Role of computing power infrastructure in shaping the geographic landscape AI enterprise in China
文献类型：期刊论文
| 作者 | Du, Fangye2; Wang, Jiaoe1,3; Zhang, Pei4 |
| 刊名 | APPLIED GEOGRAPHY
 |
| 出版日期 | 2026-04-01 |
| 卷号 | 189页码:103946 |
| 关键词 | Data center Digital infrastructure Moderation effect Spatial heterogeneity China |
| ISSN号 | 0143-6228 |
| DOI | 10.1016/j.apgeog.2026.103946 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | With the acceleration of digital transformation, demand for computing resources has surged, positioning computing power infrastructure (CPI) as a critical driver of emerging industries and a new force reshaping the geography of economic activity. Although existing research has examined the regional patterns of CPI, the mechanisms through which it shapes industrial spatial dynamics remain insufficiently understood. Using the artificial intelligence (AI) industry as an empirical case, this study applies a structural equation model to investigate how CPI, measured primarily through the service coverage and capacity of data centers, influences the spatial distribution of AI enterprises. The results show that: (1) CPI and AI enterprises exhibit strong spatial coupling, characterized by a marked east-west imbalance, although signs of synergistic growth have begun to appear in several regions. (2) The spatial configuration of AI enterprises is shaped by multiple forces, with CPI, economic development, innovation environment, policy support, and traditional infrastructure emerging as the most influential. A bidirectional but asymmetric relationship is observed between CPI and AI enterprise agglomeration. (3) The impact of CPI on AI enterprise location choices is significantly strengthened by regional economic development, innovation conditions, policy environment, and transportation and digital connectivity, which together enhance its ability to guide industrial clustering. This study provides new empirical evidence for understanding how digital infrastructure reorganizes spatial resource allocation, and offers policy implications for optimizing the spatial deployment of AI enterprises, improving regional CPI efficiency, and promoting more balanced digital development. |
| URL标识 | 查看原文 |
| WOS关键词 | ECONOMIC-DEVELOPMENT ; LOCATION ; DIFFUSION ; POLICY ; FIRM |
| WOS研究方向 | Geography |
| 语种 | 英语 |
| WOS记录号 | WOS:001704251000001 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221286]  |
| 专题 | 区域可持续发展分析与模拟院重点实验室_外文论文 |
| 通讯作者 | Wang, Jiaoe |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Reg Sustainable Dev Modeling, 11A Datun Rd, Beijing 100101, Peoples R China; 2.Shandong Normal Univ, Coll Geog & Environm, Jinan 250358, Peoples R China; 3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China; 4.China Acad Civil Aviat Sci & Technol, Beijing 100028, Peoples R China |
| 推荐引用方式 GB/T 7714 | Du, Fangye,Wang, Jiaoe,Zhang, Pei. Role of computing power infrastructure in shaping the geographic landscape AI enterprise in China[J]. APPLIED GEOGRAPHY,2026,189:103946. |
| APA | Du, Fangye,Wang, Jiaoe,&Zhang, Pei.(2026).Role of computing power infrastructure in shaping the geographic landscape AI enterprise in China.APPLIED GEOGRAPHY,189,103946. |
| MLA | Du, Fangye,et al."Role of computing power infrastructure in shaping the geographic landscape AI enterprise in China".APPLIED GEOGRAPHY 189(2026):103946. |
入库方式： OAI收割
来源：地理科学与资源研究所
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