数字技术如何提升企业全要素生产率?来自文本分析的经验证据

Shu Chen
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引用次数: 0

摘要

数字经济与实体经济深度融合是新时代实现高质量发展的必由之路。本文基于2012 - 2021年中国上市公司数据,运用OLS回归模型实证研究数字技术对企业全要素生产率的驱动作用。研究结果表明,数字技术的提升可以显著提高企业的全要素生产率。同时,本文选取企业创新能力、成本和人力资本结构作为中介变量进行机制检验,验证数字技术影响企业全要素生产率的具体路径。通过群体回归进行异质性研究,发现数字技术对企业全要素生产率的提升作用在非高新技术产业企业和国有企业更为明显。最后,本文还通过替换自变量和因变量进行了稳健性检验,以证明上述结论的稳健性。本研究为数字技术对企业效率的促进作用提供了微观证据,对提高全要素生产率、实现经济高质量发展具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How Does Digital Technology Drive Total Factor Productivity in Enterprises? Empirical Evidence from Text Analysis
The deep integration of the digital economy with the real economy is a crucial pathway to achieving high-quality development in the new era. Based on the data of listed companies in China from 2012 to 2021, this paper uses the OLS regression model to empirically study how digital technology drives the total factor productivity of enterprises. The research results show that the enhancement of digital technology can significantly increase the total factor productivity of enterprises. At the same time, this paper selects enterprise innovation ability, cost and human capital structure as mediating variables to conduct mechanism tests to verify the specific path of digital technology affecting enterprise total factor productivity. Through group regression for heterogeneity research, this paper finds that the promotion effect of digital technology on enterprise total factor productivity is more obvious in non- high-tech industry enterprises and state-owned enterprises. Finally, this paper also conducts a robustness test by replacing the independent and dependent variables to prove the robustness of the above conclusions. This study provides micro evidence for the promotion effect of digital technology on enterprise efficiency, which is of great significance for enhancing total factor productivity and achieving high-quality economic development.
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