Evidence map›Paper›PMID 40119153›Full record

ArticleScientific reports2025

Spatial pattern characteristics and influencing factors of state-level sports industry bases in China.

Qiuying Li, Laibing Lu

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

2 authors.

Qiuying LiDepartment of Sports Rehabilitation, Hunan University of Medicine, Huaihua, China.
Laibing LuSchool of Physical Education and Sport Science, Fujian Normal University, Fuzhou, China. lblu666@163.com.ORCID http://orcid.org/0009-0000-6898-8244

Funding

National Social Science Fund of China 22ATY002
6 · The paper itself

Abstract

The spatial distribution of sports industry bases in China holds significant practical importance for the high-quality development of China's sports industry. This study employs spatial data analysis (ESDA), the spatial Gini coefficient, the imbalance index, the standard deviation ellipse, and a panel negative binomial regression model to examine the spatial patterns and influencing factors of the distribution of State-level Sports Industry Bases. The findings are as follows: (1) The 334 State-level Sports Industry Bases in China are located primarily east of the "Hu Line." The distribution pattern of these bases across the 31 provinces has undergone continuous changes from 2016 to 2021. (2) The overall distribution of State-level Sports Industry Bases in China's seven major geographic regions is uneven. Northeast China has the most balanced distribution, while East China has the highest concentration. The standard ellipse of the distribution from 2016 to 2021 reveals a trend of "discrete-centered-discrete-centered-centered." (3) Economic growth and government financial investment in each province and region are significantly positively correlated with an increase in the number of State-level Sports Industry Bases. In contrast, higher levels of regional innovation inhibit the growth of these bases.

Indexed as

IndustrySportsChinaEconomic DevelopmentHumansSpatial AnalysisPanel negative binomial modelSpatial patternSports industrySports industry bases

Identifiers

PMID40119153
PMCPMC11928597

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.