Evidence map›Paper›PMID 38510012›Full record

ReviewHeliyon2024

The nonlinear impact of financial flexibility on corporate sustainability: Empirical evidence from the Chinese manufacturing industry.

Xiaojuan Sheng, Yuxiang An

Abstract readReview
In one paragraph

Review 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

2 authors.

Xiaojuan ShengSchool of Management, Beijing Union University, China.
Yuxiang AnSchool of Management, Beijing Union University, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the face of challenges ushered in by globalization and technological advancements, financial flexibility has emerged as a pivotal strategy for attaining sustainable development in China's manufacturing sector. Financial flexibility allows firms to manage internal cash flows, alleviate external financing constraints, and augment their capability to absorb risks. Using the framework of Financial Flexibility Theory and Institutional Theory, this study examines data from A-share listed manufacturing firms on the Shanghai and Shenzhen Stock Exchanges from 2011 to 2021. The research aims to investigate the nexus between financial flexibility and sustainable performance, while also probing the moderating roles of environmental uncertainty and governmental grants. The key findings of the study unveil an inverted U-shaped relationship between financial flexibility and sustainable performance. Moreover, environmental uncertainty exerts a significant negative influence on sustainable performance. When both environmental uncertainty and governmental grants are substantial, the inverted U-shaped correlation between financial flexibility and sustainable performance intensifies. The innovation of this study lies in revealing the optimal zone of financial flexibility for enterprises under the influence of environmental uncertainty and government grants. Amidst an increasingly intricate macro-environment, this research furnishes pragmatic insights for optimizing sustainable performance in manufacturing enterprises and offers a series of empirically grounded suggestions for enterprise managers, government departments, and investors, guiding them to enhance sustainable performance through judicious calibration of financial flexibility levels.

Indexed as

Environmental uncertaintyFinancial flexibilityGovernment grantsInstitutional theorySustainability performance

Identifiers

PMID38510012
PMCPMC10950669

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.