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Can Data Asset Recognition Be a Catalyst for Enterprises?: Estimating the Impact of Data Asset Recognition on Listed Companies’ Profits Based on the DID Model
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Yangrong XUE1, Kanglin ZHOU2, Zhaoyi XU3, Jiawei GAO4, Yunlong XU5, Zhanchang HU6
Science Technology and Industry | 2025, 25(12) : 212 - 220
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Science Technology and Industry | 2025, 25(12): 212-220
Enterprise Application
Can Data Asset Recognition Be a Catalyst for Enterprises?: Estimating the Impact of Data Asset Recognition on Listed Companies’ Profits Based on the DID Model
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Yangrong XUE1, Kanglin ZHOU2, Zhaoyi XU3, Jiawei GAO4, Yunlong XU5, Zhanchang HU6
Affiliations
  • 1 Yangtze Delta Region Institute of Tsinghua University, Zhejiang,Jiaxing 314006, Zhejiang, China
  • 2 Institute of Economics, Tsinghua University, Beijing 100084, China
  • 3 School of Economics and Management, Tsinghua University, Beijing 100084, China
  • 4 School of Finance, Nankai University, Tianjin 300353, China
  • 5 Yangtze Delta Institute of Future Industries, Shanghai 200438, China
  • 6 School of Business, Shandong University, Weihai 264200, Shandong, China
Published: 2025-06-25
Outline
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Under the backdrop of the Chinese government’s emphasis on the digital economy and data elements, relevant ministries and commissions further clarify the policy framework for the inclusion of data assets in corporate financial statements in 2024, thereby unlocking greater potential for data elements. Against this background, the panel data firstly used from 18 companies that had incorporated data assets into their financial statements, employing the Difference-in-Differences(DID) method to examine the impact of data asset inclusion on profitability metrics of listed companies. The findings reveal that, under the current data management framework, while the inclusion of data assets positively influences the profitability of listed companies, the impact remains relatively limited. Despite the undeniable positive significance of data asset inclusion for enterprises, the process has yet to significantly boost overall corporate profitability. This limitation arises from the fact that the value assessment system for data assets is not yet fully reflected in the existing accounting standards, and the maturity of the inclusion process requires further improvement. To better harness the potential of data assets and enable companies to reap the benefits of their inclusion, future policies should focus on optimizing the management and valuation systems for data assets, enhancing the market-driven application of these assets, and ensuring deeper integration of relevant accounting standards and regulations. These measures would help unlock the value of data assets, activate corporate data resources, and provide robust support for profit growth.

data asset  /  data asset recognition  /  difference-in-differences(DID)  /  accounting treatment  /  data finance
Yangrong XUE, Kanglin ZHOU, Zhaoyi XU, Jiawei GAO, Yunlong XU, Zhanchang HU. Can Data Asset Recognition Be a Catalyst for Enterprises?: Estimating the Impact of Data Asset Recognition on Listed Companies’ Profits Based on the DID Model[J]. Science Technology and Industry, 2025 , 25 (12) : 212 -220 .
Year 2025 volume 25 Issue 12
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Article Info
  • Receive Date:2024-11-25
  • Online Date:2025-12-17
  • Published:2025-06-25
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  • Received:2024-11-25
Affiliations
    1 Yangtze Delta Region Institute of Tsinghua University, Zhejiang,Jiaxing 314006, Zhejiang, China
    2 Institute of Economics, Tsinghua University, Beijing 100084, China
    3 School of Economics and Management, Tsinghua University, Beijing 100084, China
    4 School of Finance, Nankai University, Tianjin 300353, China
    5 Yangtze Delta Institute of Future Industries, Shanghai 200438, China
    6 School of Business, Shandong University, Weihai 264200, Shandong, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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