Evidence map›Paper›PMID 39759303›Full record

ArticleHeliyon2024

Can the opening of public data improve the quality of urban employment?-- evidence from China.

M A Yong-Jun, RuiXuan Huang

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

2 authors.

M A Yong-JunHunan University of Technology, Zhuzhou, 412007, China.
RuiXuan HuangHunan University of Technology, Zhuzhou, 412007, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the era of digital economy, the opening of public data holds significant importance as a pivotal means to maximize the utilization of data elements and enhance the quality of urban employment. Leveraging urban-level data spanning from 2011 to 2021 in China, this study employs a Multi-period DID method to systematically investigate the mechanisms underlying the impact of public data openness on urban employment quality.The empirical findings reveal that the openness of public data markedly elevates the quality of urban employment. Notably, these results persist even after rigorous robustness and endogeneity tests, ensuring the reliability and validity of our conclusions.A deeper analysis further unveils that the opening of public data enhances urban employment quality through various mechanisms, including increased urban innovation investment, advancements in digital finance, and the upgrading of industrial structures. Additionally, heterogeneity tests demonstrate that the impact of public data openness policies is particularly pronounced in coastal regions and larger cities, highlighting the differential effects across geographical and urban scales.The insights gained from this study offer crucial policy implications for accelerating the opening of public data and enhancing the quality of urban employment, ultimately contributing to the high-quality economic development of our cities and nations.

Indexed as

Employment qualityLocal digital financeOpen public dataUpgrading of industrial structureUrban innovation investment

Identifiers

PMID39759303
PMCPMC11697569

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.