Evidence map›Paper›PMID 40880361›Full record

ArticlePloS one2025

Optimal subsidy design for sports tourism under demand uncertainty: A multi-agent strategic interaction framework.

Yuanyuan Yin

Abstract read
In one paragraph

Article in PloS one, 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

1 author.

Yuanyuan YinUniversity of South China, Hengyang, Hunan, China.ORCID 0009-0000-0687-3775

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study develops a dynamic game model to analyze subsidy mechanisms for sports tourism integrated destination (STID), examining interactions between a core operator (major projects) and multiple supporting operators (ancillary services). It compares three scenarios: no subsidy, investment-based subsidies (core operator only), and visitor-driven subsidies (tied to tourist numbers). Results show investment-based subsidies increase core operator spending but not supporting operators' investments, while boosting tourist numbers and supporting operators' profits. Visitor-driven subsidies benefit all operators, increasing investments, profits and tourist volumes. When subsidy budgets are equal, visitor-driven subsidies yield better outcomes across all metrics if demand fluctuations remain stable. Demand shocks amplify both subsidy types' effectiveness. Findings suggest visitor-driven subsidies better coordinate tourism ecosystems, with demand volatility enhancing subsidy impacts, while core and supporting operators require differentiated policy approaches due to asymmetric responses.

Indexed as

SportsTourismHumansInvestmentsUncertainty

Identifiers

PMID40880361
PMCPMC12396729

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.