Digital finance and green innovation efficiency : empirical data from Chinese listed manufacturing companies

© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature..

Amid the flourishing digital economy, digital finance overcomes the constraints of the conventional financial model and largely improves the supply efficiency and use of funds. This provides new opportunities for manufacturing corporations to improve their green innovation efficiency. Employing Chinese Shenzhen and Shanghai A-share listed manufacturing corporations between 2011 and 2021, this paper conducts an empirical analysis to study the effect of digital finance on corporate green innovation efficiency. Discoveries suggest that digital finance significantly improves manufacturing corporations' green innovation efficiency. After a few robustness tests, the results are still accurate. According to a mechanism analysis, digital finance increases the effectiveness of green innovation in manufacturing corporations by removing financing constraints. According to the heterogeneity analysis, the impact of digital finance on manufacturing corporations exhibits distinctive financial and geographical regional heterogeneity, particularly accentuated in Zhejiang Province and the central and western regions. This paper can provide a valuable reference for digital finance in supporting manufacturing corporations in green innovation ventures and improving the level of green innovation in the context of digitalization.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:31

Enthalten in:

Environmental science and pollution research international - 31(2024), 1 vom: 14. Jan., Seite 371-383

Sprache:

Englisch

Beteiligte Personen:

Lu, Hongyu [VerfasserIn]
Cheng, Zhao [VerfasserIn]

Links:

Volltext

Themen:

Digital finance
Financing constraints
Green innovation efficiency
Journal Article
Manufacturing corporations

Anmerkungen:

Date Completed 18.01.2024

Date Revised 18.01.2024

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1007/s11356-023-31153-9

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM365036811