“东数西算”工程如何赋能数据要素——基于要素化、市场化和服务化的分析框架

How does the “East-to-West Computing Resource Transfer” Project Empower Data Elements? An Analytical Framework Based on Elementization, Marketization, and Serviceization

董竹,董思莹,马鹏飞

2026 第 52 卷 第 07 期 页码 4-18

DOI: 10.16538/j.cnki.jfe.20260610.401

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摘要

算力与数据要素是中国经济增长的新动能,异地算力部署已经成为促进企业数据要素开发利用的重要举措。为了检验算力基础设施建设对企业数据要素开发利用的影响,文章借助BERT和DeepSeek大语言模型对数据要素相关政策文件以及企业年报中管理层讨论与分析部分进行文本分析,构建了企业层面数据要素开发利用指标体系。文章基于2014—2023年中国沪深A股上市公司数据,以“东数西算”工程作为准自然实验,实证检验了该政策对企业数据要素开发利用的效果。研究发现,“东数西算”工程能够显著提高企业数据要素开发利用水平,这一促进作用是通过算力供给提升、算力运载协同、算力普惠渗透和算力应用赋能四个机制来实现。进一步分析发现,该促进作用在数据治理能力更强的企业、大型企业和算力需求敏感的行业更为显著,在市场化水平更高、数据开放程度更高以及营商环境更好的地区表现更明显。此外,“东数西算”工程能够促进区域经济增长、缓解区域发展不平衡并降低碳排放强度,从而实现区域绿色协调发展。文章揭示了算力基础设施的微观赋能机制,量化了“东数西算”工程的实施效果,对全国统筹推进算力网络体系建设、优化算力资源布局及充分释放数据要素价值具有重要的理论和实践意义。

Computing power and data elements have become new drivers of China’s economic growth, and cross-regional deployment of computing power has emerged as a key measure to facilitate the development and utilization (D&U) of enterprise data elements.

In order to examine the impact of computing infrastructure construction on the D&U of enterprise data elements, this paper uses the BERT and DeepSeek large language models to conduct text analysis on policy documents related to data elements and the MD&A sections of corporate annual reports, and constructs an indicator system for the D&U of enterprise data elements. Based on data from China’s A-share listed companies from 2014 to 2023, this paper treats the “East-to-West Computing Resource Transfer” project as a quasi-natural experiment and empirically examines its impact on the D&U of enterprise data elements. The results show that the project enhances the D&U of enterprise data elements, driven by four mechanisms: improved computing power supply, coordinated computing power transportation, inclusive penetration of computing power, and application-enabled computing power. Further analysis indicates that this effect is more pronounced among firms with stronger data governance capabilities, larger firms, and industries with higher sensitivity to computing power demand; it is stronger in regions with higher levels of marketization, higher levels of data openness, and better business environments. Additionally, the project fosters regional economic growth, alleviates development imbalances, and reduces carbon emission intensity, thereby facilitating coordinated green development.

The marginal contributions of this paper are reflected in the following aspects: First, by leveraging the policy shock of the “East-to-West Computing Resource Transfer”, it examines the impact of computing power infrastructure on the D&U of enterprise data elements and proposes the micro-level enabling mechanisms. Second, by integrating BERT’s semantic understanding capabilities with DeepSeek’s technical advantages, it constructs an indicator system for the firm-level D&U of data elements and offers a new methodology for constructing data element indicators. Third, it constructs a “elementization–marketization–servitization” framework for data and aligns the micro-level enabling mechanisms of the project with the process of the D&U of enterprise data elements, providing a new theoretical explanation for how the project promotes the D&U of enterprise data elements.

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数据公开

标题文件大小下载
2014-2023年东数西算的后果相关变量(区域经济增长,地方财政支出) 2.4 MB
2014-2023年东数西算赋能数据要素的机制变量(数实融合、智算中心建设、数字人才聚集、政府数字补贴、数字普惠金融水平) 3.1 MB
2014-2023年东数西算哑变量 2.5 MB
2014-2023年沪深A股上市公司的数据要素开发利用程度 3.5 MB
2014-2023年沪深A股上市公司的相关控制变量(企业规模、企业年龄、财务杠杆、盈利能力、企业性质、成长能力、董事会规模、机构投资者持股比例、两职合一、独立董事水平、经济发展水平、地方政府支出、网络基础设施) 6.2 MB
数据及程序代码 23.8 MB