Evidence map›Paper›PMID 39403525›Full record

ArticleHeliyon2024

Towards the sustainable financial management in green economic growth through big data technology innovation; Case study in China.

Zhu Lina

RetractedAbstract readRetracted Publication
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. It has been retracted, and should not be counted. 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

5 · Who and what money

Authors and funding

1 author.

Zhu LinaEconomics & Management College of Zhao Qing University, Zhao Qing, 526061, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study addresses the critical challenge of integrating sustainable financial management within the framework of green economic growth in China from 1990 to 2022, underscored by rapid industrialization and environmental concerns. The primary aim is to analyze how big data technology innovations have facilitated sustainable financial practices that align with green economic objectives. The objectives include assessing the impact of these technologies on environmental sustainability, financial inclusion, and economic resilience. Using China as a case study, the research employs a longitudinal analysis to trace the evolution and integration of sustainable financial management and green economic growth, underpinned by technological advancements. Results indicate that big data technology has significantly enhanced the capacity for real-time analysis, risk assessment, and decision-making in financial institutions, leading to improved environmental and economic outcomes. Policy implications suggest that the government should foster an innovation-friendly environment that encourages the development and adoption of big data technologies, to further integrate sustainable financial management within the green growth agenda.

Indexed as

Big data technologyChinaEnvironmental sustainabilityGreen economic growthSustainable financial management

Identifiers

PMID39403525
PMCPMC11471464

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.