Evidence map›Paper›PMID 39315153›Full record

ArticleHeliyon2024

Spatial-temporal coupling coordination relationship between well-being and technological innovation: Panel evidence from China.

Lingmei Han, Yulong Fu, Hongtao Shen

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Lingmei HanSchool of Business, Henan University of Science and Technology, Luoyang, 471000, China.
Yulong FuSchool of Business, Henan University of Science and Technology, Luoyang, 471000, China.
Hongtao ShenTechnology Center, China Tobacco Henan Industrial Co., Ltd., Zhengzhou, 450000, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since the dawn of the industrial era, the relationship between human well-being and technological in-novation has become increasingly close. This study explores this intricate relationship to understand how technological advancements can be harnessed to promote sustained and improved well-being for all. Focusing on China as a case study, this study considers both human well-being and technological innovation as key research objects. An evaluation index system for well-being is established by leveraging the spatial Durbin model and existing literature. This study empirically calculates well-being levels and conducts a classification analysis of the coupling and coordination between well-being and technological innovation across 31 provinces and cities. Additionally, the factors driving the coupling and coordination relationships are further clarified. The results reveal that (1) the coordination between well-being and technological innovation varies significantly between provinces but, overall, is gradually increasing; (2) a significant positive correlation exists between well-being and the coupling and coordination of scientific and technological innovation, and the spatial aggregation of the coupling and coordination development is gradually strengthening; and (3) several key factors influence this relationship. Rationalisation of the industrial structure, inclusive digital finance, talent concentration, and consumption rate all yield positive and significant impacts. Conversely, government intervention appears to negatively influence the coordination between these two crucial aspects. Based on this study's results, a series of policy recommendations are proposed to coordinate the development of well-being and technological innovation.

Indexed as

Coupled coordination relationshipDriversHuman well-beingTechnological innovation

Identifiers

PMID39315153
PMCPMC11417187

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.