Evidence map›Paper›PMID 38032922›Full record

ArticlePloS one2023

Circular economy, environmental quality and tourism receipts in Europe: A time series data analysis.

Michael Odei Erdiaw-Kwasie, Kofi Kusi Owusu-Ansah, Matthew Abunyewah, Khorshed Alam, Abebe Hailemariam, Patrick Arhin, Kerstin K Zander, Jonatan Lassa

Abstract read
In one paragraph

Article in PloS one, 2023. 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

8 authors.

Michael Odei Erdiaw-KwasieBusiness and Accounting Discipline, Faculty of Arts and Society, Charles Darwin University, Darwin, Northern Territory, Australia.ORCID 0000-0003-1775-8013
Kofi Kusi Owusu-AnsahCollege of Arts and Sciences, University of Wyoming, Laramie, Wyoming, United States of America.ORCID 0000-0003-4810-3749
Matthew AbunyewahThe Australasian Centre for Resilience Implementation for Sustainable Communities, College of Health and Human Sciences, Charles Darwin University, Darwin, Northern TerritoryAustralia.ORCID 0000-0002-6649-6489
Khorshed AlamBusiness School, University of Southern Queensland, Queensland, Australia.
Abebe HailemariamBankwest Curtin Economics Centre, Curtin University, Bentley, Western Australia, Australia.
Patrick ArhinDepartment of Spatial Planning, Dortmund University, Dortmund, Germany.
Kerstin K ZanderNorthern Institute, Charles Darwin University, Darwin, Queensland, Australia.
Jonatan LassaNorthern Institute, Charles Darwin University, Darwin, Queensland, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study examines how progress towards a circular economy (CE), patents related to recycling and secondary raw materials as a proxy for innovation, affect tourism receipts. The study uses Autoregressive Distributed Lag (ARDL) and Error Correction Method (ECM) to analyse time series data from EU countries from 2000 to 2020. Our estimates show that there exist long-run and short-run equilibrium relationships. In sum, evidence shows that promoting circular innovative practices, including recycling and using secondary raw materials in tourist destinations, could improve environmental quality and positively impact tourism receipts. The study concludes with policy and practical suggestions for circular economy innovation towards green tourism, destination management, and sustainable tourism.

Indexed as

Economic DevelopmentTourismCarbon DioxideData AnalysisEuropeTime FactorsCarbon Dioxide

Identifiers

PMID38032922
PMCPMC10688725

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.