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Impacts of tourism on coastal areas

Published online by Cambridge University Press:  14 November 2022

Timothy F. Smith*
Affiliation:
Sustainability Research Centre, School of Law and Society, University of the Sunshine Coast, Sippy Downs, QLD, Australia Environmental Sustainability Research Centre, Brock University, St. Catharines, ON, Canada SWEDESD, Department of Women’s and Children’s Health, Uppsala University, Uppsala, Sweden
Carmen E. Elrick-Barr
Affiliation:
Sustainability Research Centre, School of Law and Society, University of the Sunshine Coast, Sippy Downs, QLD, Australia
Dana C. Thomsen
Affiliation:
Sustainability Research Centre, School of Law and Society, University of the Sunshine Coast, Sippy Downs, QLD, Australia Environmental Sustainability Research Centre, Brock University, St. Catharines, ON, Canada SWEDESD, Department of Women’s and Children’s Health, Uppsala University, Uppsala, Sweden
Louis Celliers
Affiliation:
Climate Service Center Germany (GERICS), Helmholtz-Zentrum Hereon GmbH, Hamburg, Germany Faculty of Sustainability, Social-Ecological Systems Institute (SESI), Leuphana University, Lüneburg, Germany
Martin Le Tissier
Affiliation:
MaREI Centre for Marine and Renewable Energy, University College Cork, Cork, Ireland Coastal Matters Ltd, Newcastle upon Tyne, UK
*
Author for correspondence: Timothy F. Smith, Email: tsmith5@usc.edu.au
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Abstract

The socioeconomics of the Anthropocene is exposing coastal regions to multiple pressures, including climate change hazards, resource degradation, urban development and inequality. Tourism is often raised as either a panacea to, or exacerbator of, such threats to ecosystems and sustainable livelihoods. To better understand the impacts of tourism on coastal areas, Scopus and Web of Science databases were searched for the top 100 cited papers on coastal tourism. Web of Science suggested ‘highly cited’ papers were also included to allow for more recent high-impact papers. Of the papers retrieved, 44 focused on the impacts of tourism. Social/cultural and environmental impacts were viewed as mostly negative, while economic impacts were viewed as mostly positive but only of actual benefit to a few. In addition, when compared with recent whole-of-sector reviews and reports it was evident that coastal tourism is increasingly a global enterprise dominated by large corporations that leverage various interests across local to transnational scales. Through this global enterprise, even the positive economic benefits identified were overshadowed by a broader system of land and property development fuelling local wealth inequity and furthering the interests of offshore beneficiaries. Only two highly cited papers discussed tourism within a broader context of integrated coastal zone management, suggesting that tourism is mostly assessed as a discrete sector within the coastal zone and peripheral to other coastal management considerations or the global tourism sector as a whole. The findings have relevance to the holistic management of coasts, coastal tourism and the achievement of sustainable development goals in a way that considers the increasing threats from coastal hazards, resource extraction and urbanisation, as well as the pervasive impacts of international business systems from local to global scales.

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Review
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press
Figure 0

Table 1. Inclusion and exclusion criteria for highly cited paper selection

Figure 1

Table 2. Categorisation of the 72 highly cited papers addressing coastal tourism

Figure 2

Table 3. Sentiment analysis of the 44 highly cited papers that focused on the impacts of tourism on coastal regions

Supplementary material: File

Smith et al. supplementary material

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Author comment: Artificial intelligence for early detection of renal cancer in computed tomography: A review — R0/PR1

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No accompanying comment.

Review: Artificial intelligence for early detection of renal cancer in computed tomography: A review — R0/PR2

Conflict of interest statement

Reviewer declares none.

Comments

Comments to Author: This paper is well-written and generally well-referenced.

The methodology for this literature review is reasonably outlined but the strength of the paper relies on a representative sample of articles. The criteria for inclusion/exclusion of articles and the choice of key words used in a Scopus search is critical and can easily miss relevant papers.

For example, a casual web search using the manuscript title “Impacts of tourism on coastal areas” comes up with an almost identical title of a journal paper by Gormsen (1997, with 113 Scopus citations) “The Impact of tourism on coastal areas”. This paper is directly related to the analysis but appears to have been overlooked. It is not referenced in the main text and neither does it appear as one of the selected papers?

This raises the question of the representative nature of the sample of 44 papers and how this affects the conclusions drawn. One of the conclusions is that there is a “deficiency of papers that considered ICZM or other integrated management solutions”. This could be because the selection criteria only identified 3 out of the 44 papers from a coastal management journal. They are all in the journal “Ocean and Coastal Management”.

A nuanced Scopus search picks up other papers in the same journal that specifically discuss tourism development and coastal impacts on coastal areas in the context of integrated coastal (zone) management (Wong, 1998; Wongthong and Harvey, 2014). These papers with Scopus cites of 104 and 47 respectively have higher cites than papers 43 and 44 in Appendix 1. The second of these papers is directly related to the Appendix 1 selected paper #30 of Davis and Tisdell (1995).

This throws doubt on the assertion in the abstract based on only 2 papers out of 44 “that tourism is mostly assessed as a discrete sector within the coastal zone and peripheral to other coastal management considerations or the global tourism sector as a whole”.

It would be time-consuming to conduct a new literature search but the paper should at least include a discussion on the limitations of the sample selection methodology as demonstrated by the above example.

In addition, the methodology should be more specific about how it approached the sentiment analysis. There are many tools for such analysis but the paper gives no references to support this as a methodological approach.

REFERENCES

Gormsen, E., 1997, The Impact of tourism on coastal areas, GeoJournal, 42, 39-54

Wong, P. P., 1998, Coastal tourism development in Southeast Asia: Relevance and lessons for coastal zone Management, Ocean and Coastal Management 38, 89-109

Wongthong P. and Harvey, N., 2014, Integrated Coastal Management and Sustainable Tourism: A Case Study of the reef-based SCUBA dive industry from Thailand Sustainability of reef-based tourism; A case study of the reef-diving industry on Koh Tao, Thailand, Ocean & Coastal Management 95,138-146

Review: Artificial intelligence for early detection of renal cancer in computed tomography: A review — R0/PR3

Conflict of interest statement

Reviewer declares none.

Comments

Comments to Author: This focused and concise article does exactly what it set out to do. It identifies the main themes and gaps found in the literature - more specifically in highly cited journal articles.As such it would be helpful for anyone aiming to research the impacts of coastal tourism - an important subject which deserves more attention. I believe that there would also be value in looking at books, book chapters and other articles but this would be outside of the scope/aims of the article - which are very clearly stated. I recommend 'accept'.

Recommendation: Artificial intelligence for early detection of renal cancer in computed tomography: A review — R0/PR4

Comments

Comments to Author: Reviewer 1 has provided useful comments on the challenges of bibliometric based reviews and the need to outline methods/search criteria (possible alternates) and limitations as clearly as possible. Please outline how you have addressed these comments in your response to reviewers and the revised manuscript.

Decision: Artificial intelligence for early detection of renal cancer in computed tomography: A review — R0/PR5

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Author comment: Artificial intelligence for early detection of renal cancer in computed tomography: A review — R1/PR6

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Review: Artificial intelligence for early detection of renal cancer in computed tomography: A review — R1/PR7

Conflict of interest statement

Reviewer declares none.

Comments

Comments to Author: I previously accepted this paper and thought it ready to publish - of course the same still applies. I noted some minor changes and am happy with the work presented. It's a useful addition to coastal studies.

Recommendation: Artificial intelligence for early detection of renal cancer in computed tomography: A review — R1/PR8

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Decision: Artificial intelligence for early detection of renal cancer in computed tomography: A review — R1/PR9

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