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Tourism centres efficiency as spatial unites for applying blue economy approach: A case study of the Southern Red Sea region, Egypt.
Kabil, Moaaz; AbdAlmoity, Ebtehal Ahmed; Csobán, Katalin; Dávid, Lóránt Dénes.
  • Kabil M; Doctoral School of Economic and Regional Sciences, Hungarian University of Agriculture and Life Sciences (MATE), Godollo, Hungary.
  • AbdAlmoity EA; Faculty of Urban and Regional Planning, Department of Regional Urban Development, Cairo University, Giza, Egypt.
  • Csobán K; Faculty of Urban and Regional Planning, Department of Regional Urban Development, Cairo University, Giza, Egypt.
  • Dávid LD; Faculty of Economics and Business, University of Debrecen, Debrecen, Hungary.
PLoS One ; 17(7): e0268047, 2022.
Article in English | MEDLINE | ID: covidwho-1962995
ABSTRACT
This study aims to assess and analyse the efficiency of the tourism centres in the Southern Red Sea region, Egypt to apply coastal tourism development through the blue economy perspective. According to this aim, the study used two efficiency

methods:

Data Envelopment Analysis (DEA) and Free Disposal Hull (FDH). A total of 29 tourism centres were selected to conduct the DEA and FDH methods. These efficiency methods (DEA-FDH) used inputs and outputs variables to estimate the efficiency of the tourism centres. The selected inputs were the length of the shoreline (km), area (ha), tourism investments (million EGP), quality of coral reefs, numbers of hotels, and tourism accommodation capacity. While the outputs were employees' number and tourists' number. The results indicate that, generally, the tourism centres in the Southern Red Sea region of Egypt showed high-efficiency scores, which reflects their good preparedness to implement the various coastal tourism development strategies from the blue economy perspective. The tourism centres in the Safaga-Quseir tourism sector were the most efficient ones, regardless of the efficiency models used. While the tourist centres representing the Ras Banas tourism sector were the least efficient centres in the whole sample (29 tourism centres).
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Coral Reefs / Tourism Type of study: Case report / Prognostic study Limits: Humans Country/Region as subject: Africa Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2022 Document Type: Article Affiliation country: Journal.pone.0268047

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Coral Reefs / Tourism Type of study: Case report / Prognostic study Limits: Humans Country/Region as subject: Africa Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2022 Document Type: Article Affiliation country: Journal.pone.0268047