ArticlePloS one2025
Evaluating sports complex sustainable supply chains: A prospective assessment technique method of moments quantile regression research.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.
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
1 citing paper in PubMed.
- Article
Corrections and comments
- Retraction · 2025-08-25Concerns/Issues about Article · Concerns/Issues about Authorship/Affiliation · Concerns/Issues about Peer Review · Investigation by Journal/Publisher ·
- Retracted
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The growing emphasis on sustainability in supply chain management has raised critical concerns about its implementation in complex ecosystems such as sports stadiums. This study investigates the economic and environmental dimensions of sustainable supply chains within sports complexes, employing the Method of Moments Quantile Regression (MMQR) technique to provide a nuanced analysis of key variables influencing sustainability outcomes from 2008 to 2022. By integrating Corporate Environmentalism (CE), Population Density (PD), Economic Complexity Ratio, and Workforce Readiness Ratio with Gross Domestic Product (GDP) differentiation metrics, the research identifies significant conditional and non-linear relationships. Results reveal that CE plays a pivotal role in driving GDP differentiation, particularly in lower quantiles, highlighting the potential of sustainability to contribute to balanced economic growth. Population Density consistently influences sustainability outcomes, underscoring the critical role of demographic factors. Additionally, the study exhibit strong macroeconomic and social implications, emphasizing the importance of inclusive strategies for sustainable development. Notably, higher GDP differentiation quantiles reveal trade-offs between economic and environmental goals, presenting challenges for achieving equilibrium. These findings suggest that policymakers and stakeholders should adopt tailored strategies to balance economic and environmental objectives, fostering sustainable practices in sports stadium ecosystems while mitigating disparities across different economic conditions.
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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.