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The effect of digital government on corporate total factor productivity.
Chen, Shihao; Wang, Xiaojun; Gan, Tian; Gui, Guanqi.
Afiliação
  • Chen S; School of Finance, Zhejiang Gongshang University, Hangzhou, China.
  • Wang X; School of Government Policy and Public Relations, University of Chinese Academy of Social Sciences, Beijing, China.
  • Gan T; School of Business, East China University of Science and Technology, Shanghai, China.
  • Gui G; Investment Banking Committee Haitong Securities Co. Ltd., Shanghai, China.
PLoS One ; 19(9): e0308093, 2024.
Article em En | MEDLINE | ID: mdl-39264876
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Governo Limite: Humans Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Governo Limite: Humans Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China País de publicação: Estados Unidos