2023
DOI: 10.1016/j.jclepro.2023.136219
|View full text |Cite
|
Sign up to set email alerts
|

The impact and transmission mechanisms of financial agglomeration on eco-efficiency: Evidence from the organization for economic co-operation and development economies

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
8
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
9
1

Relationship

0
10

Authors

Journals

citations
Cited by 24 publications
(9 citation statements)
references
References 65 publications
1
8
0
Order By: Relevance
“…In model (2), the regression coefficient of financial development level is significantly negative at the 1% level, indicating that increasing the level of financial development does not significantly enhance the green economic efficiency in western China. This is consistent with the findings of Cui and Wang (2023) [ 66 ]. As China’s credit funds are more favorable to large nationalized enterprises, it is easier for ecological construction projects, green public services and green municipal facilities construction projects to receive financial support from financial institutions, which in turn enhances green ecological efficiency and green social efficiency.…”
Section: Discussionsupporting
confidence: 94%
“…In model (2), the regression coefficient of financial development level is significantly negative at the 1% level, indicating that increasing the level of financial development does not significantly enhance the green economic efficiency in western China. This is consistent with the findings of Cui and Wang (2023) [ 66 ]. As China’s credit funds are more favorable to large nationalized enterprises, it is easier for ecological construction projects, green public services and green municipal facilities construction projects to receive financial support from financial institutions, which in turn enhances green ecological efficiency and green social efficiency.…”
Section: Discussionsupporting
confidence: 94%
“…If the unexpected output is ignored, then the results of the econometric analysis will not truly and effectively reflect the actual development of the region [11]. In this study, we selected the SBM (slack-based measure) unexpected-output (non-radial) model to estimate the tourism superefficiencies of 21 cities in Guangdong Province to achieve greater output with minimal tourism investment [12]. The mathematical expression is as follows:…”
Section: Sbm-dea Modelmentioning
confidence: 99%
“…Second, there will be a discussion of factors in uencing EE. It mainly includes industrial structure (Han et al, 2021), urbanization (Yao et al, 2021), natural resources (Wang et al, 2022), environmental regulation (Qin et al, 2021) and nancial agglomeration (Cui and Wang, 2023). Third, the temporal and spatial difference analysis of EE.…”
Section: Introductionmentioning
confidence: 99%