Evidence map›Paper›PMID 38277419›Full record

ArticlePloS one2024

In quest of China sports lottery development path to common prosperity in 2035.

Yaping Yao, Bin Wan, Bo Long, Te Bu, Yang Zhang

Expression of concernAbstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It carries an expression of concern. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Yaping YaoCollege of Physical Education, Hunan Normal University, Changsha, P.R. China.
Bin WanCollege of Physical Education, Hunan Normal University, Changsha, P.R. China.
Bo LongCollege of Physical Education, Hunan Normal University, Changsha, P.R. China.ORCID 0009-0009-7141-0887
Te BuCollege of Physical Education, Hunan Normal University, Changsha, P.R. China.
Yang ZhangIndependent Person, Windermere, FL, United States of America.ORCID 0000-0001-9290-5891

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe China sports lottery contributes to sports and welfare causes. This study aims to construct a macro forecasting model supporting its sustained growth aligned with Vision 2035.

methodsThe modeling employed a distributional regression. Sales data of the China sports lottery from 2011 to 2022 were chosen as the response variable, alongside various macro- and event-level explanatory factors.

resultsA gamma distribution best fit the data. In the stable model spanning 2011-2019, urbanization, population dynamics, and FIFA emerged as significant contributors (Chi-square p < 0.05) to the location shift parameter. These three factors retained their significance in the 2011-2022 shock model, where shock itself notably impacted sales (p < 0.001). Utilizing the shock model, we simulated the trajectory of the China sports lottery up to 2035. China's demographics changes are poised to create structural headwinds starting in 2026, leading to an anticipated decline in sales driven by population shifts from 2032 onward. However, the FIFA effect is projected to continue fortifying this sector.

conclusionsBeyond offering original insights into the sales trajectory until 2035, specifically concerning new urbanization, negative population growth, and the FIFA effect, this macro forecasting framework can assist in addressing the policy priority of balancing growth with risk mitigation. We recommend policymakers connect market development with mass sports, potentially garnering a dual boost from the growing population of older consumers and the inherent benefits of a "FIFA (mass sports)" effect. A people-centered approach to the China sports lottery could significantly contribute to the long-range objectives of achieving common prosperity outlined in Vision 2035.

Indexed as

SportsUrbanizationChinaHumansPopulation DynamicsPopulation Growth

Identifiers

PMID38277419
PMCPMC10817225

What OpenQuestion holds

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LicenceCC BY
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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.