Evidence map›Paper›PMID 39170425›Full record

ArticleHeliyon2024

Green finance as a driver for environmental and economic resilience post-COVID-19: A focus on China's strategy.

Jianjiang Shen, Jiaojiao Yu, Wali Muhammad Khoso

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jianjiang ShenUniversity of Northampton TMC Academy, Singapore, 389683, Singapore.
Jiaojiao YuSchool of Customs and Public Administration, Shanghai Customs College, Shanghai, 201204, China.
Wali Muhammad KhosoSchool of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the critical role of green finance in enhancing environmental and economic resilience during China's post-COVID-19 recovery. Employing sophisticated econometric techniques, including the Vector Error Correction Model (VECM) and Nonlinear Autoregressive Distributed Lag (NARDL) model, the effectiveness of green finance policies and instruments is rigorously assessed during the years 1986-2022. The findings reveal that green finance initiatives significantly fund sustainable projects and drive economic revitalization, marking substantial progress in China's eco-friendly recovery. Essential areas for improvement identified include robust policy support, technological innovation, and stronger international collaboration. Specifically, leveraging green finance effectively necessitates coordinated efforts across various sectors, ensuring it underpins China's sustainable development and resilience amid global economic challenges. The study recommends enhancing green finance mechanisms through comprehensive policy frameworks, fostering green technology innovation, and developing global partnerships to address environmental sustainability and economic recovery synergistically.

Indexed as

China strategyEconomic resilienceEnvironmental sustainabilityGreen financePost-COVID-19 recovery

Identifiers

PMID39170425
PMCPMC11336694

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.