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数字政府对企业全要素生产率的影响。

The effect of digital government on corporate total factor productivity.

机构信息

School of Finance, Zhejiang Gongshang University, Hangzhou, China.

School of Government Policy and Public Relations, University of Chinese Academy of Social Sciences, Beijing, China.

出版信息

PLoS One. 2024 Sep 12;19(9):e0308093. doi: 10.1371/journal.pone.0308093. eCollection 2024.

DOI:10.1371/journal.pone.0308093
PMID:39264876
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11392415/
Abstract

This study examines the influence of digital government initiatives on corporate total factor productivity (TFP). Employing a difference-in-differences (DID) methodology and analyzing data from publicly listed companies spanning the period 2010 to 2020, we investigate the impact of digital governance on corporate TFP. Our findings reveal a noteworthy positive effect, with an average TFP increase of 5%. Further exploration through heterogeneity analysis indicates that this impact is particularly pronounced in regions with robust network infrastructure, increased marketization, and decreased economic uncertainty, particularly among privately-owned enterprises. Moreover, we identify key mechanisms through which digital governance fosters this enhancement in TFP, including the facilitation of technological innovation, efficient allocation of high-skilled labor, and improved investment efficiency. Our research underscores the significant role of digital government initiatives in bolstering corporate TFP and contributes to a deeper understanding of the mechanisms underlying this relationship.

摘要

本研究考察了数字政府倡议对企业全要素生产率(TFP)的影响。我们采用双重差分(DID)方法,利用 2010 年至 2020 年期间上市公司的数据,研究了数字治理对企业 TFP 的影响。研究结果表明,数字治理对企业 TFP 有显著的正向影响,平均 TFP 提高了 5%。进一步的异质性分析表明,这种影响在网络基础设施稳健、市场化程度提高和经济不确定性降低的地区更为明显,特别是在私营企业中。此外,我们还确定了数字治理促进 TFP 提高的关键机制,包括促进技术创新、高效配置高技能劳动力和提高投资效率。本研究强调了数字政府倡议在提高企业 TFP 方面的重要作用,为深入理解这种关系的机制提供了依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39c6/11392415/96eccc731088/pone.0308093.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39c6/11392415/011ba219696e/pone.0308093.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39c6/11392415/81b133fb99a3/pone.0308093.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39c6/11392415/69ab2a0f0be4/pone.0308093.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39c6/11392415/96eccc731088/pone.0308093.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39c6/11392415/011ba219696e/pone.0308093.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39c6/11392415/81b133fb99a3/pone.0308093.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39c6/11392415/69ab2a0f0be4/pone.0308093.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/39c6/11392415/96eccc731088/pone.0308093.g004.jpg

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The impact of digital transformation on the total factor productivity of heavily polluting enterprises.数字化转型对重污染企业全要素生产率的影响。
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