ArticleScientific reports2025
Research on the spatial distribution characteristics and influencing factors of sports intangible cultural heritage in the Guangdong-Hong Kong-Macao Greater Bay Area.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Sports Intangible Cultural Heritage (SICH) serves as both a vital testament to the shared cultural roots of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) and a treasured resource for fostering a collaborative, culturally enriched Bay Area. Combining field surveys and GIS spatial analysis, and adopting the methods of the nearest neighbor index, geographic concentration index, imbalance index, kernel density estimation and geographical detectors, the study aims to analyze the characteristics of the spatial distribution of the 264 SICH projects in the GBA, and to explore the main factors affecting their distribution. The findings reveal that the spatial distribution of SICH in the GBA is highly concentrated, with obvious aggregation characteristics. The overall characteristics are "dense in the west, sparse in the east", forming the distribution pattern of "two cores, three belts". The "two cores" refers to the formation of a large-scale high-density agglomeration area with southwestern Guangzhou and northeastern Foshan as the core, and another small-scale high-density agglomeration area with southern Hong Kong as the core and expanding from south to north. The "three belts" refers to the formation of three areas of agglomeration density in central Guangzhou-northeastern Jiangmen, western Guangzhou-eastern Zhuhai and Dongguan-Hong Kong. The spatial distribution of the four different types of SICH varies considerably, with significant variations in density. The spatial distribution pattern of SICH in the GBA is mainly influenced by socioeconomic and history and culture, with population, social organization, urbanization level, economic development level, and policy support being the dominant factors, and the influence of physical geography being less strong. The role of influencing factors after interaction is generally strengthened, among which the interaction between urbanization level and social organization is the most obvious. The distribution pattern of SICH in the GBA is subject to the synergy effect of multiple factors. From the perspective of synergy theory, the internal mechanism of its spatial distribution is explained from the logic framework of "synergistic dynamic-synergistic structure-synergistic relationship". Finally, the study proposes suggestions for the synergistic development of SICH in the GBA in terms of promoting cross-regional cooperation, securing government support, enhancing resource allocation and digital dissemination.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.