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Home / Tourism Analysis, Volume 12, Numbers 1-2

Analyzing the Total Productivity Change in Travel Agencies

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This article estimates changes in total productivity in travel agencies in two stages. In the first stage, it breaks down total productivity into technically efficient change and technological change by means of data envelopment analysis (DEA) applied to a representative sample of travel agencies operating in the Portuguese market. The aim of this procedure is to seek out those best practices that will lead to improved performance in the market. We rank the companies according to their change in total productivity for the period 2000–2004, concluding that some companies experienced productivity growth while others experienced a decrease in productivity. In the second stage, the inefficient scores are regressed into contextual variables of inefficiency with a bootstrapped Tobit model. The implications arising from the study are considered in terms of managerial policy.

Keywords: BOOTSTRAPPING; MALMQUIST DEA MODEL; PORTUGAL; PRODUCTIVITY; TOBIT MODEL; TRAVEL AGENCIES

Document Type: Research Article

Publication date: 01 April 2007

More about this publication?
  • Established in 1996, Tourism Analysis is an interdisciplinary journal that provides a platform for exchanging ideas and research in tourism and related fields. The journal aims to publish articles that explore a broad range of research subjects, including, but not limited to, the social, economic, cultural, environmental, and psychological aspects of tourism, consumer behavior in tourism, sustainable and responsible tourism, and effective operations, marketing, and management.

    Tourism Analysis focuses on both theoretical and applied research and strives to promote innovative approaches to understanding the complex and dynamic nature of tourism, its stakeholders, businesses, and its effects on society. The journal welcomes articles on innovative research topics and methodologies beyond the traditional theory-testing sciences, such as robotics, computational sciences, and data analytics.

    Our primary goal is to contribute to the development and advancement of new knowledge in tourism while fostering critical reflections and debates on the radical changes and evolution in tourism among scholars, practitioners, policymakers, and other stakeholders.

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