How to achieve a high efficiency level of the hotel industry?

Hao Luo, Yang Yang, Chun Hung Roberts Law

Research output: Journal article publicationJournal articleAcademic researchpeer-review

33 Citations (Scopus)


Purpose – This paper aims to employ data envelopment analysis (DEA) models to evaluate the efficiency level and the change of efficiency of the hotel industry in major Chinese cities from 2001 to 2011. The study also aims to investigate the determinants of this efficiency.Design/methodology/approach – The DEA models were used to calibrate the scores of technical efficiency, pure technical efficiency and scale efficiency in each city, and the Malmquist productivity index was introduced to trace the efficiency change. Furthermore, the panel Tobit and linear regression models were applied to look into various factors contributing to efficiency scores.Findings – The inefficiency of the hotel industry generally comes from the pure technical inefficiency. Moreover, the efficiency of the hotel industry has been considerably improved over the research period due to the change in technical efficiency. In addition, it was found that political hierarchy, degree of openness and level of tourism dependence help explain the cross-city differences in efficiency scores, whereas ownership structure dominantly contributes to the improvement of efficiency over time.Practical implications – The benchmark analysis of efficiency is of great importance to cities with an unproductive hotel industry, as it helps them make critical adjustments towards the efficiency frontier.Originality/value – This study represents one of the first studies to rigorously and systematically investigate the efficiency and efficiency change of the hotel industry in major Chinese cities and identify the possible factors explaining the efficiency score.
Original languageEnglish
Pages (from-to)1140-1161
Number of pages22
JournalInternational Journal of Contemporary Hospitality Management
Issue number8
Publication statusPublished - 1 Jan 2014


  • China
  • Data envelopment analysis
  • Hotel efficiency
  • Hotel industry
  • Malmquist index
  • Panel Tobit model

ASJC Scopus subject areas

  • Tourism, Leisure and Hospitality Management


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