2022
DOI: 10.3389/fenvs.2022.981013
|View full text |Cite
|
Sign up to set email alerts
|

Does green finance promote enterprises’ green technology innovation in China?

Abstract: In the carbon neutrality strategy, understanding the effects of green finance on green technology innovation is conductive to promoting the green transformation of the economy. Based on the micro-level and provincial panel data of Shanghai and Shenzhen A-share listed companies from 2012 to 2019, this study explored the impact of green financial development on the enterprises’ green technology innovation. Both mediating effect and moderating effect models were employed to determine the impact of green finance o… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
29
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 49 publications
(29 citation statements)
references
References 78 publications
0
29
0
Order By: Relevance
“…Many scholars have confirmed that finance promotes technology (Jiang et al, 2022), finance promotes green development Yin, 2022), and technology promotes green development (Liang et al, 2022). However, few scholars regard financial, technological and environmental factors as a duplicate effect to study their promotion to UID.…”
Section: Theoretical Implicationmentioning
confidence: 99%
“…Many scholars have confirmed that finance promotes technology (Jiang et al, 2022), finance promotes green development Yin, 2022), and technology promotes green development (Liang et al, 2022). However, few scholars regard financial, technological and environmental factors as a duplicate effect to study their promotion to UID.…”
Section: Theoretical Implicationmentioning
confidence: 99%
“…(2022), this paper adopts a bidirectional fixed-effect model to study the impact of urban housing prices on corporate green innovation, in which the fixed effects of time and individual firms are controlled to avoid missing variable bias. This makes the regression results more robust (Jiang et al ., 2022). The econometric model constructed is as follows.Where i represents the individual enterprise, t represents the year, the explained variable GI represents the green innovation of the enterprise, the explanatory variable Lnprice is the average selling price of urban commercial housing, and the Control is the set of control variables, u i represents the individual fixed effect of the enterprise, ηt represents the fixed effect of the year, and εit represents the random error term.…”
Section: Data and Model Buildingmentioning
confidence: 99%
“…Control variables: Referring to the research of Amore and Bennedsen (2016) and Jiang et al . (2022), this paper controls the relevant variables that may have an impact on the green innovation of enterprises.…”
Section: Data and Model Buildingmentioning
confidence: 99%
“…We also use R&D intensity as a proxy variable to test the robustness. It is important to note that it takes some time from patent application to authorization, typically 2 years in China 1 (Jiang et al, 2022). Therefore, we lag the number of green patents granted to companies by 2 years.…”
Section: Green Technology Innovation Outputmentioning
confidence: 99%