Evidence map›Paper›PMID 37822617›Full record

ArticleHeliyon2023

Research on driving factors and mechanism of Minority Village tourism development in Guizhou Province, China

Pindong Chen, Phakdeephirot Nutteera, Yaoyao Yan, Ching Tan Chai

Abstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

4 authors.

Pindong ChenRattanakosin International College of Creative Entrepreneurship, Rajamangala University of Technology Rattanakosin, Bangkok 10700, Thailand.
Phakdeephirot NutteeraRattanakosin International College of Creative Entrepreneurship, Rajamangala University of Technology Rattanakosin, Bangkok 10700, Thailand.
Yaoyao Yan.Guiyang Institute of Humanities and Technology, Guiyang 550001, China.
Ching Tan ChaiRattanakosin International College of Creative Entrepreneurship, Rajamangala University of Technology Rattanakosin, Bangkok 10700, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fundamental purpose of tourism destination development is to improve the quality of life of local residents. For the minority areas in Guizhou Province in China, tourism development can achieve good ecological, economic and social benefits. This research is aimed at to exploring the key driving factors which can improve the quality of local destinations. On the basis of literature analysis and to visit many villages, 8 variables are found, which are tourism resources, tourism location, tourism development environment, tourists' preference, tourism stakeholders, tourism products, tourism innovation and the development tourism destination. 19 hypotheses are proposed and a theoretical models is established. Through the sequential mixed method of qualitative phase and quantitative phase and model test with SEM, it is found: 1) all factors have significant positive effects on the development of rural tourism destinations. 2) The primary factors driving the development of rural tourism destinations are CTR, TL and tourism innovation. 3) Most factors interact with each other to drive the development of minority tourism destinations. Finally, according to the research results, combined with the current situation of the development of rural tourism destinations, the study puts forward suggestions and prospects to promote the development of rural minority tourism destinations.

Indexed as

Driving factorsMinority villagesRural tourismStructural relationship model (SEM)

Identifiers

PMID37822617
PMCPMC10562787

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.