| 94 | 0 | 1 |
| Downloads | Citas | Reads |
Currently,enterprises in certain emerging industries collaborate along the value chain,creating localized “value concentration”.This phenomenon urgently requires a theoretical explanation regarding its underlying drivers and determinants.Drawing on 2015-2023 firm-level data from Shanghai and Shenzhen A-share listed companies and the New Third Board,this study calculates a city-level value chain agglomeration index for the digital industry and employs a two-way fixed-effects model to examine how emerging determinants and general factors impact the agglomeration of value chain segments in the digital industry,alongside their heterogeneous effects across cities.The results indicate that:(1)China's digital industry exhibits a prominent division of labor along the value chain and distinct characteristics of the agglomeration of value chain segments.(2)The industry demonstrates a transitional trend from the“geographic clustering of industrial activities” to the “agglomeration of value chain segments”.(3)The value economy and virtual economy have become core drivers of this agglomeration.Emerging determinants,particularly technological innovation,have replaced general factors as the key variables driving the agglomeration of value chain segments in the digital industry.(4)The promoting effect of emerging determinants on this agglomeration is more pronounced in urban agglomerations,large cities,and cities with superior digital environments.As the forms,drivers,and determinants of China's digital industry agglomeration have undergone transformation,localities must innovate agglomeration management models,tailor digital development to local conditions,and enhance digital infrastructure and technological innovation capabilities.
[1] SCOTT A J.Economic geography:the great half-century[J].Cambridge journal of economics,2000,24(4):483-504.
[2] KIM Y,ORAZEM P F.Broadband internet and new firm location decisions in rural areas[J].American journal of agricultural economics,2017,99(1):1-18.
[3] MALMBERG A,MASKELL P.Towards an explanation of regional specialization and industry agglomeration[J].European planning studies,1997,5(1):25-41.
[4] MALMBERG A,MASKELL P.The elusive concept of localization economies:towards a knowledge-based theory of spatial clustering[J].Environment and planning A:economy and space,2002,34(3):429-449.
[5] 蔡宁,杨闩柱.企业集群竞争优势的演进:从“聚集经济”到“创新网络”[J].科研管理,2004(4):104-109.
[6] KERR W R,ROBERT-NICOUD F.Tech clusters[J].Journal of economic perspectives,2020,34(3):50-76.
[7] 姜芮,孟令航,刘帮成.科技创新人才集聚度与区域经济高质量发展的空间特征——基于空间计量和面板门槛模型的实证分析[J].经济问题探索,2023(10):59-72.
[8] STURGEON T J.What really goes on in Silicon Valley?Spatial clustering and dispersal in modular production networks[J].Journal of economic geography,2003,3(2):199-225.
[9] HUMPHREY J,SCHMITZ H.How does insertion in global value chains affect upgrading in industrial clusters?[J].Regional studies,2002,36(9):1017-1027.
[10] 李栋,张映芹,李开源.数字产业集聚、地方政府干预与地区绿色全要素生产率[J].统计与信息论坛,2025,40(4):48-60.
[11] 任保平,陈婧文.从单向赋能到双向融合:实体经济与数字经济深度协同发展的新范式[J].西安财经大学学报,2026,39(1):1-11.
[12] 林木西,牙颖毅.“十五五”时期促进实体经济和数字经济深度融合的理论机理与现实路径[J].西安财经大学学报,2026,39(2):1-11.
[13] FERNANDEZ-ESCOBEDO R,CUEVAS-VARGAS H.The digital industrial cluster(DIC) in a post-pandemic era:exploring its theoretical deployment and potential benefits[J].Procedia computer science,2023,221(8):1131-1138.
[14] VAN DEN BERG L,BRAUN E,VAN WINDEN W.Growth clusters in European cities:an integral approach[J].Urban studies,2001,38(1):185-205.
[15] BATHELT H,MALMBERG A,MASKELL P.Clusters and knowledge:local buzz,global pipelines and the process of knowledge creation[J].Progress in human geography,2004,28(1):31-56.
[16] 赵放,徐熠.我国数字产业集聚竞争态势比较与影响因素分析——以十九大城市群的实证数据为例[J].贵州社会科学,2024(6):138-145.
[17] 郑林昌,刘焕景,耿傲淼.数字产业价值集聚对城市经济发展的影响:演化特征、指数测度与空间效应[J].现代财经(天津财经大学学报),2025,45(10):39-57.
[18] 杨珂,余卫.经济集聚驱动数字经济发展的机制路径与演化特征研究[J].统计与信息论坛,2023,38(5):27-40.
[19] 韩君,葛春瑞.新型数字基础设施助推企业数字化转型机制研究[J].西安财经大学学报,2025,38(3):13-24.
[20] 纪玉俊,梁爽,郑敏婕.面向新质生产力的数字产业集群竞争力评价研究[J].统计与信息论坛,2026,41(1):19-32.
[21] 赵放,蒋国梁,樊贝婷,等.数字产业集聚对区域经济高质量发展的影响[J].中国软科学,2025(5):116-129.
[22] 周密,邢明强.数字经济与省域资源配置效率提升:理论机制与实证检验[J].山西大学学报(哲学社会科学版),2025,48(5):75-87.
[23] 彭继增,彭桃强.数字基础设施赋能城市经济高质量发展[J].统计与信息论坛,2025,40(11):38-54.
[24] 丁任重,张航.城市首位度与区域经济增长的互动——基于空间多重形式分析[J].当代经济科学,2020,42(5):16-27.
[25] 张建平,张旭.环境治理对实体企业研发投入强度的影响研究[J].科学决策,2024(6):16-31.
[26] 孙晓华,郭旭,王昀.产业转移、要素集聚与地区经济发展[J].管理世界,2018,34(5):47-62.
[27] 叶堂林,刘哲伟,张京亮.数字产业空间集聚影响因素探析[J].科技进步与对策,2023,40(15):75-82.
[28] 宋春合,吴福象.城市基础设施对集聚经济的影响研究——基于总量和结构的双重视角[J].现代经济探讨,2018(8):82-90.
[29] 聂爱云,潘孝虎.数字经济能否提升地方政府治理能力?——基于中国275个城市2011—2019年面板数据的实证检验[J].经济社会体制比较,2023(6):109-120.
[30] 黄群慧,余泳泽,张松林.互联网发展与制造业生产率提升:内在机制与中国经验[J].中国工业经济,2019(8):5-23.
[31] 刘娟,刘梦洁,潘梓桐.服务外包有助于促进中国制造业企业“走出去”吗——“两业融合”视角下的准自然实验[J].国际贸易问题,2023(12):132-150.
(1)本文构建的数字产业分类体系由23个大类产业、62个中类产业和215个小类产业组成,分类过程和分类体系详见郑林昌等的研究。
(2)从上市公司的年报中提取营业收入、应交税费等经营数据,注册资本、员工人数等采用企业注册时提供的数据。
(3)因篇幅所限,未提供具体筛选过程和筛选结果,留存备索。
(4)图2反映了测算结果,篇幅所限,不再详细分析申万行业分类、新三板行业分类下的数字产业价值系数。
(5)因篇幅所限,数字产业价值集聚的事实与特征部分未列示样本城市的数字产业专业化集聚指数、数量集中度指数、规模集中度指数、行业集中度指数和价值集聚指数评价值,留存备索,下同。
(6)各项控制变量的稳健性检验结果与基准回归结果保持一致,因此表3中不再详细列示控制变量经济发展水平(RGDP)、居民收入水平(INC)、从业人员规模(PRA)、传统基础设施(INFR)的检验结果。列(7)~(9)的控制变量不包括经济发展水平(RGDP)。
Basic Information:
DOI:10.20207/j.cnki.1007-3116.20260515.003
China Classification Code:F832.51;F49
Citation Information:
[1]ZHENG Linchang,XUE Binghua,CHEN Ge.Value Chain Agglomeration in the Digital Industry: Evolutionary Patterns and Shifting Drivers[J].Journal of Statistics and Information,2026,41(05):27-40.DOI:10.20207/j.cnki.1007-3116.20260515.003.
Fund Information:
国家社会科学基金重大项目“协同推进降碳、减污、扩绿、增长的体制机制研究”(23ZDA106);国家社会科学基金重点项目“数字产业价值空间集聚及其对区域经济发展影响的统计测度研究”(20ATJ004)
2026-05-18
2026-05-18
2026-05-18