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544. Measuring efficiency in tourism: a problem of shared factors and multiple attributes in DEA

Invited abstract in session WA-48: DEA applications in Policy Making and Planning II, stream Data Envelopment Analysis and its Application.

Wednesday, 8:30-10:00
Room: 60 (building: 324)

Authors (first author is the speaker)

1. Sonia Avilés-Sacoto
School of Engineering and Sciences, Universidad San Francisco de Quito
2. Estefania Avilés-Sacoto
Environmental Engineering, Universidad Politécnica Salesiana
3. Wade Cook
Schulich School of Business, York University
4. David Güemes-Castorena
School of Engineering and Sciences, Tecnologico de Monterrey

Abstract

This paper examines the tourism industry in Mexico, focusing specifically on the performance of each of its 32 states. To facilitate the development of an appropriate performance measurement tool, we begin with the data envelopment analysis (DEA) methodology, an optimization tool used for evaluating the efficiencies of a set of decision-making units (DMUs). While it is usually assumed that each DMU functions independently of other units, having its own set of inputs and outputs, there are situations where the DMUs can be interdependent due to the presence of shared factors. Thus, a DMU can share an input or output with other DMUs, thereby generating sub-groups of DMUs. In such a setting, like the one considered herein, one must view a projection to the frontier as involving all sub-group members simultaneously. As well, in some cases the shared factor cannot be split up and assigned to each sub-group member separately. This situation can become even more complex in a two-stage setting where a DMU can share a factor with some other DMUs and the DMU groupings are different in one stage than in another. Finally, in the study herein we consider the presence of different attributes, i.e. different types of tourism.

Keywords

Status: accepted

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