Evidence map›Paper›PMID 38683791›Full record

ArticlePloS one2024

Eco-friendly hotels and guesthouses as a new opportunity for resilience and sustainability: Evidence from the Czech Republic.

Pavla Vrabcová, Petr Scholz, Ivica Linderová, Hana Kotoučková

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

4 authors.

Pavla VrabcováFaculty of Economics, Department of Economics Statistics, Technical University of Liberec, Liberec, Czech Republic.ORCID 0000-0002-4384-1622
Petr ScholzDepartment of Travel and Tourism, College of Polytechnics Jihlava, Jihlava, Czech Republic.ORCID 0000-0002-2637-7119
Ivica LinderováDepartment of Travel and Tourism, College of Polytechnics Jihlava, Jihlava, Czech Republic.
Hana KotoučkováDepartment of Mathematics, College of Polytechnics Jihlava, Jihlava, Czech Republic.ORCID 0000-0001-9673-9130

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The economic recovery of the tourism industry after the Covid-19 pandemic to find modern and efficient trends to increase profitability is accompanied by the adoption of comprehensive accommodation approaches towards resilience and environmental sustainability. The research aims at the application of environmental management elements and measures in all types of accommodation facilities in the Czech Republic (n1 = 1,016). A qualitative focus group method complemented the quantitative research using correspondence analysis, Levene's, Kruskal-Wallis, and Tukey's HSD tests (n2 = 9 + moderator). The results indicate that the differences in the number of environmental measures implemented were minimal for the monitored hotels and guesthouses. On the other hand, the star rating of accommodation facilities is not a key parameter in the environmental impact assessment. The most used environmental measures were devices reducing electricity consumption (hotels 94%, guesthouses 94%), separating waste (hotels 88%, guesthouses 89%), and water consumption reduction (hotels 85%, guesthouses 86%). At the same time, the most minor used were measures reducing chemical consumption (hotels 23%, guesthouses 22%) communication and environmental education of employees and guests (hotels 32%, guesthouses 18%).

Indexed as

COVID-19Conservation of Natural ResourcesCzech RepublicHumansPandemicsSARS-CoV-2Tourism

Identifiers

PMID38683791
PMCPMC11057784

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.