信息通信技术与政策

信息通信技术与政策

信息通信技术与政策 ›› 2026, Vol. 52 ›› Issue (7): 72-78.doi: 10.12267/j.issn.2096-5931.2026.07.010

专题:算电协同技术与应用 上一篇    下一篇

算电协同政策落地与产业生态优化路径研究

Research on policy implementation and industrial ecosystem optimization paths for computing-power synergy

贾宝付, 高立山   

  1. 中国信息通信研究院后勤服务中心, 北京 100191
  • 收稿日期:2026-06-20 出版日期:2026-07-25 发布日期:2026-07-30
  • 作者简介:
    贾宝付, 中国信息通信研究院后勤服务中心物业组副组长,助理工程师,主要研究领域为智慧能源、绿色节能、智慧园区等
    高立山, 中国信息通信研究院后勤服务中心工程师,主要研究领域为绿色节能、智慧园区等

JIA Baofu, GAO Lishan   

  1. Logistics Service Center, China Academy of Information and Communications Technology, Beijing 100191, China
  • Received:2026-06-20 Online:2026-07-25 Published:2026-07-30

摘要:

算电协同政策落地面临多部门协同失灵、跨区域制度壁垒、执行保障缺位等系统性障碍,产业发展同时受制于“通信-电力”产业链协同不足、技术经济性瓶颈与复合型人才供给侧短缺。立足新制度经济学与产业生态理论,构建“三维四层”分析框架,系统识别“政策-产业-人才”3个维度的关键壁垒及其交互机制。基于公开政策文件、行业统计与典型案例分析,揭示政策协同度、跨区域衔接成本、市场激励有效性等核心问题。提出以企业自主优化、行业市场化协同、地方轻量化配套为核心的算电协同落地实施路径,适配通信分布式算力特征,完善产业链协同与企业自主育才实施策略。

关键词: 算电协同, 通信算力, 政策落地壁垒, 产业生态, 协同治理, 人才培养

Abstract:

The implementation of computing-power synergy policies faces systemic obstacles such as multi-departmental coordination failure, cross-regional institutional barriers, and a lack of implementation safeguards. Industrial development is simultaneously constrained by insufficient collaboration in the “communication-power” industrial chain, techno-economic bottlenecks, and a supply-side shortage of interdisciplinary talent. Drawing on new institutional economics and industrial ecosystem theory, this study constructs a “three-dimensional, four-layer” analytical framework to systematically identify key barriers across the three dimensions of “policy-industry-talent” and their interaction mechanisms. Based on publicly available policy documents, industry statistics, and typical case analysis, it reveals core issues such as the degree of policy coordination, cross-regional connection costs, and the effectiveness of market incentives. This paper puts forward implementation paths centered on enterprise self-optimization, market-oriented industrial coordination and lightweight local supporting services, and improves industrial chain coordination and enterprise independent talent training strategies adapted to the distributed computing power characteristics of the communications industry.

Key words: computing-power synergy, communication computing power, policy implementation barriers, industrial ecosystem, collaborative governance, cross-disciplinary talent ecosystem

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