Evidence map›Paper›PMID 35905128›Full record

ArticlePloS one2022

The spatial heterogeneity of the impact of PM2.5 on domestic tourism flows in China.

Nina Zhu, Ya Luo, Feng Luo, Xue Li, Gang Zeng

Abstract read
In one paragraph

Article in PloS one, 2022. 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

5 authors.

Nina ZhuThe Center for Modern Chinese City Studies & Institute of Urban Development, East China Normal University, Shanghai, China.ORCID 0000-0002-1939-341X
Ya LuoSchool of Foreign Language, Chengdu College of Arts and Sciences, Chengdu, Sichuan, China.
Feng LuoChina Institute, Fudan University, Shanghai, China.
Xue LiSchool of International Economics and Trade, Shanghai Lixin University of Accounting and Finance, Shanghai, China.ORCID 0000-0001-6004-8151
Gang ZengThe Center for Modern Chinese City Studies & Institute of Urban Development, East China Normal University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As haze pollution intensifies, its impact on tourism is becoming increasingly obvious. However, limited studies have analyzed the impacts of haze pollution on tourism. To explore the contribution rate and impact of PM2.5 pollution on tourism flows, panel data on 341 prefecture-level cities in China from 2001 to 2015 were used. The results illustrated that the changes in PM2.5 pollution and domestic tourism flows showed a similar partial-most anti-phase main spatial pattern in space, as well as other spatial patterns of PM2.5. From a regional perspective, the contribution rate of PM2.5 to domestic tourism flows was less than that of traditional factors, such as GDP, GDP_500, and 45A, but larger than that of the Airport factor. The contribution rate of the interaction between PM2.5 and 45A on domestic tourism flows was the largest. From a local perspective, PM2.5 pollution had a negative impact on domestic tourism flows in northern China, while it had a positive impact in other regions. The classic environmental Kuznets curve (EKC) hypothesis showed applicability to the Chinese tourism industry, and the is of great significance for comprehensively understanding the impact of PM2.5 pollution on tourism flows and for promoting the sustainable development of domestic tourism.

Indexed as

Air PollutantsAir PollutionChinaCitiesEnvironmental MonitoringParticulate MatterTourismAir PollutantsParticulate Matter

Identifiers

PMID35905128
PMCPMC9337672

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.