数据要素利用率如何刺激企业全要素生产率:关于生产力悖论的讨论

IF 4.8 2区 经济学 Q1 BUSINESS, FINANCE International Review of Economics & Finance Pub Date : 2024-11-01 DOI:10.1016/j.iref.2024.103681
Yuheng Ren , Jue Zhang , Xin Wang
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引用次数: 0

摘要

通过利用数据要素激发全要素生产率是数字时代企业经营的重要关注点。本研究采用2011年至2022年A股上市公司的数据,考察数据利用对企业全要素生产率的影响和机制。研究结果表明,有效的数据利用能显著提高企业全要素生产率,但没有证据支持生产率困境。刺激效应是通过缓解投资低效和资源冗余实现的。进一步的分析验证了企业的财务表现和生命周期会导致异质性效应。具体而言,对经营业绩较差的企业以及成熟期和衰退期企业的积极影响更为明显。
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How does data factor utilization stimulate corporate total factor productivity: A discussion of the productivity paradox
Stimulating total factor productivity through the utilization of data factors is a crucial concern for companies operating in the digital era. This study employs data from A-share listed firms from 2011 to 2022 to examine the impact and mechanisms of data utilization on corporate total factor productivity. The findings reveal that effective data utilization can significantly improve corporate total factor productivity, but no evidence supports the productivity dilemma. The stimulating effects are achieved by alleviating investment inefficiency and resource redundancy. Further analysis verifies that firms’ financial performance and life cycle can lead to heterogeneous effects. Specifically, the positive impact is more pronounced in firms with lower operational performance and in periods of maturity and recession.
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来源期刊
CiteScore
7.30
自引率
2.20%
发文量
253
期刊介绍: The International Review of Economics & Finance (IREF) is a scholarly journal devoted to the publication of high quality theoretical and empirical articles in all areas of international economics, macroeconomics and financial economics. Contributions that facilitate the communications between the real and the financial sectors of the economy are of particular interest.
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