Evidence map›Paper›PMID 39792909›Full record

ArticlePloS one2025

Sustainable regional development from the perspective of economic resilience: Based on the impact of COVID-19.

Aotian Peng

Abstract read
In one paragraph

Article in PloS one, 2025. 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

1 author.

Aotian PengSchool of Business, Anyang Normal University, Anyang, China.ORCID 0009-0009-9697-7193

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The process of regional economic development is marked by a sustained exposure to external disturbances. In today's unpredictable and tumultuous global environment, such disturbances have become increasingly common, underlining the need to advance a region's economic resilience and foster adaptive mechanisms to handle environmental flux. Comparing the typical provinces in eastern, central, western and northeastern regions during the COVID-19 epidemic period, it found that the economic resilience performance of Henan Province, which is a representative of the central region, has the following characteristics. Henan Province has the lowest total production resilience in the selected regions, but it is in the second position in terms of development potential resistance, while it is in the middle range in terms of resilience performance, and it has a weaker resistance performance in terms of the resilience indicator of the standard of living of the residents. Against this backdrop, this study undertakes an analysis and comparison of the economic resilience indicators of the 18 cities in Henan Province to suggest several refinements. It urges a promotion of the integrated development of the primary, secondary, and tertiary industries through increasing emphasis on the industrial sector, which will enable a transformation of the sectoral structuring. Further, digitization can help the upgrading of industries' intelligence and function as a lever to raise their competitiveness. Innovation in enterprises is also crucial in enhancing industrial competitiveness, by bolstering the technological innovation capabilities of enterprises and simultaneously boosting the wage-based incomes of residents, resulting in an overall improvement in their standard of living. Also, the study emphasizes the establishment of a digital talent platform to construct a sound regional talent ecology system.

Indexed as

COVID-19Economic DevelopmentChinaCitiesHumansSARS-CoV-2Sustainable Development

Identifiers

PMID39792909
PMCPMC11723641

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.