MEASURING TECHNICAL EFFICIENCY AMONG DEPARTMENT OF TOURISM (DOT) ACCREDITED RESORTS IN DAVAO REGION: APPLICATION OF DATA ENVELOPMENT ANALYSIS (DEA)

Clarence Joy D. Alcaraz, Lilibeth C. Aragon
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Abstract

One of the most important players in the hospitality and tourism industries is the resort industry. Data envelopment analysis (DEA) allows measuring the variation in efficiency between resorts businesses and in a particular time period. Furthermore, this technique allows the identification of the possible sources of inefficiency. The study developed a methodology utilizing the capabilities of Data Envelopment Analysis that provides a reasonably accurate means of evaluating the technical efficiency of DOT-accredited resorts in the Davao Region. Results of the study reveal that 18 out of 23 DMUs classified as fully efficient comprising 82.61% while the other 5 DMUs are under-efficient constituting 17.39% in total. Moreover, demographic characteristic significantly contributes to the efficient performance of DOT-accredited resorts in the Davao Region. These demographic characteristics, such as provincial category, type of resorts, and accessibility, provide policymakers, industry stakeholders, and tourism associations with information regarding the state of the tourism industry in various provinces, the type of resorts, and the means of reaching the resorts (accessibility). These results enable more focused assistance and coordinated efforts to improve the region's competitiveness and sustainability.  Article visualizations:
衡量达沃地区旅游局(DOT)认证度假村的技术效率:数据包络分析(DEA)的应用
度假村是酒店和旅游业中最重要的参与者之一。数据包络分析法(DEA)可以测量度假村企业之间和特定时期的效率差异。此外,该技术还能识别可能的低效率来源。本研究利用数据包络分析的功能开发了一种方法,为评估达沃地区经交通部认可的度假村的技术效率提供了一种相当准确的手段。研究结果表明,在 23 个 DMU 中,有 18 个被归类为完全有效,占 82.61%,而其他 5 个 DMU 效率低下,共占 17.39%。此外,人口统计特征对达沃地区经交通部认证的度假村的效率表现也有很大影响。这些人口统计特征,如省份类别、度假村类型和可达性,为政策制定者、行业利益相关者和旅游协会提供了有关各省旅游业状况、度假村类型和到达度假村方式(可达性)的信息。这些结果有助于提供更有针对性的援助和协调努力,以提高该地区的竞争力和可持续性。 文章可视化:
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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