Volume 40 Issue 6
Nov.  2025
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FENG Haibo, WANG Jiaojiao. Data Empowerment: Data Element Sharing and the Integration of Digital and Real Economy Technologies in Enterprises[J]. Journal of Guangdong University of Finance & Economics, 2025, 40(6): 15-30.
Citation: FENG Haibo, WANG Jiaojiao. Data Empowerment: Data Element Sharing and the Integration of Digital and Real Economy Technologies in Enterprises[J]. Journal of Guangdong University of Finance & Economics, 2025, 40(6): 15-30.

Data Empowerment: Data Element Sharing and the Integration of Digital and Real Economy Technologies in Enterprises

  • Received Date: 2025-09-02
    Available Online: 2025-12-17
  • Publish Date: 2025-11-28
  • The deep integration of the digital economy and the real economy is characterized by significant data-driven features. Public data opening, as an important channel for the supply of data elements, lays a crucial data foundation for enterprises to achieve the integration of digital and real economy technologies. This study constructs a quasi-natural experiment based on the public data opening platforms of various prefecture-level cities in China and uses a multi-period difference-in-differences method to examine the impact of public data opening on the integration of digital and real economy technologies in enterprises. The results show that public data opening can promote the integration of digital and real economy technologies in enterprises, mainly through the mechanisms such as reducing transaction costs, promoting digital transformation, and enhancing innovation efficiency. Heterogeneity analysis reveals that public data opening has a more significant promoting effect on the integration of digital and real economy technologies in small-scale enterprises, non-high-tech enterprises, and enterprises located in cities with low levels of digital infrastructure construction and high economic development levels. Based on the research on the quality dimensions of opening, it is found that the overall quality of public data opening, data quality, and platform construction quality play a major role in the integration of digital and real economy technologies in enterprises, while the role of policy guarantee strength has not yet been highlighted, and the intensity of policy supply in digital economy plays a reverse regulatory role in this process. The conclusions of this study provide empirical evidence for improving data empowerment policies and realizing the dividend effect of public data opening in promoting the integration of digital and real economy technologies.
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  • [1]
    方锦程, 刘颖, 高昊宇, 等. 公共数据开放能否促进区域协调发展?——来自政府数据平台上线的准自然实验[J]. 管理世界, 2023(9): 124-142.
    [2]
    欧阳伊玲, 王愉靖, 李平, 等. 数据要素与城投债定价: 基于公共数据开放的准自然实验[J]. 世界经济, 2024(2): 174-203.
    [3]
    蔡运坤, 周京奎, 袁旺平. 数据要素共享与城市创业活力——来自公共数据开放的经验证据[J]. 数量经济技术经济研究, 2024(8): 5-25.
    [4]
    蓝发钦, 胡晓敏, 徐卓琳. 公共数据开放能否拓展资本跨区域流动距离——基于异地并购视角[J]. 中国工业经济, 2024(9): 156-174.
    [5]
    彭远怀. 政府数据开放的价值创造作用: 企业全要素生产率视角[J]. 数量经济技术经济研究, 2023(9): 50-70.
    [6]
    王海, 叶帅, 尹俊雅. 公共数据开放如何提振企业有效投资——基于产能利用视角[J]. 中国工业经济, 2024(8): 137-153.
    [7]
    沈坤荣, 林剑威. 链"岛"成"陆": 公共数据开放的技术创新效应研究[J]. 管理世界, 2025(2): 83-104.
    [8]
    李长英, 王曼, 张帅. 公共数据开放对民营企业创新的影响[J]. 广东财经大学学报, 2025(2): 4-21. doi: 10.20209/j.gcxb.441711.20250321.002
    [9]
    郭晗, 全勤慧. 数字经济与实体经济融合发展: 测度评价与实现路径[J]. 经济纵横, 2022(11): 72-82.
    [10]
    洪银兴, 任保平. 数字经济与实体经济深度融合的内涵和途径[J]. 中国工业经济, 2023(2): 5-16.
    [11]
    任保平, 苗新宇. 数字经济与实体经济深度融合的微观内涵、发展机理和政策取向[J]. 中南大学学报(社会科学版), 2024(3): 88-98.
    [12]
    陈雨露. 数字经济与实体经济融合发展的理论探索[J]. 经济研究, 2023(9): 22-30.
    [13]
    王晓丹, 石玉堂, 刘达. 数据要素市场化配置对数实融合的影响研究——基于数据交易平台设立的准自然实验[J]. 广东财经大学学报, 2024(2): 44-58. doi: 10.20209/j.gcxb.441711.2024.02.004
    [14]
    周密, 王雷, 郭佳宏. 新质生产力背景下数实融合的测算与时空比较——基于专利共分类方法的研究[J]. 数量经济技术经济研究, 2024(7): 5-27.
    [15]
    张晖, 李靖, 权天舒. 数字基础设施建设促进了数字经济与实体经济融合吗?——基于"宽带中国"战略的准自然实验[J]. 经济问题探索, 2023(10): 1-15.
    [16]
    吕越, 陈泳昌, 张昊天, 等. 电商平台与制造业企业创新——兼论数字经济和实体经济深度融合的创新驱动路径[J]. 经济研究, 2023(8): 174-190.
    [17]
    依绍华, 吴顺利, 梁威. 数实融合发展如何驱动全国统一大市场建设[J]. 广东财经大学学报, 2025(4): 4-20. doi: 10.20209/j.gcxb.441711.20250728.002
    [18]
    王晓丹, 石玉堂, 刘达. 公共数据开放能促进数字经济与实体经济融合吗?——来自政府数据平台上线的准自然实验[J]. 南方经济, 2024(9): 25-44.
    [19]
    KIM T S, SOHN Y. Machine-learning-based deep semantic analysis approach for forecasting new technology convergence[J]. Technological Forecasting and Social Change, 2020, 157: 120095. doi: 10.1016/j.techfore.2020.120095
    [20]
    李泽宇, 王雪方, 陈新芳. 政府数据开放对企业创新的影响效应及机制研究[J]. 科研管理, 2024(7): 11-20.
    [21]
    NAGARAJ A. The private impact of public data: landsat satellite maps increased gold discoveries and encouraged entry[J]. Management Science, 2022, 68(1): 564-582. doi: 10.1287/mnsc.2020.3878
    [22]
    戚聿东, 肖旭. 数字经济时代的企业管理变革[J]. 管理世界, 2020(6): 135-152.
    [23]
    李荣华, 王娇娇, 张磊. 公共数据开放的新质生产力效应——基于企业数字创新视角[J]. 财经研究, 2025(10): 1-15.
    [24]
    张宏, 刘小迪. 制造业企业数字化对出口国内附加值率的影响研究[J]. 山东师范大学学报(社会科学版), 2024(5): 75-88.
    [25]
    韩奇, 杨秀云. 公共数据开放能否促进企业数字化转型?[J]. 现代经济探讨, 2024(4): 44-59.
    [26]
    ZHANG Y, GUO X M. Digital transformation of enterprises and the governance of executive corruption: empirical evidence based on text analysis[J]. Journal of Global Information Management, 2022, 30(11): 1-18.
    [27]
    张苏缘, 许珩哲. 数字经济对文化产业创新的影响效应[J]. 山东师范大学学报(社会科学版), 2025(5): 109-122.
    [28]
    李宏兵, 孙丽棠, 万海远. 公共数据开放与企业数字劳动需求[J]. 管理世界, 2025(9): 148-170.
    [29]
    石绍宾, 李兆辉, 陈卓. 信息公开的力量: 公共数据开放提高政府支出效率了吗[J]. 财经问题研究, 2025(10): 64-77.
    [30]
    陈艳利, 蒋琪. 数据生产要素视角下开放公共数据与企业创新——基于建立公共数据开放平台的准自然实验[J]. 经济管理, 2024(1): 25-46.
    [31]
    EINAV L, LEVIN J. Economics in the age of big data[J]. Science, 2014, 346(6210): 1243089. doi: 10.1126/science.1243089
    [32]
    CIAMPI F, DEMI S, MAGRINI A, et al. Exploring the impact of big data analytics capabilities on business model innovation: the mediating role of entrepreneurial orientation[J]. Journal of Business Research, 2021, 123: 1-13. doi: 10.1016/j.jbusres.2020.09.023
    [33]
    CIRIELLO R F, ALEXANDER R, GERHARD S. Digital innovation[J]. Business & Information Systems Engineering, 2018, 60(6): 563-569.
    [34]
    CAI J, LI N. Growth through inter-sectoral knowledge linkages[J]. The Review of Economic Studies, 2019, 86(5): 1827-1866. doi: 10.1093/restud/rdy062
    [35]
    ACEMOGLU D, AKCIGIT U, CELIK M A. Radical and incremental innovation: the roles of firms, managers, and innovators[J]. American Economic Journal: Macroeconomics, 2022, 14(3): 199-249. doi: 10.1257/mac.20170410
    [36]
    黄先海, 高亚兴. 数实技术融合与企业全要素生产率——基于中国企业专利信息的研究[J]. 中国工业经济, 2023(11): 118-136.
    [37]
    杨义武, 林万龙, 张莉琴. 地方公共品供给与人口迁移——来自地级及以上城市的经验证据[J]. 中国人口科学, 2017(2): 93-103.
    [38]
    白俊, 袁勋, 乔君. 放松市场准入管制与企业跨地区投资——基于负面清单制度试点的准自然实验[J]. 财经研究, 2024(4): 64-78.
    [39]
    高远东, 陆子顺, 项后军. 企业数字化与技术采用: 中国整体技术升级路径的探讨[J]. 经济研究, 2025(1): 143-159.
    [40]
    徐妍, 毕梦潇, 柴映. 数实融合提升关键核心技术领域企业创新效率的研究——基于中国A股上市公司的数据检验[J]. 科研管理, 2025(4): 1-18.
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