Network spatial patterns and determinants of China’s hometown chambers of commerce

Based on the establishment data of provincial-provincial, city-city, provincial-city, city-provincial Hometown Chambers of Commerce (HCC) in China by the end of 2022, this paper combines social network analysis and exponential random graph model to explore the network spatial patterns and determinants of China’s HCC.The primary data on HCC establishments as of the end of 2022 were obtained from the Tianyancha platform (https://www.tianyancha.com/), a widely used enterprise credit information database in China. Given the possibility of registration inconsistencies, missing information, or duplicate records, we conducted a multi-step validation process to ensure data reliability.GDP, per capita GDP, and local general public budget expenditure data were all sourced from the China Statistical Yearbook and China Urban Statistical Yearbook. The dialect data were derived from the Atlas of Languages in China, including nine dialects: Xiang, Gan, Hui, Wu, Zhongyuan Mandarin, Jianghuai Mandarin, Southwest Mandarin, Hakka, and others. The urban agglomeration data were obtained from the 14th Five-Year Plan for National Economic and Social Development of the People's Republic of China, which mentions 19 urban agglomerations. The road distance data were calculated based on the shortest intercity highway distances from the 2022 Amap (Gaode Map) database. <br><br>

本研究基于截至2022年末中国省-省、市-市、省-市、市-省同乡会（Hometown Chambers of Commerce, HCC）的设立数据，结合社会网络分析与指数随机图模型，探究中国同乡会网络的空间格局及其影响因素。<br>截至2022年末的同乡会设立基础数据，取自国内广泛使用的企业征信数据库天眼查（Tianyancha，https://www.tianyancha.com/）。考虑到可能存在的登记信息不一致、信息缺失或重复记录问题，本研究通过多步骤验证流程以保障数据可靠性。<br>国内生产总值（GDP）、人均GDP以及地方一般公共预算支出数据，均取自《中国统计年鉴》与《中国城市统计年鉴》。方言数据源自《中国语言地图集》，涵盖湘语、赣语、徽语、吴语、中原官话、江淮官话、西南官话、客家话及其他共九大类方言。城市群数据取自《中华人民共和国国民经济和社会发展第十四个五年规划和2035年远景目标纲要》，该规划提及19个国家级城市群。道路距离数据则基于2022年高德地图（Amap）数据库的城际最短公路距离测算得到。