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Tourism performance evaluation and analysis from composite index and slack based method

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Abstract

This work aims to propose a method for synthetically evaluating and analyzing the tourism performance in Morocco with regard to a benchmark and in line with the data to be processed. To achieve the above objective, the Adjusted Slack-Based Data Envelopment Analysis Method is used to elaborate a composite index for synthetically evaluating the tourism performance and to analyze this performance. The findings show that composite indexes from 2015 to 2019 in Morocco are mediocre or average compared to the Organisation for Economic Co-operation and Development (OECD) mean in terms of tourism performance. Furthermore, the analysis of the results reveals that the performance gap between Morocco and the mean of the OECD countries comes mainly from tourist receipts and the number of overnight stays. The originality of this work resides in the method elaborated for assessing and analyzing adequately the tourism performance, which is necessary for an appropriate tourism change. It also lies in using optimal weightings of the elementary indicators to elaborate an appropriate composite index, which is not widely employed in the area of assessing tourism performance.

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  1. Higher School of Technology, Mohammed First University, Complexe Universitaire, Hay Al Qods, BP 473, Oujda, Morocco

    Driss El Kadiri Boutchich

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EBD [5] analyzed unobserved components model, estimate weighted mean, efficiency methods and proposed dicriminant analysis for building a synthetic indicator via Bayesian formula. EBD [15] proposed an integrated hybridization approach, which requires a permanent exchange between theory and practice through cognitive interactivity. EBD [49] argued exploratory analysis does not require the formulation of hypotheses. EBD [62] proposed Adjusted Data Envelopment Analysis, which processes only the outputs.

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El Kadiri Boutchich, D. Tourism performance evaluation and analysis from composite index and slack based method. OPSEARCH (2023). https://doi.org/10.1007/s12597-023-00703-7

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