Doctoral School of Economic and Regional Sciences, Hungarian University of Agriculture and Life Sciences (MATE), Godollo, Hungary.
Faculty of Urban and Regional Planning, Department of Regional Urban Development, Cairo University, Giza, Egypt.
PLoS One. 2022 Jul 27;17(7):e0268047. doi: 10.1371/journal.pone.0268047. eCollection 2022.
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).
本研究旨在评估和分析埃及红海南部地区旅游中心的效率，以应用蓝色经济视角进行沿海旅游开发。根据这一目标，本研究使用了两种效率方法：数据包络分析（DEA）和自由处置壳（FDH）。选择了 29 个旅游中心来进行 DEA 和 FDH 方法。这些效率方法（DEA-FDH）使用投入和产出变量来估算旅游中心的效率。所选投入包括海岸线长度（公里）、面积（公顷）、旅游投资（百万埃及镑）、珊瑚礁质量、酒店数量和旅游住宿能力。而产出则是员工人数和游客人数。结果表明，埃及红海南部地区的旅游中心总体上表现出较高的效率得分，这反映了它们从蓝色经济视角实施各种沿海旅游发展战略的良好准备。无论使用哪种效率模型，萨法加-克塞伊旅游部门的旅游中心都是效率最高的，而拉斯巴纳斯旅游部门的旅游中心则是整个样本中效率最低的（29 个旅游中心）。
