Evidence map›Paper›PMID 39671463›Full record

ArticlePloS one2024

An empirical research based on spatial-temporal evolution of high-quality tourism development in Fujian Province of China.

Ying Ke, Min Yang, Yajun Xie

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. 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

3 authors.

Ying KeCollege of Business Administration, Fujian Jiangxia University, Fujian, China.
Min YangCollege of Business Administration, Fujian Jiangxia University, Fujian, China.ORCID 0009-0009-5851-4841
Yajun XieSchool of Big Data, Fuzhou University of International Studies and Trade, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The high-quality development of tourism is crucial to the sustainable development of regional economy. To evaluate high-quality tourism development, this paper has developed an index system with 6 second-level indicators and 24 third-level indicators and used methods of entropy-weight, AHP, and TOPSIS to empirically assess the high-quality tourism development of 9 cities in Fujian Province. According to the results, there are obvious regional differences in the development of high-quality tourism in Fujian Province. From 2016 to 2019, the overall development trend of cities in Fujian Province was consistent, showing a steady upward trend. Green development in tourism has the best performance, which was less affected by the COVID-19. Fuzhou and Xiamen contribute most to the tourism development of Fujian Province, while other cities are lagging behind for various reasons and the lack of innovation and shared development are two of them. Based on the results of the research, we put forward the following suggestions: Fujian should coordinate the planning of the province's green eco-tourism resources to maximize the use of resources. It should combine the advantages of the primary, secondary and tertiary industries and fully develop both advanced regions and under-developed regions. It should also explore areas of potential growth in the tourism sector, such as Sanming, Longyan, and Nanpin, by strengthening digital innovation and sharing resources with Xiamen, Fuzhou, Quanzhou and other highly-developed tourism regions.

Indexed as

COVID-19Empirical ResearchTourismChinaCitiesEconomic DevelopmentHumansSARS-CoV-2Spatio-Temporal AnalysisSustainable Development

Identifiers

PMID39671463
PMCPMC11643251

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.