数据资产入表能否成为企业加速器?——基于DID模型看数据资产入表对上市公司利润的效应测算
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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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    在党和国家对数字经济、数据要素给予高度重视的前提下,2024年,各有关部委进一步明确了数据资产入表的政策基础,数据要素的潜能得到进一步的激发。基于此背景,首次采用18家进行数据资产入表上市企业的面板数据,利用双重差分法(DID)研究数据资产入表对上市公司利润率指标的影响。结果发现,在当前的数据管理体制下,尽管数据资产入表对上市企业的利润率具有一定的正向影响,但这种影响仍然相对有限。尽管数据资产入表对于企业具有不可忽视的积极意义,但鉴于目前数据资产的价值评估体系还未在现行会计准则中得到充分体现,数据资产入表流程的成熟度有待提高,故而入表行为未能显著提升企业的整体利润水平。为进一步发挥数据资产潜力,使得入表企业更好地收获入表红利,未来政策可将着眼点落于优化数据资产的管理和评估体系之上,加强数据资产市场化应用,同时兼顾相关会计准则和法规的纵深贯彻,助力数据资产价值显现,为企业盘活数据资源,助力利润增长提供有力抓手。

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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.

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薛扬荣,周康林,徐照宜,高嘉尉,许云龙,胡展畅.数据资产入表能否成为企业加速器?——基于DID模型看数据资产入表对上市公司利润的效应测算[J].科技与产业,2025,25(12):212-220

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  • 在线发布日期: 2025-06-30
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