai” core nodes has emerged at the national scale, whereas the global-scale consumption network displays a loosely organized structure with generally weak external connectivity. The 32 cities are classified into five typologies according to their comprehensive hierarchical levels and network connectivity levels. These research conclusions provide theoretical references and decision-making support for accelerating the cultivation and development of international consumption center cities.
[1] 周恺,熊益群. 基于无监督聚类方法的城市消费场景识别研究:以长沙为例[J]. 现代城市研究, 2022(10): 32-39
[2] Glaeser E L, Gottlieb J D. Urban resurgence and the consumer city[J]. Urban Studies, 2006(8): 1275-1299
[3] Glaeser E L, Kolko J, Saiz A. Consumer city[J]. Journal of Economic Geography, 2001(1): 27-50
[4] 黄庆华,向静,周密. 国际消费中心城市打造:理论机理与现实逻辑[J]. 宏观经济研究, 2022(9): 5-18,32
[5] 汪婧. 国际消费中心城市:内涵和形成机制[J]. 经济论坛, 2019(5): 17-23
[6] 叶胥,龙燕妮,毛中根. 多层级消费城市的空间格局及驱动因素——以长三角地区41个城市为例[J]. 经济地理, 2022(5): 75-85
[7] 周佳. 国际消费中心城市:构念、规律与对策[J]. 商业经济研究, 2021(14): 42-45
[8] 张淑萍. 长三角城市群国际消费中心城市竞争力评价[J]. 商业经济研究, 2022(10): 44-49
[9] 姜薇,刘士林. 消费中心城市:历史逻辑、理论逻辑与现实逻辑[J]. 社会科学, 2022(2): 87-94
[10] 吴军,王修齐,刘润东. 消费场景视角下国际消费中心城市建设路径探索——以成都为例[J]. 现代城市研究, 2022(10): 9-15
[11] 刘司可,路洪卫,彭玮. 培育国际消费中心城市的路径、模式及启示——基于24个世界一线城市的比较分析[J]. 经济体制改革, 2021(5): 70-77
[12] 陈丽莉,杨予越,李长风,等. 中国五大城市群消费中心城市指数演变及其影响因素[J]. 经济地理, 2023(8): 39-48
[13] Zheng L, Chang Z, Martinez A G. High-speed rail, market access, and the rise of consumer cities: Evidence from China[J]. Transportation Research Part A: Policy and Practice, 2022, 165: 454-470
[14] Sklair L. Sociology of the Global System[M]. Baltimore: Johns Hopkins University Press, 1991
[15] Frideman J. The world city hypothesis[J]. Development and Change, 1986(1): 69-83
[16] Sassen S. The Global City: New York, London, Tokyo[M]. Princeton University Press, 1991
[17] Castells M. The Rise of the Network Societ[M]. Oxford,UK: Blackwell, 1996
[18] Taylor P. World City Network: A Global Urban Analysis.[M]. London and New York: Routledge, 2004
[19] Wang L, Yang W, Zhang X, et al. Re-shaping global-ness by spending overseas: Analysis of emerging Chinese consumption abroad[J]. Cities, 2021, 109: 103034
[20] 刘社建. “双循环”背景下上海构建国际消费城市路径探析[J]. 企业经济, 2021(1): 5-13,2
[21] 王宁. 地方消费主义、城市舒适物与产业结构优化——从消费社会学视角看产业转型升级[J]. 社会学研究, 2014(4): 24-48,242-243
[22] 邵云通,吴晓. “等级—网络”双维度下长三角城市关联性的演变模式——基于人口流动大数据的分析[J]. 城市规划学刊, 2023(6): 59-67
[23] 李玏,顾朝林. 基于等级—网络分析框架的泛长江三角洲中心城市评价研究[J]. 长江流域资源与环境, 2018(5): 949-959
[24] 曹湛,彭震伟. 全球城市与全球城市—区域“属性与网络”的关联性——以上海和长三角为例[J]. 经济地理, 2017(5): 1-11
[25] 齐骥,亓冉,特里·N.克拉克. 场景的“蜂鸣生产力”[J]. 山东大学学报(哲学社会科学版), 2022(4): 24-39
[26] 吴军,叶裕民. 消费场景:一种城市发展的新动能[J]. 城市发展研究, 2020(11): 24-30
[27] 谈佳洁.消费者视角下城市消费空间“场景”概念的建构[J].城市问题,2019(5):85-94
[28] 李和平,靳泓, N.Clark T,等. 场景理论及其在我国历史城镇保护与更新中的应用[J]. 城市规划学刊, 2022(3): 102-110
[29] 黄泰,卫嫚,席建超. 苏州城市生态旅游舒适性空间格局演变及溢出效应[J]. 经济地理, 2023(8): 210-219
[30] 陈波,赵润. 中国城市非遗传承场景评价指标体系构建与实证[J]. 华中师范大学学报(人文社会科学版), 2020(4): 78-86
[31] 刘帅宾,李在军,周年兴,等. 中国省域消费水平及影响因素的时空异质性分析[J]. 地理科学, 2018(2): 186-194
[32] 潘文焰. 大型活动与旅游业的互动研究——基于“触媒效应”与“母体效应”理论[J]. 人文地理, 2012(6): 124-129
[33] 鄢继尧,赵媛,郝丽莎,等. 基于多源数据的中国非遗资源旅游利用潜力评价与分区研究[J]. 地理研究, 2023(12): 3294-3312
[34] 孙根年,幸迪. 2020—2022年COVID-19疫情对中国居民消费及消费结构的影响[J]. 地理学报, 2023(4): 894-912
[35] Taylor P. Specification of the world city network[J]. Geographical Analysis, 2001(2): 181-194
[36] 21世纪经济网.国际消费中心城市建设年度报告(2023)[EB/OL](2023-12-14)[2024-02-20].https://m.21jingji.com/mall/207.html.
[37] Li X C, Gong P, Zhou Y Y, et al. Mapping global urban boundaries from the global artificial impervious area (GAIA) data[J]. Environmental Research Letters, 2020(9): 094044
[38] 王永贵,孙豪,武优勐. 中国品牌建设的现状、逻辑与政策——探讨消费升级之路[J]. 北京行政学院学报, 2023(5): 100-109
[39] 孔旻蔚,胡宏,张宏韫,等. 2000—2020年长三角地区城市低碳竞争力时空演化[J]. 地理研究, 2023(10): 2713-2737
[40] 马茹,罗晖,王宏伟,等. 中国区域经济高质量发展评价指标体系及测度研究[J]. 中国软科学, 2019(7): 60-67
[41] 吴娟,曹卫东,张宇,等. 长江经济带消费中心城市时空特征及驱动因素[J]. 长江流域资源与环境, 2022(4): 759-769
[42] Alderson A S, Beckfield J. Power and position in the world city system[J]. American Journal of Sociology, 2004(4): 811-851
[43] 张维阳,唐可欣,刘雨. 中国金融企业全球扩张的城际关联网络演变研究[J]. 地理科学进展, 2023(11): 2143-2154
[44] 黄晓东,马海涛,苗长虹. 基于创新企业的中国城市网络联系特征[J]. 地理学报, 2021(4): 835-852
[45] 薛峰,马妍,李苗裔. 多维消费流视角的海峡西岸经济区城市网络结构[J]. 经济地理, 2021(5): 65-74
[46] 梁发超,朱润苗,刘黎明. 基于质量评价的乡村振兴类型识别及优化路径——以福建省为例[J]. 经济地理, 2023(3): 172-179
[47] 孙才志,董璐,郑德凤. 中国农村水贫困风险评价、障碍因子及阻力类型分析[J]. 资源科学, 2014(5): 895-905
[48] 陆枭麟,张京祥. 宏观经济环境变迁与城市大事件效应[J]. 国际城市规划, 2010(2): 68-73
[49] Henn S, Bathelt H. Knowledge generation and field reproduction in temporary clusters and the role of business conferences[J]. Geoforum, 2015, 58: 104-113
[50] Schuldt N, Bathelt H. International trade fairs and global buzz. Part II: Practices of global buzz[J]. European Planning Studies, 2011(1): 1-22
