Evidence map›Paper›PMID 38857294›Full record

ArticlePloS one2024

Does the selection of high-quality scenic spots promote the growth of tourism economy? evidence from China's 5A-rated tourist attractions.

Qingyong Xu, Xu Cheng, Hehua Zhao

Abstract 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. 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

3 authors.

Qingyong XuSchool of Tourism, Nanchang University, Nanchang, Jiangxi, China.
Xu ChengSchool of Tourism, Nanchang University, Nanchang, Jiangxi, China.
Hehua ZhaoSchool of Tourism, Nanchang University, Nanchang, Jiangxi, China.ORCID 0009-0008-6546-1445

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To stimulate the regional tourism economy, local governments often seek to increase the number of 5A-rated tourist attractions. However, there have been few analyses examining the economic benefits and influence mechanisms of 5A-rated attraction selection. Using the quality signaling theory and data from 282 prefecture-level cities spanning 2002 to 2019, this study examines the impact of 5A-rated attraction selection on the local tourism economy with the difference-in-differences method. This study's results demonstrate that the selection of 5A-rated attractions significantly contributes to the growth of the local tourism economy. The robustness test results confirm the validity of this conclusion. A mechanism analysis reveals that 5A-rated attractions positively impact the tourism economy via investments in infrastructure, popularization of informatization, and increased external openness. Furthermore, the study suggests that the effect of 5A-rated attractions is more pronounced in economically underdeveloped regions and low-level cities. The results of this study contribute to the sustainable development of China's tourism economy and may provide guidance for the establishment of tourism evaluation systems in other international locations in order to foster economic growth.

Indexed as

TourismChinaCitiesEconomic DevelopmentHumansSustainable DevelopmentTravel

Identifiers

PMID38857294
PMCPMC11164364

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.