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The estimation and decomposition of tourism productivity

Research output: Contribution to journalJournal article

E-pub ahead of print
<mark>Journal publication date</mark>04/2018
<mark>Journal</mark>Tourism Management
Number of pages12
Pages (from-to)131-142
<mark>State</mark>E-pub ahead of print
Early online date7/10/17
<mark>Original language</mark>English


This paper estimates a total factor productivity index that allows for a rich decomposition of productivity in the tourism industry. We account for two important characteristics: First, the heterogeneity between multiple tourism destinations, and second, the potential endogeneity in inputs. Importantly we develop our index at the macro level, focusing on cross-country comparisons. Using the Bayesian approach, we test the performance of the model across various priors. We rank tourism destinations based on their tourism productivity and discuss the main sources of productivity growth. We also provide long-run productivity measures and discuss the importance of distinguishing between short-run and long-run productivity measures for future performance improvement strategies.

Bibliographic note

This is the author’s version of a work that was accepted for publication in Tourism Management. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Tourism Management, 65, 2017 DOI: 10.1016/j.tourman.2017.09.004