Evidence map›Paper›PMID 40697363›Full record

ArticleData in brief2025

China Hebei province energy enterprises dataset.

M A Dongliang, Yang Hui

Abstract read
In one paragraph

Article in Data in brief, 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

2 authors.

M A DongliangSchool of Information and Artificial Intelligence, Hebei Finance University, Baoding 071051, China.
Yang HuiBaoding Institute of Technology, School of Accounting, Baoding 071002, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article presents a distributional summary dataset of energy enterprise firms. Nearly 9180 energy business firms distributed within various regional boundaries in Hebei Province of China are described. It includes information on energy companies established from January 1, 1958 to August 8, 2019. Specifically, it includes six types of characteristic variables such as the county region where they are located, industry classification, registered capital, enterprise type, enterprise status, and establishment time. Since this is a real dataset of business registrations, all data elements related to the real company name and legal representative of the business are removed. Due to the scarcity of real business data for scientific and educational purposes, these datasets play an important role in research and education in new energy economic analysis, spatial geographic characterization, machine learning or data mining.

Indexed as

Enterprise datasetHebei of ChinaNew energyRegional economySpatial characteristics

Identifiers

PMID40697363
PMCPMC12281031

What OpenQuestion holds

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LicenceCC BY-NC
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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.